Episode 103

Why Treating AI Like a Magic Bullet Could Be Hurting Your Business

103 - Why Treating AI Like a Magic Bullet Could Be Hurting Your Business

Host Vit Muller sits down with chartered engineer, AI consultant, trainer, and author Ali Parandeh to unpack how agencies and SaaS founders can bring an engineering-level approach to AI adoption. From model selection and cost control to governance, data hygiene, and enterprise-grade processes, Ali shares how to move AI from "shiny object" to safe, scalable, and commercially practical systems. They also dive into HighLevel's latest AI capabilities (Ask AI and MCP with Claude Code), when to use deterministic automations vs. AI, how to design better client solutions with the Double Diamond framework, and how to sell higher-ticket, custom builds using discovery and prototyping. Ali closes with a special offer: a free AI Readiness Assessment to benchmark your strategy, governance, data, and team capabilities.

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About GUESTNAME

Ali Parandeh is a chartered engineer, AI consultant, trainer, author, and founder of Build Your AI, where he helps organisations move from AI experimentation to safe, governed, real-world implementation. With experience leading AI deployments across the European Space Agency, rail, manufacturing, infrastructure, and other high-stakes sectors, Ali specialises in helping teams identify high-impact use cases, build internal capability, and create robust AI processes. His work focuses on accuracy, governance, data control, documentation, and building trust in AI-driven environments.

Highlights 🔥

Key points we talked about in this pilot episode!

  • 👉 [00:02:00] Understanding HighLevel's All-in-One Model - Vit explains HighLevel's platform capabilities, its origin story, and how it integrates various marketing tools, providing context for the discussion on AI integration.
  • 👉 [00:07:00] AI Adoption: Small Agencies vs. Enterprises - Ali discusses the differences in AI adoption between nimble small agencies and larger enterprises, emphasizing the challenges and advantages each face.
  • 👉 [00:09:00] HighLevel's AI Capabilities: Ask AI and MCP with Claude Code - Vit and Ali explore HighLevel's new AI features, focusing on how they can enhance CRM functionalities and improve user interaction through conversational AI.
  • 👉 [00:15:00] Importance of Data Hygiene and AI Routines - The conversation shifts to maintaining clean CRM data, with Ali explaining how scheduled AI routines can help audit and clean records, ensuring better AI outputs.
  • 👉 [00:19:00] Cost Control and Choosing the Right AI Model - Ali outlines the importance of selecting the appropriate AI model based on task complexity and cost, using Claude models as examples to illustrate cost-effective AI deployment.
  • 👉 [00:39:00] Defining Problems and Solutions with the Double Diamond Framework - Vit and Ali discuss the Double Diamond framework for identifying and solving business problems, emphasizing its application in creating effective and scalable solutions.
  • 👉 [00:58:00] Building Trust and Selling High-Ticket Solutions - The episode wraps up with strategies for selling high-ticket custom builds, including the importance of building trust and using foot-in-the-door offers to engage clients.

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More info about this episode:

  • Type: Audio (Explicit )
  • Link: https://podcast.highlevelexperience.com/episode/why-treating-ai-like-a-magic-bullet-could-be-hurting-your-business
  • Authors: Vit Muller
  • Copyright 2024 vitmuller.com | highlevelexperience.com
Transcript
Vit Muller:

how do you define, the balance between token usage?

Vit Muller:

is it worth it?

Vit Muller:

When is it not worth it?

Vit Muller:

And how do you manage it?

Ali Parandeh:

basically what you need to know is there i-- you need

Ali Parandeh:

to know when to use each model.

Ali Parandeh:

Each one increases in terms of reasoning capability and also in

Ali Parandeh:

terms of how much their token cost.

Vit Muller:

I've also seen use cases where you have one agent

Vit Muller:

that's the orchestrator, and that one decides which model, which

Vit Muller:

sub-agent to use based on a task.

Vit Muller:

So how do you find that

Ali Parandeh:

from my understanding, the only model that can create sub-agents is

Vit Muller:

AI is so powerful, like it'd be crazy not to use it for leverage.

Vit Muller:

But at the same time, right, like we gotta make sure that the work is quality.

Vit Muller:

how would you work around that?

Ali Parandeh:

what I would say is do not ban your staff from not using AI

Ali Parandeh:

that's basically how you end up with shadow AI deployments, where staff would

Ali Parandeh:

just use their personal ChatGPT and put your company staff data into it.

Vit Muller:

I know you've worked with the enterprise, but you've done some unique

Vit Muller:

work with the, European Aerospace Agency.

Vit Muller:

how did you get into, the area that you work in?

Ali Parandeh:

half of my career essentially has been in engineering.

Ali Parandeh:

The other half has been in AI.

Vit Muller:

Hello, everybody.

Vit Muller:

Welcome to another episode on the HighLevel Experience Podcast.

Vit Muller:

Our guest today brings a slightly different perspective to the show.

Vit Muller:

He's not coming from the usual HighLevel agency background, but

Vit Muller:

that's exactly why I think this conversation will be valuable.

Vit Muller:

He's a chartered engineer, AI consultant, trainer, and author who

Vit Muller:

works with engineering organizations on moving AI from experimentation

Vit Muller:

into real operational use.

Vit Muller:

and what I find interesting is that his role is not just about, let's plug ChatGPT

Vit Muller:

into a workflow and see what happens.

Vit Muller:

He works in environments where accuracy, governance, data control, documentation,

Vit Muller:

safety, and trust really matter.

Vit Muller:

He's led AI deployments for organizations including the European Space Agency, rail,

Vit Muller:

manufacturing, infrastructure, and, other technical sectors where AI can create a

Vit Muller:

lot of efficiency, but where getting it wrong can also create serious problems.

Vit Muller:

He's also the founder of Build Your AI, where he helps teams identify practical AI

Vit Muller:

use cases, build internal capability, and put better processes around AI adoption.

Vit Muller:

So today, I want to unpack what agency owners, SaaSpreneurs, and small business

Vit Muller:

operators can learn from that more structured engineering approach to AI.

Vit Muller:

How do we identify better use cases?

Vit Muller:

How do we stop AI from becoming just another shiny tool?

Vit Muller:

How do we build systems that save time, improve quality, and

Vit Muller:

actually pass internal checks?

Vit Muller:

And how do we help businesses adopt AI in a way that is useful,

Vit Muller:

safe, and commercially practical?

Vit Muller:

Please welcome to the show, Ali Parandeh.

Ali Parandeh:

Amazing.

Ali Parandeh:

Thank you so much, Vit, for the introduction.

Ali Parandeh:

It was, ma- excellent, amazing.

Ali Parandeh:

But yeah, I'm happy here to answer any questions you might have and, definitely

Ali Parandeh:

we can start with talking about where do you even find AI use cases?

Ali Parandeh:

How do you find what's a good use case?

Ali Parandeh:

where do you go to find them?

Ali Parandeh:

How do you actually sit down and brainstorm ideas?

Ali Parandeh:

So definitely, something we'll be interested to talk

Ali Parandeh:

about as well in that area.

Vit Muller:

Yeah, definitely.

Vit Muller:

Let's dive right in.

Vit Muller:

Use cases is important because, AI can be technical, from-- for us HighLevelers.

Vit Muller:

I don't know how much you know about HighLevel actually whilst I got

Ali Parandeh:

Feel free to give an introduction.

Ali Parandeh:

There might be people, there might be listeners as well who are not familiar

Vit Muller:

Well, there you go.

Vit Muller:

That's an interesting one.

Vit Muller:

Yeah, so what HighLevel is, it's an all-in-one sales and marketing CRM

Vit Muller:

founded, back in 2018 by a marketing agency that was, fulfillment,

Vit Muller:

campaigns, projects for clients always, required, patching up different

Vit Muller:

things together, Zapier and all that.

Vit Muller:

And with every project, it just became insane to manage all that.

Vit Muller:

So they set to build something internal for that use case, and I'm just

Vit Muller:

re-regurgitating what, Robin Alex, one of the founders, he w- he was on the show.

Vit Muller:

he explained the story.

Vit Muller:

so they built something that combined, two-way SMS marketing, CRM,

Vit Muller:

omni-channel inbox, couple other things that back then weren't that common.

Vit Muller:

I mean, there was big giants like HubSpot and Salesforce and all those,

Vit Muller:

but they've come up with something pretty amazing and before you know it, other

Vit Muller:

agencies were like, "We want to use too.

Vit Muller:

We want to use it too." So long story short, where we are now is HighLevel

Vit Muller:

is a platform that you pay a license, you can white label it, you can use

Vit Muller:

it for your agency, and you can create unlimited subaccounts and, each subaccount

Vit Muller:

being one of your clients, and you can either, not give them access to it and

Vit Muller:

just purely use it as a way to build campaigns, plug in Facebook lead ads

Vit Muller:

into it, nurture, all that good stuff.

Vit Muller:

Or you can actually do a SaaS model where you sell it to other

Vit Muller:

businesses with a s- with a markup.

Vit Muller:

you can even rebill on things like email, SMS, phone calls, AI, a lot of it.

Vit Muller:

so think about it like If you could consolidate all of the different

Vit Muller:

subscriptions that typical business owners have, maybe they've got email marketing

Vit Muller:

through MailChimp, they have, Twilio for phone and SMS, they have something else.

Vit Muller:

They're paying all these subscriptions separately and are using platforms

Vit Muller:

that are not, integrated.

Vit Muller:

And the only way to integrate them is use Zapier and stuff like

Vit Muller:

that, and that's still painful.

Vit Muller:

But you don't really have a centralized place.

Vit Muller:

So HighLevel is the solution.

Vit Muller:

HighLevel, I'm a big HighLevel nerd, been using it for the last six years.

Vit Muller:

we sell it through our own agency called Stand Out From The Pack to small local

Vit Muller:

business, medium, small and medium-sized businesses, mostly in Australia.

Vit Muller:

And and this podcast, it's a culmination of just loving the platform, being a big

Vit Muller:

nerd, and hanging out with other people that are using it and sharing successful

Vit Muller:

stories, strategies, what works.

Vit Muller:

so it's, pretty unique to have you here as somebody that's not a HighLeveler, yet

Vit Muller:

very related to what we all do because especially with AI being such a big thing

Vit Muller:

now, and every day just keeps innovating, keeps evolving every day by day, right?

Vit Muller:

I mean, Gemini, Mythos, just, all that, it's just nuts.

Vit Muller:

so when I was looking at your LinkedIn profile and I was looking at, your

Vit Muller:

expertise and where you come from, it was pretty interesting to me, because

Vit Muller:

what I saw was, an engineer, it's very technical type of, type of career that you

Vit Muller:

had based on, again, what I've observed.

Vit Muller:

And One repeated topic that I saw in some of your posts was regarding,

Vit Muller:

safety, compliance, redundancies, working in the enterprise sector where

Vit Muller:

these things are really important.

Vit Muller:

And us-- And then bringing it back in, in my head, like, how

Vit Muller:

does that relate to what we do?

Vit Muller:

We help smaller businesses, small to medium sized businesses.

Vit Muller:

But I think all that around compliance and, trust and all that stuff, I think

Vit Muller:

it's gonna be more and more important because the industry is really maturing.

Vit Muller:

AI is no longer just this, it just, it just got out of the box that

Vit Muller:

was like, four years ago, ChatGPT, everybody's like: "Wow, that's awesome."

Vit Muller:

But now I'm seeing this shift where it's like it's really maturing

Vit Muller:

and there are more requirements.

Vit Muller:

It's no longer talking to businesses and they're like: "What is AI?" Or,

Vit Muller:

"How do I even use it?" Now it's like: "Yeah, we use it or we want to use it.

Vit Muller:

We know what it does, but we want to make sure, we want to make sure that we're

Vit Muller:

safe and that it's not me- super expensive because…" So anyway, I don't want to

Vit Muller:

steal your thunder, but kind of like just giving a bit of a backstory to why you're

Vit Muller:

here to the guys who are listening and why it's-- why I think it's going to be

Vit Muller:

beneficial for you guys to continue to listen what we're about to dive into.

Ali Parandeh:

No, sounds good.

Ali Parandeh:

You're, you are definitely right.

Ali Parandeh:

It is getting to a stage where a lot of enterprises are now

Ali Parandeh:

starting to play with it.

Ali Parandeh:

Some of them have successfully started adopting it to a stage, and

Ali Parandeh:

there are still some of them who are still early in their journey.

Ali Parandeh:

Like what they're doing is maybe get some Copilot licenses, and that's their AI

Ali Parandeh:

adoption in their face, in their heads.

Ali Parandeh:

And, still the employees have to go and start requesting these licenses.

Ali Parandeh:

And they're not really getting into more advanced tools like, I don't know,

Ali Parandeh:

Hicksfield and Claude or any of those other subscriptions where small agencies

Ali Parandeh:

and small companies have that pace and speed when it comes to AI adoption

Ali Parandeh:

and start using those specific skills.

Ali Parandeh:

And the main driver is with big enterprise, they're way slower.

Ali Parandeh:

They need to want to have all their AI policies in place and make sure

Ali Parandeh:

that it's safe, their data is safe, it's private, it's not going to

Ali Parandeh:

random servers around the world.

Ali Parandeh:

And those things kind of slows them down.

Ali Parandeh:

But it means that also that they are s- they are more articulated than you think.

Ali Parandeh:

They have more, understanding of what AI is and where it's used.

Ali Parandeh:

but in some areas, what they're doing mostly with it is summarizing

Ali Parandeh:

emails and summarizing documents.

Ali Parandeh:

that's the use case that they're meddling with some of them.

Ali Parandeh:

Whereas others are a bit more advanced.

Ali Parandeh:

Others are like even building their own bespoke models on

Ali Parandeh:

top of their own datasets.

Ali Parandeh:

Like they're doing machine learning on top of this data, which is a way,

Ali Parandeh:

way more advanced use case when it comes to using AI rather than just

Ali Parandeh:

using Copilot or ChatGPT or Claude.

Ali Parandeh:

But what I've seen with more smaller enterprises, smaller companies, especially

Ali Parandeh:

the ones that are more tech-savvy, they're doing a lot more work with Claude.

Ali Parandeh:

Claude subscription, especially because it can code, it can do

Ali Parandeh:

design, it can do all of those things.

Ali Parandeh:

for agencies and for, smaller enterprises, Claude and ChatGPT Plus, like the team

Ali Parandeh:

enterprise version, are essentially their, their go-to digital brain and

Ali Parandeh:

AI system when it comes to all of these automations and innovations when

Ali Parandeh:

it comes to, adoption, AI adoption.

Ali Parandeh:

Whereas bigger enterprises were mostly Co-Pilot, so Copilot Enterprise and

Ali Parandeh:

Copilot, and some of them you would see that they would go with these enterprises

Ali Parandeh:

around, Anthropic Claude or ChatGPT

Vit Muller:

So it's gonna be really interesting, 'cause you've hinted on it.

Vit Muller:

Like us smaller agencies, we are a lot more nimble with this stuff.

Vit Muller:

We are experimenting a lot more, and oftentimes we are using

Vit Muller:

more cutting-edge stuff than the enterprise sector might, right?

Vit Muller:

So it's giving us a competitive advantage and the clients that we help the same

Ali Parandeh:

Exactly

Vit Muller:

You know, HighLevel just announced last week a native MCP with

Vit Muller:

Claude Code so that you can get meth- me- methods directly into HighLevel.

Vit Muller:

And you

Vit Muller:

think

Ali Parandeh:

I was gonna ask you about that actually.

Ali Parandeh:

can I connect my Claude agent to it and talk to the HighLevel directly?

Vit Muller:

Anything you want.

Vit Muller:

Well, I mean, HighLevel has a native function called

Vit Muller:

Ask AI, so that's built in.

Vit Muller:

You just talk to it.

Vit Muller:

But you can also connect it to your own Claude code through the

Vit Muller:

NCP and it does anything you want.

Vit Muller:

"Hey, go through the CRM and surface up the 20 contacts that are most likely,

Vit Muller:

to close in the next 30 days based on the history of, based on data."

Ali Parandeh:

that is I think where we're going with 2026, 2027 is

Ali Parandeh:

that people don't really like to go into UIs anymore and click around.

Ali Parandeh:

They wanna just talk to the AI assistant, and AI assistant tal- uses the MCP to

Ali Parandeh:

talk to the systems under the hood.

Ali Parandeh:

Especially when you're doing like weekly alignments or, monthly alignments or

Ali Parandeh:

doing quarterly reviews and stuff.

Ali Parandeh:

Instead of going into a UI and clicking around, you just open a chat and

Ali Parandeh:

say, "Run this skill. Run the weekly alignment skill for me, and fetch

Ali Parandeh:

the information for me, and let's do talk about it and analyze it."

Vit Muller:

Yeah.

Ali Parandeh:

And write back to the system

Vit Muller:

And more like anything's possible really.

Vit Muller:

Like I've-- The other day I was like looking at adoption.

Vit Muller:

do we improve adoption for our customers who sign up through our

Vit Muller:

white labels that they can adopt the HighLevel more effectively?

Vit Muller:

It's a big, it's a big thing for us.

Vit Muller:

It's a big thing that I'm seeing across the, the SaaS industry, HighLevel

Vit Muller:

SaaS industry, that, you get a smaller business, a new customer who are going

Vit Muller:

through this digital transformation, and they access the account, and then

Vit Muller:

suddenly there's there's so much, right?

Vit Muller:

It's like I said, it's all in one sales and marketing.

Vit Muller:

It's got all the tool sets.

Vit Muller:

CRM, you can build funnels, you can do voice AI, you can

Vit Muller:

do anything you can think of.

Vit Muller:

Really robust automation workflows, anything.

Vit Muller:

And then they get in and they get overwhelmed.

Vit Muller:

So adoption for us is always like, how do we, how do we make sure that

Vit Muller:

they have a great experience, they get wins quickly so that, so they

Vit Muller:

can really quickly see the return?

Vit Muller:

Because the risk is, whilst it's an amazing toolbox with a lot of tools and

Vit Muller:

it can really do anything, is that you can get analysis paralysis and you don't use

Vit Muller:

it for anything, and then you just look at it as a subscription cost and you cancel.

Vit Muller:

doesn't really happen for us, touch wood, but you know, some

Vit Muller:

churn still happens over time, and so adoption is really important.

Vit Muller:

And with this, with Ask AI, with ability to… That was what I was

Vit Muller:

leaning into here the other day.

Vit Muller:

I was, I was talking to it and I said, "Look, I want to build a

Vit Muller:

new course, that's purely about adoption for new users," picking,

Vit Muller:

five most easy turnkey features that business can start using right away.

Vit Muller:

One of them being reputation management, just by connecting your

Vit Muller:

Google Workspace, sorry, your Google Business listing and being able to

Vit Muller:

send out review requests and then have AI to respond to reviews for you.

Vit Muller:

And then if it's a five-star to automatically schedule

Vit Muller:

and post in your socials.

Vit Muller:

that's one of those like really easy ones.

Vit Muller:

But even then, businesses don't know about it, right?

Vit Muller:

So I just spoke to Ask AI.

Vit Muller:

It's hey, so this is one of them and, can you think of three other features

Vit Muller:

that are really like off the box, like off the shelf, but really work well

Vit Muller:

really quickly and build me a course.

Vit Muller:

And so in HighLevel, there is a, there's a section called Memberships, and inside

Vit Muller:

Memberships you can create your own dedicated customer portal that they can

Vit Muller:

log into, and in the portal they can access courses, they can access a private

Vit Muller:

community, they can access, um- billing, if you have that turned on, all that.

Vit Muller:

And it did it.

Vit Muller:

It just, because AskAI is fully connected with all the other feature sets of

Vit Muller:

HighLevel, it just went and did it.

Vit Muller:

And then actually it created lessons.

Vit Muller:

It created, categories of the whole course, descriptions of the lessons.

Vit Muller:

The only thing that was left for me to do was just there's a placeholder

Vit Muller:

where you can upload the videos

Ali Parandeh:

So because you had the MCP connector connected, the

Ali Parandeh:

AI assistant could use the MCP connector to, create those resources

Ali Parandeh:

in the tool into HighLevel.

Ali Parandeh:

And all you had to do is go back and forth.

Ali Parandeh:

So your work, your workflow as a user would be to just open a chat and say,

Ali Parandeh:

I'm thinking of creating this course.

Ali Parandeh:

Create the community space for me and add these courses in and add these

Ali Parandeh:

lessons." And then you just basically go back and forth in the chat, and you

Ali Parandeh:

go work through your course content, your lessons, all inside the chat, and

Ali Parandeh:

something like Claude keeps pushing the information into the platform instead

Ali Parandeh:

of like you having to suddenly learn the entire user interface compared to being

Ali Parandeh:

in a, in a similar interface, which is just your chat interface inside Claude.

Ali Parandeh:

And I think that's basically the trend that's gonna be, that's gonna

Ali Parandeh:

be upcoming inside 2027, 2026 is experience of users with software.

Ali Parandeh:

it's not gonna be-- You don't have to sit down and learn user interfaces anymore.

Ali Parandeh:

You can just connect the MCP.

Ali Parandeh:

The c-- The AI assistants will know how to talk to the different interfaces

Ali Parandeh:

of the platforms to fetch data and manipulate data and create records

Vit Muller:

Yeah, pretty much.

Vit Muller:

I, but, I think the caveat to that is the ability of AI to, to action stuff is

Vit Muller:

all based on a context, and is all based on how clean and organized your CRM is.

Vit Muller:

So for example, if you've got a pipeline full of opportunities inside HighLevel,

Vit Muller:

and it's messy and you haven't really been managing your pipelines, l- keeping it

Vit Muller:

up to date, then HighLevel doesn't know.

Vit Muller:

the AI wouldn't know it.

Vit Muller:

The AI would just, would take that for granted.

Vit Muller:

and then if you ask, "Go through my pipeline and, surface up three

Vit Muller:

biggest opportunities coming up," but if the pipeline is not

Vit Muller:

accurate, it's not gonna work.

Vit Muller:

So I think a combination… I don't know.

Vit Muller:

Like I was gonna say is I think the combination is gonna be having an

Vit Muller:

admin team or s- VIs who are keeping it up to date, who are like a sales

Vit Muller:

team maybe, who are really managing the CRM really well, and they're still

Vit Muller:

leveraging AI too, but keeping the contact records and everything, up to

Vit Muller:

date so that the AI agent component to it w- works with an accurate,

Ali Parandeh:

Yeah, I see what you mean.

Ali Parandeh:

I think, that there is that element of up-- maintaining

Ali Parandeh:

it and upkeep it definitely.

Ali Parandeh:

I think there is also the element of if you don't maintain it, and then

Ali Parandeh:

when it comes to connecting your AI assistant to it, there, there is a

Ali Parandeh:

context rot because of all that missing information or incorrect information

Ali Parandeh:

getting fed into the context of the chat and polluting it, confusing the AI.

Ali Parandeh:

but you can now set schedules.

Ali Parandeh:

There are features in tools like Claude where you can set a timer and

Ali Parandeh:

a scheduled conversation where you-- it runs a cleaning operation for you.

Ali Parandeh:

So it would audit-- It would essentially fetch the information, but with the

Ali Parandeh:

purpose of cleaning the information and flagging, "These records seem out of date.

Ali Parandeh:

Do you want me to clean them for you?" And you used to just say yes to reduce

Ali Parandeh:

the burden of you having to go through or even h-having a whole admin team

Ali Parandeh:

going through, because then AI can just quickly bulk edit or bulk delete

Ali Parandeh:

bunch of records, without you having to go through or an admin person having

Ali Parandeh:

to go through all these different records, finding them and flagging them.

Ali Parandeh:

Especially because when you're looking at different columns, there would be

Ali Parandeh:

elements in there where individual cells might not be enough for you to look at.

Ali Parandeh:

You need to look at the entire row and the context of the entire row to decide

Ali Parandeh:

whether that row needs to be deleted.

Ali Parandeh:

And I think that's what AI is really good at, is to look at the entire row

Ali Parandeh:

across lots of rows, within its context.

Ali Parandeh:

I think some of these models have like context window of 1 million

Ali Parandeh:

tokens, which is about 750,000 words.

Ali Parandeh:

So an encyclopedia worth of words can be fit in there.

Ali Parandeh:

obviously don't wanna fill it up because it increases the chances

Ali Parandeh:

of hallucination, but you do wanna, you can still use this up with, I

Ali Parandeh:

don't know, 200, 300, 400 records.

Ali Parandeh:

I don't think people will have way more, many records in their millions of rows.

Ali Parandeh:

But 300 records is nothing, compared to the context size.

Ali Parandeh:

So you can actually even run periodical conversations on schedule in your

Ali Parandeh:

Claude tool, in Claude Chat or Claude Code, to review the records for

Ali Parandeh:

you and clean them up time to time

Vit Muller:

Yeah.

Vit Muller:

I think what this has got a cron job, isn't it?

Vit Muller:

setting up these cron jobs

Ali Parandeh:

it under the hood, it does, it does cron jobs, but it is

Ali Parandeh:

abstracted away from you as a user.

Ali Parandeh:

You don't need to know coding or anything like that.

Ali Parandeh:

you just basically in Claude Desktop, you can run scheduled

Ali Parandeh:

triggers, scheduled chats basically.

Ali Parandeh:

Routines, we call them routines.

Ali Parandeh:

You can run weekly routines where on a Friday it creates a chat, fetches the

Ali Parandeh:

last 200 records from HighLevel using the MCP connector, and then runs an

Ali Parandeh:

audit for you based on a checklist.

Ali Parandeh:

You can create a checklist for what it needs to look for.

Ali Parandeh:

And then it would just basically use a human in the loop where it asks you,

Ali Parandeh:

"Oh, these are the records. Do you want me to delete them?" So it wouldn't

Ali Parandeh:

just delete them out of nothing.

Ali Parandeh:

It would have to get the approval from you

Vit Muller:

yeah.

Vit Muller:

it's an interesting area 'cause, I've been, I've been using Victor AI

Vit Muller:

for the last couple of weeks, right?

Vit Muller:

I've got it… You probably heard of it.

Vit Muller:

I've got it connected through Slack, got it connected to a couple of

Vit Muller:

things, and, the token usage, on that particular product is higher.

Vit Muller:

They've got their own markups as well.

Vit Muller:

but it's brilliant product.

Vit Muller:

But, setting up these, these cron jobs, these repeated jobs that it

Vit Muller:

does, is very good because it's like a proactive team member on, on, in

Vit Muller:

your business that you don't always have to instruct to do things.

Vit Muller:

it's really changing.

Vit Muller:

But the-- it's like how do you define, the balance between token usage?

Vit Muller:

is it worth it?

Vit Muller:

When is it not worth it?

Vit Muller:

And how do you manage it?

Vit Muller:

And I think, again, from your perspective and your experience working in the

Vit Muller:

enterprise sector, it's, there's bigger scale and way bigger bills.

Ali Parandeh:

So basically what you need to know is there i-- you need

Ali Parandeh:

to know when to use each model.

Ali Parandeh:

So for instance, I'm gonna just stick with Claude models, but for the simplicity

Ali Parandeh:

that we have Claude Haiku, Claude Sonnet, Claude Opus, and now Claude Fable.

Ali Parandeh:

Right?

Ali Parandeh:

Each one increases in terms of reasoning capability and also in

Ali Parandeh:

terms of how much their token cost.

Ali Parandeh:

Haiku, one million tokens in and out would cost you, I

Ali Parandeh:

don't know, less than a dollar.

Ali Parandeh:

Fable, one million tokens in and out will cost you $60, right?

Ali Parandeh:

So you can see how much it's gonna burn through your credits if you use them.

Ali Parandeh:

Don't go and use Fable to clean up your CRM.

Ali Parandeh:

Use something cheaper.

Ali Parandeh:

So use either a Sonnet or Haiku model because, these are essentially for like

Ali Parandeh:

low te-- low-level mechanical tasks that you just basically give to a junior to do.

Ali Parandeh:

think of your team as a junior, senior, principal and technical director.

Ali Parandeh:

You don't go and give a technical director a spreadsheet and data

Ali Parandeh:

entry task on your team, would you?

Ali Parandeh:

you're paying them hundred thousand pou- hundred thousand pounds

Ali Parandeh:

a year, for instance, right?

Ali Parandeh:

You're not gonna give them data spreadsheet entry work.

Ali Parandeh:

You're gonna give them more strategic level work.

Ali Parandeh:

go come up with a strategy to increase our sales by 20% in the next year.

Ali Parandeh:

Whereas for the junior, like a graduate entry or an intern, you

Ali Parandeh:

would give them a data entry work.

Ali Parandeh:

So I think it's the same thing here.

Ali Parandeh:

if you use-- for enterprise-grade work where we're running

Ali Parandeh:

billions of tokens a day.

Ali Parandeh:

So I've built data processing pipelines for a mortgage enterprise in the US as

Ali Parandeh:

part of my previous roles, where we had to process one billion tokens a day.

Ali Parandeh:

So that's one billion PDFs, data extraction and validation, right?

Ali Parandeh:

Through ChatGPT APIs.

Ali Parandeh:

Now that one is basically you're looking at one encyclopedia

Ali Parandeh:

worth of data processing.

Ali Parandeh:

And, for that one, you're not gonna have to use… I mean, for them,

Ali Parandeh:

the price didn't really matter because they had lots of money.

Ali Parandeh:

But, what you don't wanna do is you don't wanna run it across really

Ali Parandeh:

big models like Opus or, Fable.

Ali Parandeh:

What you wanna do is you wanna run it through smaller models and Haiku.

Ali Parandeh:

So always start with small one, do a small test run and see how good

Ali Parandeh:

it is, and then go up one level.

Ali Parandeh:

Don't always start from the beginning.

Ali Parandeh:

And I think the peop-- mistake people make is for m-most business owners,

Ali Parandeh:

they just basically default on Opus, and then they realize why their

Ali Parandeh:

credits are running out or Fable.

Ali Parandeh:

Like Fable, the only, one of the exercises I did when Fable came out,

Ali Parandeh:

I went and asked Fable, "When should I use you and when should I not use

Ali Parandeh:

you compared to Opus, like 4.8?" And it gave me a really good list.

Ali Parandeh:

Like one of the-- Like if you look at the benchmarks, like the leaderboards

Ali Parandeh:

of how Fable compares to Sonnet and Opus, Fable is really good at spatial

Ali Parandeh:

reasoning and multi-level, which is basically like understanding 3D space.

Vit Muller:

Yeah

Ali Parandeh:

So if you're gonna be working on a 3D model app or you will,

Ali Parandeh:

you have data that's more CAD data, or you have data that's point clouds,

Ali Parandeh:

LiDAR data scans, you wanna like generate tool paths for a manufacturing

Ali Parandeh:

machine like CNC machine, and you want it to be able to understand that, or

Ali Parandeh:

you're, you wanna design a completely new website that's completely like

Ali Parandeh:

im- amazing, interesting design.

Ali Parandeh:

That's when you use Fable.

Ali Parandeh:

Whereas Opus is for more general everyday complex coding tasks.

Ali Parandeh:

and also Fable is really useful if you have a lot of interconnected

Ali Parandeh:

documents that you need to reason over.

Ali Parandeh:

So super complicated logical reasoning stuff, not for, data

Ali Parandeh:

cleaning and 3D, that kind of tasks.

Ali Parandeh:

That's where Fable is good.

Ali Parandeh:

And like when I tried it, like I got Fable to design me, a 3D model of a

Ali Parandeh:

satellite dish just with code, and you could like literally scan it, view it

Ali Parandeh:

in 3D, a 3D model of HVAC unit, and then calculate the, create the code for

Ali Parandeh:

CNC machine that manufactures it, use it, using subtractive manufacturing.

Ali Parandeh:

That kind of stuff we can do with Fable.

Vit Muller:

Yeah, that's brilliant.

Vit Muller:

and so understanding that is critical, but that's also, if you're using it

Vit Muller:

day-to-day and you're, you are the one that's, changing the models.

Vit Muller:

I've also seen use cases where you have one agent that's the orchestrator, and

Vit Muller:

that one decides which model, which sub-agent to use based on a task.

Vit Muller:

So how do you find that

Ali Parandeh:

So from my understanding, the only model that

Ali Parandeh:

can create sub-agents is Fable.

Ali Parandeh:

so one workflow I tried it on is I went to the London Tech Week a few

Ali Parandeh:

weeks ago where I recorded about 40 sessions, like their transcripts, and

Ali Parandeh:

I got Fable-- I set a screenshot of my Notion database to Fable, nothing else.

Ali Parandeh:

And I said, "Go and fetch the, all these records.

Ali Parandeh:

Figure out all the records in the database that's related to this Tech Week, fetch

Ali Parandeh:

all the transcripts and check every claim in every transcript against sources on

Ali Parandeh:

the web, and then create me a infographic, a research report and a, document, like

Ali Parandeh:

a HTML interactive document, with all the sources like showing me like which

Ali Parandeh:

ones, verified, which ones unverified."

Ali Parandeh:

Right?

Ali Parandeh:

So that's the task I ran Fable on.

Ali Parandeh:

and this was like during a workshop I was doing with, one of the

Ali Parandeh:

automotive companies when I was showing them the demonstration.

Ali Parandeh:

What-- Basically, what happened was it took 20 minutes for Fable to finish,

Ali Parandeh:

but what was interesting, Fable created six sub-agents during the process,

Ali Parandeh:

handing off 15 transcripts to each sub-agent to go and check across the web.

Ali Parandeh:

So each sub-agent was doing like 2,000 different data source checks.

Ali Parandeh:

And like they figured out like half-- some of these claims were s- partial.

Ali Parandeh:

It verified about 60% of the claims, and 30% of the claims were unverified.

Ali Parandeh:

So for instance, if one of the claims was saying that, there was this

Ali Parandeh:

cybersecurity incident and the UK economy had a loss of ÂŁ2 billion, it

Ali Parandeh:

was saying no, it was ÂŁ2.1 billion.

Vit Muller:

Right

Ali Parandeh:

it did this kind of stuff that was, more sophisticated,

Ali Parandeh:

but they probably burned through a lot of tokens doing that.

Ali Parandeh:

20 minutes

Vit Muller:

And you didn't ask Fable to use, to create those sub a- sub

Ali Parandeh:

no.

Ali Parandeh:

all I said is just go f- go fetch the transcripts.

Ali Parandeh:

Make a bunch of reports and infographics, but check every claim in them

Vit Muller:

Yeah.

Vit Muller:

That's brilliant.

Vit Muller:

That's, yeah, wow.

Vit Muller:

I mean, Fable is so new, that's, I haven't, had a

Vit Muller:

chance to fully dive into it.

Vit Muller:

I know the US had put a restriction on it, and now they've opened it up

Vit Muller:

again, yeah, it's very impressive

Ali Parandeh:

yeah, I think I did like a, I did I think some,

Ali Parandeh:

when to use Cloud Fable chat.

Ali Parandeh:

let me bring it up.

Ali Parandeh:

So basically, these are the, these are when you wanna use Fable and

Ali Parandeh:

when you don't wanna use Fable.

Ali Parandeh:

So multi-day or multi-hour autonomous runs in cloud code, like if you're doing

Ali Parandeh:

large refactors, migrations, and building like complex features for your apps

Ali Parandeh:

if you're a SaaS owner, SaaS company.

Ali Parandeh:

Complex multi-step implementations where errors compound.

Ali Parandeh:

one-shotting full apps or UI-heavy prototypes, where it can self-criticize

Ali Parandeh:

its own outputs against design.

Ali Parandeh:

So one of the things I did notice what Fable does when I ask it to

Ali Parandeh:

create 3D models is that it would render the model once it creates

Ali Parandeh:

it, because it cannot actually see the models, it's just writing code.

Ali Parandeh:

It renders the model for itself, takes a screenshot of the model from

Ali Parandeh:

different angles, and looks at the screenshot because it can read images in.

Ali Parandeh:

See how crazy it is?

Ali Parandeh:

So it can look at a satellite dish from different angles to see if it

Ali Parandeh:

has modeled it correctly, and then if it hasn't, it goes back and fixes it

Vit Muller:

Wow.

Ali Parandeh:

Like that's the kind of stuff it can do.

Ali Parandeh:

Like it can self-criticize without you having to ask.

Ali Parandeh:

It can check its own work.

Ali Parandeh:

And one of the biggest problems I've seen with enterprises not trusting

Ali Parandeh:

AI is that the AI that they have access to oftentimes can create slop.

Ali Parandeh:

And especially when juniors use it, that slop can then get into the hands

Ali Parandeh:

of customers, which can damage a- any brand, any consultancy brand.

Ali Parandeh:

So if you're agency owner, imagine like sending AI slop reports to,

Ali Parandeh:

customers and they entirely lose their trust and credibility in the process,

Ali Parandeh:

which happened to the big four.

Ali Parandeh:

Like all the big four companies, if you look at the news like PWC, like EY, all

Ali Parandeh:

of these companies got into big troubles because of AI-generated reports they

Ali Parandeh:

sent to governments and stuff, and they had to then cut staff down, because of

Ali Parandeh:

the damage it provi- it, it got to them.

Ali Parandeh:

So

Vit Muller:

those big consulting firms.

Vit Muller:

Yeah.

Vit Muller:

so what's the workaround?

Vit Muller:

how do you make sure that there is quality?

Vit Muller:

Because you still… I mean, AI is so powerful, like it'd be

Vit Muller:

crazy not to use it for leverage.

Vit Muller:

But at the same time, right, like we gotta make sure that the work is quality.

Vit Muller:

how would you work around that?

Ali Parandeh:

So what I would say is do not ban your staff or yourself from not

Ali Parandeh:

using AI because that's the ultimate place to get-- that's basically how you end up

Ali Parandeh:

with shadow AI deployments, where staff would just use their personal ChatGPT

Ali Parandeh:

and put your company staff data into it.

Ali Parandeh:

if you just ban yourself and staff from using AI, they're just still

Ali Parandeh:

gonna use it, but they're not gonna use your approved AI provider.

Vit Muller:

It's a good point.

Vit Muller:

They wanna be proactive,

Ali Parandeh:

Yeah, so they wanna be productive.

Ali Parandeh:

They know it can be done in a minute.

Ali Parandeh:

They're not gonna be willing to sit there and do it for a week, especially

Ali Parandeh:

if it's like some admin work.

Ali Parandeh:

So the banning AI is not the solution.

Ali Parandeh:

And enterprises try to ban AI and not give people a good tool to use, they will

Ali Parandeh:

end up having to do shadow AI deployments they can't control, where staff will just

Ali Parandeh:

use, email the info to themselves and then put it into their ChatGPT, right?

Ali Parandeh:

the right way to do it is you need to implement AI policies and AI

Ali Parandeh:

processes in your organization.

Ali Parandeh:

So what I mean by that is when I was an eng-- when I was working as an engineering

Ali Parandeh:

firm, engineering consultancy back in the day, this was before all the ChatGPT.

Ali Parandeh:

We had a process called OCRA.

Ali Parandeh:

Have you heard of it?

Vit Muller:

No

Ali Parandeh:

No?

Ali Parandeh:

So it stands for originator, checker, reviewer, and authorizer or approver.

Ali Parandeh:

Each role had specific checklists to follow when a output was

Ali Parandeh:

produced by the originator, right?

Ali Parandeh:

So the originator had a checklist to check through, the, checker had a

Ali Parandeh:

checklist, the reviewer had a checklist, and the authorizer had a checklist.

Ali Parandeh:

And only the documents that have passed through OCRA would have-- would, could go

Ali Parandeh:

to the customer or would go to the client.

Ali Parandeh:

And this was pre-AI.

Ali Parandeh:

This was even like manually drafted documents that could

Ali Parandeh:

have human mistakes in it.

Ali Parandeh:

Now with AI, you could have slop going into documents.

Ali Parandeh:

Like a slop basically means AI content that doesn't really give you any insights.

Ali Parandeh:

it's not consistent with the rest of the document because it's been

Ali Parandeh:

prompted across different chats.

Ali Parandeh:

Different people have prompted AI in differently.

Ali Parandeh:

and the other thing AI has in terms of mistakes, it can hallucinate

Ali Parandeh:

facts, it can hallucinate citations.

Ali Parandeh:

So the big four got into trouble because their citations were hallucinated.

Ali Parandeh:

And it could also use hidden assumptions that are incorrect, that doesn't tell you.

Ali Parandeh:

So they-- it, like it would produce a document with some hidden

Ali Parandeh:

assumptions until you tell it, right?

Ali Parandeh:

two of the prompts you can tell-- try right now with your AI assistant is, ask

Ali Parandeh:

it, "If I eat five hundred kilo calories a day for the next ten day, ten years above

Ali Parandeh:

my calorie limit, how fat am I gonna get?"

Ali Parandeh:

And see what it tells you.

Vit Muller:

Well, let me try that.

Vit Muller:

I'm actually interested in that one.

Vit Muller:

Hang on.

Vit Muller:

500 calories daily, yeah?

Ali Parandeh:

500 calories daily above my calorie limit for the next 10 years

Vit Muller:

If I eat 500 calories daily above my calorie limit for the next 10

Vit Muller:

years, how much more overweight will I be?

Vit Muller:

All right, let me hit go on that one.

Vit Muller:

All right, so I think it… I'm using ChatGPT just,

Ali Parandeh:

it might have gotten better, but if you get anything resembling

Ali Parandeh:

a straight line going all the way to 400 calo- kilograms, that's how you

Ali Parandeh:

know the kind of mistakes it's making.

Ali Parandeh:

Or if the BMI it's giving you goes above a certain limit

Vit Muller:

It's currently just checking through the websites.

Vit Muller:

I've got it on a high model,

Ali Parandeh:

that reduces the chances of mistake.

Ali Parandeh:

But a-another thing you can try, like normally small models would make mistakes

Ali Parandeh:

on this, is I have a car I need to wash.

Ali Parandeh:

The car wash is 50 meters away.

Ali Parandeh:

Should I walk or drive?

Vit Muller:

Nah.

Vit Muller:

yeah.

Vit Muller:

so I've got the return on that one.

Vit Muller:

So it says, "Assuming your calorie limit means you're current maintenance

Vit Muller:

calories, then simple math answer, 500 extra calories per day by 365

Vit Muller:

days by 10 years is 1 million extra calorie- 1,000,800 extra calories." da.

Vit Muller:

"More realistic answer, you probably would not gain 236 kilos.

Vit Muller:

As your body gets heavier, your maintenance calories rise, so the same 500

Vit Muller:

calorie surplus becomes smaller relative to your new body size." yeah, I mean,

Vit Muller:

this is… I think this is pretty good.

Vit Muller:

yeah, I mean,

Ali Parandeh:

It is pretty good

Vit Muller:

Yeah.

Vit Muller:

by basically, so substance is what we want.

Vit Muller:

We don't want just AI slop.

Vit Muller:

Like even es- like in my c- use case, content for, content marketing, right?

Vit Muller:

Articles, socials, all that.

Vit Muller:

these days, if it's just vanilla, it's like it doesn't really cut

Vit Muller:

through anything, and it doesn't get noticed by people, and it certainly

Vit Muller:

doesn't get noticed, for SEO.

Vit Muller:

Well, that's a whole another conversation, but right?

Ali Parandeh:

what I've heard is AI-written content does have

Ali Parandeh:

efficiency, doesn't have efficacy

Vit Muller:

Yeah, it doesn't have the substance.

Vit Muller:

Yeah.

Vit Muller:

And then if

Ali Parandeh:

doesn't carry the

Vit Muller:

for substance, that's when the AI can try harder and sometimes

Vit Muller:

can try to please you and hallucinate just to, just for the sake of

Ali Parandeh:

it can mimic you to some extent.

Ali Parandeh:

if you set the styles correctly and you put-- give it enough context, it

Ali Parandeh:

can mimic you, but it doesn't have the efficacy, so it doesn't carry

Ali Parandeh:

the emotion that a copy would carry.

Vit Muller:

Right,

Ali Parandeh:

if you sit down and write a copy for your marketing landing page

Ali Parandeh:

or for a newsletter and you want to persuade people, AI has a harder time

Ali Parandeh:

persuading and carrying that emotion

Vit Muller:

Yeah, that does pick… I haven't, I mean, I'm prompting it with a

Vit Muller:

particular copywriting style, so I haven't really, found that be the case as much.

Vit Muller:

But I guess it all comes down to prompting, doesn't it?

Vit Muller:

Ali, I wanna shift our conversation a little bit, and just maybe

Vit Muller:

outline a bit of a backstory.

Vit Muller:

just your career journey, what it's been like, and how did

Vit Muller:

you get to where you're now.

Vit Muller:

and then I'd like to dive in more into the use cases that are gonna be very

Vit Muller:

relevant to our audience, especially with small to medium sized businesses.

Vit Muller:

I know you've worked with the enterprise, but you've done some unique work

Vit Muller:

with the, European Aerospace Agency.

Vit Muller:

Sounds pretty cool.

Vit Muller:

so yeah, I think that'd be great area to dive into.

Vit Muller:

But first, like how did how did you get into, like the area that you work in?

Ali Parandeh:

Yeah, the, definitely.

Ali Parandeh:

So half of my career essentially has been in engineering.

Ali Parandeh:

So this is traditional systems engineering, mechanical

Ali Parandeh:

engineering, that kind of areas.

Ali Parandeh:

The other half has been in AI.

Ali Parandeh:

the way it work is that, back in the day, I used to be a rail engineer,

Ali Parandeh:

when I started at Atkins, so it was a huge consultancy that they do.

Ali Parandeh:

they basically build rail-- they basically design the railways, the

Ali Parandeh:

infrastructure that you op- that you basically experience day in, day out.

Ali Parandeh:

So they're a massive consultancy doing, design of infrastructure,

Ali Parandeh:

working for governments and b- big construction comp- organizations.

Ali Parandeh:

I essentially was after a couple of years working there that I then started

Ali Parandeh:

gradually learning Python, learning data science technologies and AI

Ali Parandeh:

technologies, machine learning, and started, trying to implement some of

Ali Parandeh:

these, wh- especially when we were doing some modeling work, on some of

Ali Parandeh:

the rail and infrastructure projects.

Ali Parandeh:

we normally used to use MATLAB.

Ali Parandeh:

I started translating that code into Python and developing the models

Ali Parandeh:

in the Python, for the clients.

Ali Parandeh:

in the same time, started doing hackathons.

Ali Parandeh:

so this is essentially where you do two-day competitions trying to build

Ali Parandeh:

solutions to infrastructure problems.

Ali Parandeh:

and the company that was organizing those hackathons, called CrossTech,

Ali Parandeh:

they essentially was inter-- they got interested, and they hired me, to run some

Ali Parandeh:

of the projects that they were leading to essentially take some of these ideas for

Ali Parandeh:

what to build into products and to also build new products on the way as well.

Ali Parandeh:

So they were essentially more like a hybrid consultancy technology

Ali Parandeh:

firm focused on computer vision as a specialty, supplying the rail market.

Ali Parandeh:

So some of the products I built for them include, lineside vegetation management

Ali Parandeh:

detection, where you put a camera in front of a train, and the camera essentially

Ali Parandeh:

construct a 3D space and figures out the distance of vegetation to the track.

Ali Parandeh:

Because if the vegetation grows, it can drop onto the overhead

Ali Parandeh:

line equipment and cause fire.

Ali Parandeh:

And all it was doing is basically using a phone camera.

Ali Parandeh:

So a

Ali Parandeh:

computer vision…

Vit Muller:

not even like a LiDAR sensor required, just a regular phone

Ali Parandeh:

just a regular phone camera.

Ali Parandeh:

You take a video, construct 3D point space, and figure out essentially

Ali Parandeh:

like distances based on that and detect violations just from that.

Ali Parandeh:

And it would give you a dashboard with a map with all the violations on it.

Ali Parandeh:

And essentially, it's a big, massive market right now,

Ali Parandeh:

lineside vegetation detection.

Ali Parandeh:

But I work on other products as well, like passenger counting, where you

Ali Parandeh:

install a camera on a bus, look down, and it counts people on and off the

Ali Parandeh:

bus by just looking at their heads.

Ali Parandeh:

sub-threshold delay analysis analytics tools, as well as developing the

Ali Parandeh:

network rails, lifts and escalators API.

Ali Parandeh:

So if you're building a software, you can essentially hook into this API and read,

Ali Parandeh:

and, read the status of every lift and escalator in UK, in the country, right?

Ali Parandeh:

So if you're building like an app, like a city mapper

Vit Muller:

yeah

Ali Parandeh:

So these are essentially some of the projects

Ali Parandeh:

I worked on in the AI space.

Ali Parandeh:

I left after a couple of years working there.

Ali Parandeh:

I've started working for an AI data science consultancy in London called

Ali Parandeh:

Applied Data Science Partners, and they specialised in language models.

Ali Parandeh:

So they specialise in AI, modeling and also language models, and they dev-- and

Ali Parandeh:

they essentially supplied a lot of, They essentially developed a lot of solutions

Ali Parandeh:

and products for variety of different markets, not necessarily engineering,

Ali Parandeh:

retail, education, finance, cybersecurity.

Ali Parandeh:

And that's also where I worked with European Space Agency and, some of

Ali Parandeh:

the other bigger clients like retail clients, the finance clients and so on.

Ali Parandeh:

so with them, like we developed AI sol-- AI chatbots for schools, where

Ali Parandeh:

students can use AI chatbot to, to ask questions about their, school information.

Ali Parandeh:

They had like-- We built lots of different AI agents for schools and for various

Ali Parandeh:

different enterprises, to do variety of different tasks from filling forms

Ali Parandeh:

to talking to databases, and this was like early-- in the early times of MCP.

Ali Parandeh:

So MCP wasn't there before, so we were building some of these connectors by hand.

Ali Parandeh:

Um, and then, left after that, left there and started my own AI consultancy

Ali Parandeh:

and training, focusing mostly on engineering markets, so rail, oil and gas,

Ali Parandeh:

construction, automotive manufacturing.

Ali Parandeh:

So a lot of the work I've been doing around is essentially, upscaling some of

Ali Parandeh:

the engineers to help them come up with a identify use cases where AI-- they think

Ali Parandeh:

AI is useful because they have access to datasets that most of the public don't.

Ali Parandeh:

So they know how these datasets can be made into AI systems and, essentially

Ali Parandeh:

helping them identify these use cases and helping them building them some of

Ali Parandeh:

these use cases into AI solutions that actually meet infrastructure, challenges.

Ali Parandeh:

So like engineering challenges like in manufacturing and

Ali Parandeh:

infrastructure, rail and so on.

Ali Parandeh:

So I think these are the areas where I don't see a lot of SaaS companies like

Ali Parandeh:

Target, where most SaaS companies might go after business or enterprise or retail,

Ali Parandeh:

whereas engineering is like a ripe market I think, where there's a lot of use cases,

Ali Parandeh:

but there aren't many software solutions.

Vit Muller:

That's interesting.

Vit Muller:

Okay, so I think this is a good segue into Defining use case, defining a

Vit Muller:

problem and coming up with solutions.

Vit Muller:

I like to use a thing, called double diamond.

Vit Muller:

I'm sure you've heard of it, a double diamond.

Vit Muller:

but I'd be curious to know from your… Like how do, like when

Vit Muller:

you-- Let's go with an example.

Vit Muller:

Let's say for that, European Aerospace Agency, you've done s- I

Vit Muller:

don't know if you can talk about it, but, if not, then we can talk about

Vit Muller:

another use case, another, example.

Vit Muller:

But when you work there, obviously, the client have approached you guys

Vit Muller:

for a particular, problem, but how would you then define a solution?

Vit Muller:

Like what goes into the process?

Vit Muller:

'Cause I'm t- I'm thinking this could be relevant to the listeners

Vit Muller:

and then bringing it-- Just getting an idea so that when we are working

Vit Muller:

with small businesses… I'm trying to… Let me explain another way.

Vit Muller:

So there are obvious solutions that we do using HighLevel for businesses,

Vit Muller:

and they're very commercially viable and scalable, but that only

Vit Muller:

solves a particular problem that businesses, and most common problem

Vit Muller:

that businesses come to you for.

Vit Muller:

"Hey, we need more leads," or, "We need a way to convert more leads."

Vit Muller:

But I like to look at the whole thing, right?

Vit Muller:

'Cause business is not just about, sales and acquiring customers.

Vit Muller:

Ultimately, business should also be about profitability, there are other, areas of

Vit Muller:

business that impact profitability, right?

Vit Muller:

It's not just sales.

Vit Muller:

It's the operations.

Vit Muller:

It's, So there's a lot of other use cases that I'm not seeing in the

Vit Muller:

HighLevel space people talk about much, but I know they are there because I

Vit Muller:

know that I've applied some of those, solutions to, clients, whether it was

Vit Muller:

fulfillment, and breaking it down.

Vit Muller:

But there's a lot of opportunities, put it that way.

Vit Muller:

And I think it'd be really cool to get that perspective, example from you

Vit Muller:

working with those, bigger companies and what goes into that process of defining

Vit Muller:

a problem in the first place even

Ali Parandeh:

Mm-hmm.

Ali Parandeh:

Yeah, so no, that's a good question.

Ali Parandeh:

essentially the main thing is with bigger enterprises, especially larger

Ali Parandeh:

institutions and companies, it is much harder for smaller enterprises and smaller

Ali Parandeh:

companies to get contracts with them.

Ali Parandeh:

Oftentimes, what you need to have is you need to show procu-- they

Ali Parandeh:

have a procurement department, and you need to go through…

Ali Parandeh:

Sometimes you need to go through a bidding process, and as part of the bidding

Ali Parandeh:

process, they will vet for things like cyberse-security practices you follow.

Ali Parandeh:

Do you have certifications such as Cyber Essentials Plus, ISO 27001?

Ali Parandeh:

Do you have an information security management system?

Ali Parandeh:

Do you have a quality management system?

Ali Parandeh:

So these are all the essential stuff that you need to have, as a small

Ali Parandeh:

business if you need to get-- if you want to get those bigger projects.

Ali Parandeh:

And oftentimes what happens is, if you are a consultancy or an agency with

Ali Parandeh:

more experience, you can prime, you can essentially get these contracts and sub-

Ali Parandeh:

subcontract them to smaller companies.

Ali Parandeh:

But if you're a smaller company, you normally will have to subco-

Ali Parandeh:

be-become a subcontractor of a prime contractor working on these

Ali Parandeh:

tools if you wanna go there.

Ali Parandeh:

with the case of European Space Agency, they essentially knew what they wanted.

Ali Parandeh:

so they put a bid out in terms of like they wanted to see how

Ali Parandeh:

a generative AI can be used in design of satellites, basically.

Ali Parandeh:

How can generative AI be used to optimize satellite design and, be used

Ali Parandeh:

for designing satellite components?

Ali Parandeh:

Because they had seen that NASA, for instance, had

Ali Parandeh:

already done some of this work.

Ali Parandeh:

So they got inspired or they… There was a push, commercial push from

Ali Parandeh:

competitors such as NASA, the US base, space agency, how they have done this

Ali Parandeh:

and we need to get on this as well.

Ali Parandeh:

And, this is a public case study at the moment.

Ali Parandeh:

You can essentially look it up, and this is, was something that we carried

Ali Parandeh:

out, with my previous employer.

Ali Parandeh:

but with essentially identifying new use cases for, bigger customers or big

Ali Parandeh:

enterprise or in areas you haven't… Like it's not very visible, essentially

Ali Parandeh:

what you need to do is you need to go back and instead of thinking about AI

Ali Parandeh:

and what solutions might be relevant for it, s- what problems are relevant

Ali Parandeh:

for it, you need to flip it around.

Ali Parandeh:

So a lot of people search solutions in search of a problem You know,

Ali Parandeh:

whereas instead you need to flip it around and look at all the problems

Ali Parandeh:

in the market and see which ones are interesting, and then you can then find

Ali Parandeh:

a-- And then essentially, not all the problems will have AI as a solution.

Ali Parandeh:

And just focus on the problem that has the highest impact, not

Ali Parandeh:

necessarily if it's got AI in it.

Ali Parandeh:

If anything, I-- most of the time these days, I actually promote

Ali Parandeh:

people to solve solutions without AI.

Ali Parandeh:

So solve problems without AI because it's more deterministic.

Ali Parandeh:

AI is a statistical model.

Ali Parandeh:

It's based on probabilities, and every time you put the same

Ali Parandeh:

stuff in it, it gives you s- different stuff coming out, right?

Ali Parandeh:

Ask it to write you an essay about, I don't know, business.

Ali Parandeh:

It will give you a different completely essay every time, right?

Ali Parandeh:

Like the wordings might be different

Vit Muller:

you're bringing a really good point because

Vit Muller:

also the cost comes into mind.

Vit Muller:

I've been a huge fan of building automation workflows and, inside

Vit Muller:

our, like in our HighLevel world, we have a thing called snapshots.

Vit Muller:

you open up a sub-account and you've defined a problem and you're trying

Vit Muller:

to solve it, and the solution might be that you need to build a funnel for

Vit Muller:

a lead gen, then build an automation that nurtures leads and, after you've

Vit Muller:

had enough data, you can average out the data to build results conversion.

Vit Muller:

so you need to build some automations.

Vit Muller:

you need to build some, maybe some unique custom fields for the CRM because the

Vit Muller:

business use case has a unique, data they need to capture, and all together it's

Vit Muller:

a system, and then you snapshot it, and then that gives you scale because now you

Vit Muller:

can load it into multiple sub-accounts, or you can sell it to other agencies.

Vit Muller:

so where I was going with that, just lo- lost my train of thought, but,

Ali Parandeh:

Something to do with fields, creating these fields, creating snapshots

Vit Muller:

No, yeah, I know where I was going with, this is with, because

Vit Muller:

you mentioned, defining a problem Is important, and then the solution doesn't

Vit Muller:

always have to be AI because AI is being, probabilistic, whereas other

Vit Muller:

solutions might be more deterministic.

Vit Muller:

Workf- automation workflows by design are more deterministic because you've

Vit Muller:

got a set of rules, a trigger, if this, then that, if this, then that,

Vit Muller:

and then that happens exactly, right?

Vit Muller:

so it's cheaper as well when it comes to automation workflows as opposed to AI.

Vit Muller:

and so that's an area I g- again, it's another really good discussion point I

Vit Muller:

think deserves a whole episode talking about, when to u- when to use AI or when

Vit Muller:

to use automations and when to u- b- when to use both and how you design the

Vit Muller:

solution, the right way and what ratio.

Vit Muller:

Because, if the solution is completely built on AI, that, that means every

Vit Muller:

time it's running, e- every time it's gonna incur a cost, right?

Ali Parandeh:

Yeah,

Vit Muller:

an interesting area

Ali Parandeh:

I give you an example.

Ali Parandeh:

people are creating these automations, and then they put AI in it, like

Ali Parandeh:

N8N automation, where it's got, a chatbot doing, I don't know, document

Ali Parandeh:

classification or email triaging.

Ali Parandeh:

that stuff might not necessarily need AI because you may write a simple

Ali Parandeh:

rules-based check that will classify it more deterministically for you

Ali Parandeh:

compared to using AI, because sometimes AI may return nothing as well.

Ali Parandeh:

Sometimes it may fail, the connection may drop, the latency might be too

Ali Parandeh:

high, and then the whole, automation may time out, and, sometimes

Ali Parandeh:

it may not follow your prompt.

Ali Parandeh:

The-- when you give a prompt to an AI, it doesn't need to follow it.

Ali Parandeh:

It-- There is no con- there is no legal contract for it to follow that prompt.

Vit Muller:

Interesting

Ali Parandeh:

in the AI space, we call it alignment.

Ali Parandeh:

So it depends on the model you use.

Ali Parandeh:

Some models have better alignments than the others, but you can't trust

Ali Parandeh:

a prompt to follow that prompt all the time, depending on the inputs as well.

Ali Parandeh:

I can send you an email, put prompt injection in that email,

Ali Parandeh:

and then essentially get your whole automation go haywire.

Ali Parandeh:

I can basically put in my email in white text, "Ignore all previous

Ali Parandeh:

instructions. hi, Vit. How you doing?" Blah, blah, blah, blah.

Ali Parandeh:

And I can literally haywire your automation because you're feeding

Ali Parandeh:

the entire my-- entirety of my email to your system, and the AI

Ali Parandeh:

is reading that and then thinking that it needs to do something with,

Ali Parandeh:

with the instructions I give it

Vit Muller:

Right.

Vit Muller:

So this is, okay, so this is a topic of how hackers are now getting savvy

Vit Muller:

and they're injecting prompts and

Vit Muller:

think that's a whole

Ali Parandeh:

it's touching security as a, as another, opener as, like

Ali Parandeh:

a subtopic as well, but it's both inconsistencies but also security

Ali Parandeh:

as an issue when you put AI in it.

Ali Parandeh:

Whereas if you just put some kind of, simple checks that would just

Ali Parandeh:

check for things inside the email that would then help you to classify

Ali Parandeh:

it, this always runs the same way.

Ali Parandeh:

and it always buckets it really well.

Ali Parandeh:

You don't necessarily need AI in that.

Ali Parandeh:

if it's a very complicated logic, let's say you need to check bunch of

Ali Parandeh:

other databases and then look at-- do a, do five different lookups and

Ali Parandeh:

then check some logic in order to then classify an email, then yes,

Ali Parandeh:

that, that makes a sense to use AI.

Ali Parandeh:

But if it's just like a simple check, I don't know, labeling an

Ali Parandeh:

email, is it promotional or not?

Ali Parandeh:

Like that stuff may not necessarily need AI

Vit Muller:

Yeah.

Vit Muller:

So going back to defining a problem, the problem statement, it was a really

Vit Muller:

good validation what you were saying, because going back to what I was saying,

Vit Muller:

we use a thing called double diamond.

Ali Parandeh:

Yeah

Vit Muller:

that's not thing that I've come up with.

Vit Muller:

It's a thing from UK Design Council, right?

Vit Muller:

so for those of you guys listening, just picture two diamonds as a shapes.

Vit Muller:

And the first one is all about, defining the problem statement.

Vit Muller:

So how is this relevant to what you guys do?

Vit Muller:

So you get a new client, or let's say you're starting out fresh, you

Vit Muller:

just sign up for HighLevel, and you're just trying to score your

Vit Muller:

very first, client, and you got no reputation, you got nothing to show for.

Vit Muller:

there's an approach that works really well.

Vit Muller:

It's called a student approach, where you literally just go around

Vit Muller:

businesses and, speak to the business owner and try pick their brain.

Vit Muller:

Try and offer them… Buy them a coffee or buy them a lunch, just

Vit Muller:

so that you've got the opportunity to sit down with them for an hour.

Vit Muller:

If you can do that, then that hour, should be all about trying to

Vit Muller:

understand their business and all the different problems that they run

Vit Muller:

into when it comes to day-to-day.

Vit Muller:

At the end of the day, they all wanna be more profitable, right?

Vit Muller:

So talk to them about "What are different things that impact

Vit Muller:

profitability in your business, Mr.

Vit Muller:

Baker?" Let's say you go to a local bakery, 'cause why not?

Vit Muller:

And there's always, you don't know what you don't know.

Vit Muller:

What is the… it's the, this thing called like the five

Vit Muller:

levels of, Forgot the name of it.

Vit Muller:

you know what you know is the ultimate, but initially it's

Vit Muller:

like you don't know what you

Ali Parandeh:

talking about Joe Harris window, like you know what you know,

Ali Parandeh:

you don't know what you don't know.

Vit Muller:

Yeah.

Vit Muller:

So like you don't know what you don't know, then you know what you don't

Vit Muller:

know, then you know what you know,

Ali Parandeh:

Nah, you don't know what you don't know

Vit Muller:

then you don't know what you know because… Yeah.

Vit Muller:

But like it's, the co- it's a c- it's something to do with confidence.

Vit Muller:

it's a f- framework, right?

Vit Muller:

Anyway, I don't want to detour too much.

Vit Muller:

But so going, talking back to you guys, listening.

Vit Muller:

you're speaking to this baker and you just want to pick their brain, talk

Vit Muller:

to them about their business, and just be inquisitive, be genuinely curious.

Vit Muller:

Make sure they know that you're genuinely curious because you're starting out

Vit Muller:

something new and you just want to learn, and you want to have an opportunity to

Vit Muller:

see how you could provide value to them.

Vit Muller:

And so what you need to be focusing on is, yes, you've just signed up for

Vit Muller:

HighLevel and in your head, you know all the different features and functionalities

Vit Muller:

and they're exciting, but that's solution.

Vit Muller:

Try and forget about that and just focus on that conversation with that

Vit Muller:

business owner and just focus on all the different problems that they're stating.

Vit Muller:

and going back to double diamond, that first diamond is all about figuring

Vit Muller:

out the core problem statement.

Vit Muller:

So each diamond is actually split in two halves.

Vit Muller:

The first half is just, open wide.

Vit Muller:

There's no limits.

Vit Muller:

It's just aggregating as much information as possible.

Vit Muller:

All the different problems that they're telling you, document all of it.

Vit Muller:

in a hardcore way, it's about talking to not just that one business owner,

Vit Muller:

but maybe talking to their staff, talking to their customers, doing a

Vit Muller:

research in that industry, talking to other bakers, and you just end up with

Vit Muller:

massive amount of information and it's all about different problem statements.

Vit Muller:

And then you start to, create a commonal- like you start, you look at it and then

Vit Muller:

what you want to end up with, because it's marked commercially viable thing, is you

Vit Muller:

look at which one of those problem is the most common across all of those bakers

Vit Muller:

that I've just met, and which one of those problem is the most common across all of

Vit Muller:

their staff or all of their customers.

Vit Muller:

And that might give you three core problems that are related to that business

Vit Muller:

And if there's a lot of overlap, then that's a problem worth solving because

Vit Muller:

if you come up with a solution, then you can s- you got something you can go

Vit Muller:

to market and it's been proven, right?

Vit Muller:

So that's where the second diamond comes in.

Vit Muller:

The second diamond is all about figuring out what the most leanest,

Vit Muller:

most effective, most scalable, most eff- most impactful solution could be.

Vit Muller:

But again, to get to that core solution, which is gonna be just like

Vit Muller:

one thing, you're gonna be prototyping so that again, so going into that

Vit Muller:

first half of the second diamond, it's all about open wide, no limits.

Vit Muller:

You're brainstorming, you're talking to, you're coming up with some ideas.

Vit Muller:

you're talking to those business owners again, getting feedback.

Vit Muller:

There's a lot of feedback loop involved.

Vit Muller:

And then that culminates into, again, seeing what the most effective solution

Vit Muller:

would be, and then that's what you come up with, and then you go to market.

Vit Muller:

Am I saying that right?

Ali Parandeh:

Yeah.

Ali Parandeh:

Yeah, exactly.

Ali Parandeh:

I think double diamond from what I understand is you expand the problem,

Ali Parandeh:

then you condense it down into a single point that then you can then

Ali Parandeh:

use to expand the solution ideas, and then you then condense it down into a

Ali Parandeh:

single valid solution for that problem.

Ali Parandeh:

is that what I understood correctly?

Vit Muller:

Exactly.

Ali Parandeh:

Yeah, that's a really good framework.

Ali Parandeh:

Yeah, I like it.

Vit Muller:

I like it, yeah

Ali Parandeh:

one idea I can give you is you can create yourself a cloud

Ali Parandeh:

skill to follow this framework for you.

Ali Parandeh:

So create a skill that would then expand the-- like you just give it a topic

Ali Parandeh:

it, that helps you ask your questions to expand the problem and then downs--

Ali Parandeh:

condense it down into an item, and then once that gate it passes, it then

Ali Parandeh:

can help you expand solutions and then condense it down into a single item.

Ali Parandeh:

So like some kind of brainstorming skill.

Ali Parandeh:

You can create these type of things as well for yourself with AI skills

Vit Muller:

Hey, by the way, you know what I found about this framework?

Vit Muller:

It's a brilliant way to position… If you tr- if you're trying to sell a custom

Vit Muller:

build to a business and charge a lot of money for it This process allows you

Vit Muller:

to do that because you're essentially talking to a client and you're not just

Vit Muller:

going straight up, "Okay, it's gonna be this much." you're going through a

Vit Muller:

process with them, so they are part of it.

Vit Muller:

They can see how much thought go, thoughts goes into it.

Vit Muller:

And then in the end, you… Say, put an example, the way I do it is I use ClickUp.

Vit Muller:

In ClickUp you've got a whiteboard, so you can create like mind maps and you

Vit Muller:

can do like design systems visually.

Vit Muller:

So I would use the double diamond where I would be talking to customers,

Vit Muller:

all that stuff that we talked about.

Vit Muller:

But then when I would- when it came to prototyping the ideal solution, I

Vit Muller:

would actually map out visually, what would, sales pipeline look like a custom

Vit Muller:

opportunity stages inside HighLevel, what would they look like based on what

Vit Muller:

they told me that their buyer journey is and then their fulfillment processes.

Vit Muller:

And then I would start mapping out everything else, custom fields,

Vit Muller:

custom values, different workflows and automations, just overview, but

Vit Muller:

all visually designed in a whiteboard.

Vit Muller:

Then I would have another session with a client.

Vit Muller:

I would show them, what I've come up with as a prototype.

Vit Muller:

They would look at it, they would tell me yay or nay, give me some more feedback.

Vit Muller:

I would reiterate, and then at the end, I would have something

Vit Muller:

that is very well defined.

Vit Muller:

I can run AI against it, just grab a screenshot, run it through AI and

Vit Muller:

say, "Hey, how much do you reckon it would be, in, in, in labor

Vit Muller:

to build it in their HighLevel account?" That gives you an estimate.

Vit Muller:

Then you f- you know, you, you multiply it by an hourly rate that you pay yourself

Vit Muller:

or you pay to a staff member, with obviously you should always have a markup

Vit Muller:

because it's a business, and then that gives you the figure, and you go back

Vit Muller:

to the client and you say, this is gonna be $20,000 to build what we've done."

Vit Muller:

And the client now has a context, which is important, because they are not al-

Vit Muller:

they're no longer looking at a figure.

Vit Muller:

They're looking at the whiteboard.

Vit Muller:

They see the complexity, they see the design that, by the way, they've

Vit Muller:

gone through that process with you when it was being designed,

Vit Muller:

so they, they were part of it.

Vit Muller:

So it's not like you've come up with something.

Vit Muller:

And yeah, I've just found that a really cool way to sell high ticket.

Vit Muller:

Obviously you might, let's say it's 20K, you'd still 5K now

Vit Muller:

and 5K middle, 10K at the end.

Vit Muller:

You break it down, but nevertheless, that's how you,

Vit Muller:

that's how I, that's how I do it.

Vit Muller:

That's how I sell higher ticket, bills for HighLevel.

Vit Muller:

But it's all based on starting with a conversation, the double diamond.

Vit Muller:

And I even tell my clients like we use this principle of double diamond

Vit Muller:

because we wanna make sure that we come up with something that's

Vit Muller:

gonna be very effective for you.

Vit Muller:

this process might take us a week or two or three.

Vit Muller:

I also tell them it's like there's a maturity to it, maturity to a decision.

Vit Muller:

What I found is a sequence of an hour to two-hour-long meetings once a week,

Vit Muller:

and in between those meetings, we, we get closer to the final design.

Vit Muller:

by letting it mature over a week, by the time we get to the second meeting,

Vit Muller:

they've had a time to think about it.

Vit Muller:

I've had a time to think about it.

Vit Muller:

We're looking at it again.

Vit Muller:

And yeah, it's Just sharing it because,

Ali Parandeh:

it's-- No, it's good.

Ali Parandeh:

This is, this is… So what I do similar is I normally run a discovery session.

Ali Parandeh:

So normally I do a four-step process, with customers.

Ali Parandeh:

So one is, some of the times you can sit down and help them through

Ali Parandeh:

the problems, but some of the times they don't know anything about AI.

Ali Parandeh:

So you need to first bring them up to speed with the tech and what is

Ali Parandeh:

possible, what is not possible, so they have the literacy to be able

Ali Parandeh:

to talk with pro-- about problems.

Ali Parandeh:

And then the second step where you do the discovery is exactly that,

Ali Parandeh:

like talking with everyone within the team and within their teams.

Ali Parandeh:

so some of them are, have bigger teams, so you need to talk to everyone and

Ali Parandeh:

capturing all the information and essentially doing the double diamond

Ali Parandeh:

here, where you're expanding and figuring out all the problems and all

Ali Parandeh:

the possible use cases that there is.

Ali Parandeh:

And then essentially then using a framework, so you need to have some

Ali Parandeh:

kind of way to then prioritize.

Ali Parandeh:

So you need some kind of framework to then bring it back down into

Ali Parandeh:

a handful of ideas and use cases.

Ali Parandeh:

and then just presenting them, getting paid to them, creating this report to

Ali Parandeh:

then present to them as a discovery.

Ali Parandeh:

Like this is basically what are the top, what are-- these are the top

Ali Parandeh:

problems of your business or your teams.

Ali Parandeh:

Here are top 10 solutions mapped to these problems.

Ali Parandeh:

Maybe not all the solutions are AI, but like probably all of

Ali Parandeh:

them are automation related.

Ali Parandeh:

And here is a sequence we recommend you to go through these solutions, building them,

Ali Parandeh:

and here's a quote for building them.

Ali Parandeh:

And then you can then use basically those, what's it called?

Ali Parandeh:

You can then essentially, take each solution with AI, figure out how much

Ali Parandeh:

effort it is to build, calculate the, calculate your hourly rate, put a markup

Ali Parandeh:

on top, and essentially create a big quote, like a single quote with that

Ali Parandeh:

could be worth 100K, 200K because it's got five, six different projects baked in.

Vit Muller:

Yeah, you're talking different figures now here.

Vit Muller:

Enterprise, right?

Ali Parandeh:

So with enterprise, you can sell big, but also you gotta--

Ali Parandeh:

you need, you need smaller high-- This is like super high ticket, but you

Ali Parandeh:

need smaller high tickets in order to, feed the business because those

Ali Parandeh:

bigger tickets will take months.

Ali Parandeh:

So with enterprise, the sa- the sales cycles, you're looking at like

Ali Parandeh:

quarters in terms of like sales cycles.

Ali Parandeh:

Because with bigger ticket items, they need to go and pitch it to

Ali Parandeh:

the s- leader-leadership team.

Ali Parandeh:

They need to have buy-in, then they need to put budget in place, then the

Ali Parandeh:

procurement needs to get involved, then the procurement needs to approve it,

Ali Parandeh:

then you need to get a purchase order.

Ali Parandeh:

Then you can start the process, and then you also need to have upfront payments

Ali Parandeh:

in place so that you can get fed.

Ali Parandeh:

your business can get fed whilst you are delivering.

Ali Parandeh:

so the enterprise game for consulting is like basically like this.

Ali Parandeh:

Either you are, you're bidding for projects, which is easier because

Ali Parandeh:

they already have the problems, you just have to provide a solution.

Ali Parandeh:

But for smaller companies that are not big enterprise, but they're

Ali Parandeh:

still big enough, like I would say mid-sized enterprise, yeah.

Ali Parandeh:

For mid-size enterprise, you need to essentially bring them on board

Ali Parandeh:

through education-based selling, get the discovery in place and figure out

Ali Parandeh:

the problems and map it to solutions, and then essentially quantify how

Ali Parandeh:

each solution solves a problem.

Ali Parandeh:

So it's either ti- saving them cost or giving them higher margins or, I

Ali Parandeh:

don't know, essentially changes brand perception depending on like how you

Ali Parandeh:

can quantify the return on investment.

Vit Muller:

Yeah.

Ali Parandeh:

And you can build prototypes.

Ali Parandeh:

Yeah, and these days you can build prototypes really quickly with cloud code.

Ali Parandeh:

So if you need to show that, "Look, you used to do this in two weeks. Here

Ali Parandeh:

is a simple HTML app that can do it in a, in an hour." Or not in an hour.

Ali Parandeh:

You just drag and drop your file into it, and it gives you something coming out.

Ali Parandeh:

just in order to build it properly, secure, safe, we need 20K

Vit Muller:

And it's, when you start talking those figures, you might not be

Vit Muller:

used to them, but like in those type of size clients, it's completely normal.

Vit Muller:

It's actually be really weird if you, if you were like underquoted

Vit Muller:

to an enterprise client.

Vit Muller:

They might even look at it as, "Yeah, we're probably not gonna go with you

Vit Muller:

because that sounds like too cheap.

Ali Parandeh:

Yeah.

Vit Muller:

quality," right?

Ali Parandeh:

One, one is that.

Ali Parandeh:

The other one is you need to have a staircase.

Ali Parandeh:

So you need to have a staircase of products.

Ali Parandeh:

So you can't go and sell them 200K if they don't know you yet.

Ali Parandeh:

So you need to sell them something low ticket to gradually increase the

Ali Parandeh:

build, the trust, and then upsell the higher ticket, upsell the higher ticket.

Ali Parandeh:

Basically, th- this is a standard model as well we run with lower

Vit Muller:

Yeah.

Vit Muller:

It's it's we call that foot in the door offers,

Ali Parandeh:

Put it in their offers.

Ali Parandeh:

Yeah.

Ali Parandeh:

So your, you may start with day rates.

Ali Parandeh:

You may start with okay, we just charge, I don't know, this much for two days of

Ali Parandeh:

work, or one week of work, and to them it's like case, I don't know, 5K, 10K.

Ali Parandeh:

Well then, you then figure out their problems because you've

Ali Parandeh:

been in their teams and no one else knows their problems.

Ali Parandeh:

You know it because you've been in, you've kicked the door.

Ali Parandeh:

And then you can then, with that knowledge, you can give them

Ali Parandeh:

proposals that are hard to say no to.

Ali Parandeh:

You just need to make sure the deal and the offer you give them, is

Ali Parandeh:

valued really good and is fixed price.

Ali Parandeh:

It gives you the margin, but to them it's I don't know, 90% cheaper for

Ali Parandeh:

them to do it manually than to give you that money to build it for them

Vit Muller:

and you build trust, the walls goes down, more opportunities open

Vit Muller:

up, and it's way easier to talk to them.

Vit Muller:

It's nowhere, no different to a dating game, actually.

Vit Muller:

You want to impress somebody first, build trust, then you get a second date.

Vit Muller:

Maybe there's a bigger project co-coming up and, and so on and so forth.

Vit Muller:

So this is great.

Vit Muller:

And guys, I wanted to-- there was a few th-follow-ups, that I was

Vit Muller:

gonna, I was gonna, while you were talking that, that came to my mind.

Vit Muller:

So one, that double diamond process and, the high-ticket thing, do

Vit Muller:

not use it if you're planning to sell something off the shelf.

Vit Muller:

if you just wanna sell subscription to HighLevel and sell them reputation

Vit Muller:

management or something that's already been proven to work and it's a solution

Vit Muller:

that kind of works in general for most, let's say, brick-and-mortar businesses

Vit Muller:

who have Google Business listings.

Vit Muller:

That process will actually kill conversion in-- if it's a small client

Vit Muller:

and you're trying to sell something for a couple of hundred bucks a

Vit Muller:

month, that will kill conversion.

Vit Muller:

In that case, you wanna sell something that's, highly productized at scale.

Vit Muller:

So make sure that you f- you know, think about the use case and when

Vit Muller:

to apply some of these strategies that, that we talk on the podcast

Vit Muller:

because, I've done that mistake myself.

Vit Muller:

I've, I can even share, one day I've got these 20-page Canva, beautiful Canva,

Vit Muller:

proposals with visuals, with everything.

Vit Muller:

it's incredible I spend half day on them to put them together all for nothing,

Vit Muller:

And then another time it was just like having a quick call, speaking to somebody.

Vit Muller:

Whilst on a call, vibe coded a new website because they didn't have a website.

Vit Muller:

They were super impressed.

Vit Muller:

They sign up on the spot before another call, So it's important to,

Vit Muller:

to think about the audience, the target market you're talking to.

Vit Muller:

If they're a really small micro business, they don't even have time.

Vit Muller:

They, they, they need something now.

Vit Muller:

so yeah, it's just important distinction on that I guess I wanted to highlight

Ali Parandeh:

that's a good point.

Ali Parandeh:

Yeah, if you-- if it's a pro-productized offer and a software, you just basically

Ali Parandeh:

need to map it to their problem.

Vit Muller:

And quick, quicker this,

Ali Parandeh:

quick mapping.

Ali Parandeh:

Yeah, it doesn't need a sophisticated bespoke proposal.

Ali Parandeh:

But if you, yeah, if you're doing something higher ticket or you're

Ali Parandeh:

asking-- you're gonna be asking for a lot of cash up front, then you need

Ali Parandeh:

to give them more, trust and, like information basically, how it can…

Ali Parandeh:

Essentially you need to do more of the upfront work of selling it

Vit Muller:

Yeah.

Vit Muller:

And expect longer sales cycle too.

Vit Muller:

there's whole science in it.

Vit Muller:

Like I'm always, I always think about it like what would be the most ideal funnel

Vit Muller:

where you've got a foot-in-the-door… And by the way, when, the way I like

Vit Muller:

to think about foot-in-the-door offers, they are not all offers to make money

Vit Muller:

for a actual like transaction in money.

Vit Muller:

Sometimes the foot-in-the-door offer is purely for the transaction of

Vit Muller:

getting them to opt in for something, so now you've got their email address.

Vit Muller:

That's a win.

Vit Muller:

'Cause like before somebody gives you money, like you need to, if you can build

Vit Muller:

like the most frictionless, ascending ladder, like then you've got a, you've

Vit Muller:

got a pretty awesome business where you've got such an irresistible offer,

Vit Muller:

people don't pay you with money, but they pay you with their co- their data.

Vit Muller:

They give you their contact details.

Vit Muller:

The next offer right after that might be something really cheap, 50 bucks a

Vit Muller:

month or something, small little product.

Vit Muller:

I mean, think about HighLevel, how many different feature sets there it has,

Vit Muller:

and they actually announced now you can have up to 20 different SaaS, plans.

Vit Muller:

So it was limited to less, and actually 99 SaaS plans you can now create.

Vit Muller:

So I've got say, my plan is you pay and you get access to everything.

Vit Muller:

But I could go and just do that one feature out of 100 features,

Vit Muller:

just sell omni-channel inbox price that like, you know, at very

Vit Muller:

affordable rate and have that as a…

Vit Muller:

I mean, this is, if you look at HubSpot, for example, like this is

Vit Muller:

their strategy pretty much, right?

Ali Parandeh:

I think HubSpot created also the inbound marketing strategy as well.

Ali Parandeh:

The entire marketing around using content.

Ali Parandeh:

they

Vit Muller:

They've got really good…

Ali Parandeh:

teams.

Ali Parandeh:

Yeah

Vit Muller:

I remember one of their lead magnets was originally one

Vit Muller:

of my tools in my toolbox, and it was for creating email signatures.

Vit Muller:

And it was just a free lead magnet that you have to give them an email to, to get

Vit Muller:

the code, but then you had a beautiful email signature that you could just use.

Vit Muller:

So yeah, that's a, that's my type of like favorite, type of marketing is

Vit Muller:

inbound, is getting people to come to me because the quality of, or the

Vit Muller:

value that, that's being provided through the content marketing.

Vit Muller:

I'm a big fan of that.

Vit Muller:

I'm not as much fan of outbound, but you kind of have to do both if you

Vit Muller:

wanna really, make it work long term.

Vit Muller:

But,

Ali Parandeh:

yeah, I'm thinking if you're st- if you're early in the journey, you

Ali Parandeh:

gotta do more outbound, unfortunately.

Ali Parandeh:

So that means you gotta go on Sales Navigator and send

Ali Parandeh:

emails and just do sales.

Ali Parandeh:

But as your pr- as your offers are becoming more mature and they become more

Ali Parandeh:

established and there is a demand for it, you can then start doing more inbound.

Ali Parandeh:

and I think going forward, the inbound PDFs are kinda starting to die down in

Ali Parandeh:

terms of like how, effective they are as a

Vit Muller:

get an ebook for your

Ali Parandeh:

Yeah,

Vit Muller:

here

Ali Parandeh:

ev- like people might download them, but they're like,

Ali Parandeh:

they're just gonna drop them into a folder and forget about them.

Ali Parandeh:

Whereas I think going forward, it's more about personalized, personalized lead

Ali Parandeh:

magnets that's gonna be really sticky.

Ali Parandeh:

So think about cloud skills that you can provide based on your framework.

Ali Parandeh:

Think about if you can build them a tool, you were saying about the

Ali Parandeh:

email signature hotspot created, and then you give them an email for that.

Ali Parandeh:

So if you can build these tools on your website based on your frameworks,

Ali Parandeh:

like diagnostic quizzes and checklists, that personalize based on the answers

Ali Parandeh:

they give, and then you blur their results until they give the email.

Ali Parandeh:

Or you give them like a high-level result and then the details they need to

Ali Parandeh:

give an email to get a detailed report.

Ali Parandeh:

So one of the things I've done with my website is like basically an assessment

Ali Parandeh:

where, for companies who wanna see like how good they are in terms of like

Ali Parandeh:

their, maturity in terms of AI, like whether they've got policies in place,

Ali Parandeh:

are they safe and things like that.

Ali Parandeh:

They go and answer 20 questions and they get a really like detailed report sent to

Ali Parandeh:

them around vision, around data readiness and around, capability of their team.

Vit Muller:

So there's one thing that we discussed before we jump on, to hit record

Vit Muller:

on this, is to provide you guys listening with a bit of a, a bit of an offer.

Vit Muller:

Is this what we've talked about?

Vit Muller:

Did you wanna

Ali Parandeh:

Yeah, I can show them,

Vit Muller:

Yeah.

Vit Muller:

Do you wanna share a screen and the assessment?

Vit Muller:

'Cause I think that I looked at it briefly and I think it makes a lot of sense.

Vit Muller:

A-a-and from my understanding, from the quick look over when I looked

Vit Muller:

at it, it was, it covers areas of security, trust, and all those things

Vit Muller:

that are going to be more important to businesses as well, right?

Vit Muller:

Brilliant.

Ali Parandeh:

Let me see if you can see my screen

Vit Muller:

Yes, that's it

Ali Parandeh:

Perfect.

Ali Parandeh:

basically I've got, So this is my website.

Ali Parandeh:

On my website, one of the actions you can take beyond booking consultation

Ali Parandeh:

is go and do this assessment.

Ali Parandeh:

basically it's for, both consultancies and enterprises who are

Ali Parandeh:

interested to start using more AI.

Ali Parandeh:

And the way I've, set up this assessment is that it goes across

Ali Parandeh:

four different areas and checks,

Vit Muller:

There's just one thing that's just, overlay, a little

Vit Muller:

window overlaying your website.

Vit Muller:

If you just move it off to the side a little bit.

Vit Muller:

It's just a little riverside… Yeah, that little riverside window.

Vit Muller:

Yeah, that thing.

Vit Muller:

Yeah, that thing.

Vit Muller:

If you just move it

Ali Parandeh:

Ah, okay.

Ali Parandeh:

I see.

Ali Parandeh:

Let me close it.

Ali Parandeh:

There you go.

Vit Muller:

All right,

Ali Parandeh:

Is it better?

Ali Parandeh:

Yeah.

Ali Parandeh:

That's perfect.

Ali Parandeh:

So yeah, like essentially, this is for, companies to wanna get some results

Ali Parandeh:

around what they think, what we need to do additionally in terms of making

Ali Parandeh:

sure that you're reducing your risk when it comes to implementing AI.

Ali Parandeh:

So if you're a CEO, head of a company, someone like, responsible for getting

Ali Parandeh:

more AI adopted in the company, it asks you a bunch of questions to

Ali Parandeh:

understand where you are in terms of your strategy vision, governance, data

Ali Parandeh:

controls, if you've got policies in place, how good your data is in this.

Ali Parandeh:

It like, do you have a good data readiness if you wanna im-implement

Ali Parandeh:

digital brains where AI systems are connected to various sources?

Ali Parandeh:

And then how, literate your, AI, your team is when it comes to AI tools.

Ali Parandeh:

do they understand how to use it safely?

Ali Parandeh:

Are they gonna be putting correct info into the right places, and so on.

Ali Parandeh:

So when you finish it, essentially what it gives you is like a

Ali Parandeh:

report that looks like this.

Ali Parandeh:

So it gives you like scores, based on your strategy, governance,

Ali Parandeh:

your data and your team.

Ali Parandeh:

And this is like takes, I don't know, two minutes to complete.

Ali Parandeh:

So it's fair, 20 questions.

Ali Parandeh:

and those questions are detailed enough to give you different options

Ali Parandeh:

in terms of which one is there.

Ali Parandeh:

it gives you the results without you having to put your, full details in.

Ali Parandeh:

But if you want the full details like that, like full, like detailed, like

Ali Parandeh:

elements of each key risk and key recommended action and an overall

Ali Parandeh:

summary for the top priority steps, you need to put your details in and then

Ali Parandeh:

AI will send you the report in email

Vit Muller:

This is brilliant.

Ali Parandeh:

And, you get a free bonus as well at the end.

Ali Parandeh:

So if you need to get… Normally if you did a good lead magnets,

Ali Parandeh:

put a free bonus as well.

Ali Parandeh:

So here you would get a report based on like sources like HBR, Harvard

Ali Parandeh:

Business Review, and bunch of other sources why, AI might st- AI pilots

Ali Parandeh:

fail and might stall in companies

Vit Muller:

Yeah, I liked it.

Vit Muller:

And what I like about the, this page that you've built is how it's

Vit Muller:

really focused on your target market

Ali Parandeh:

Yeah.

Ali Parandeh:

Yeah, and

Vit Muller:

organizations and

Ali Parandeh:

the beautiful thing is you can build these,

Ali Parandeh:

there are software out there.

Ali Parandeh:

They're like, there is a software called ScoreApp that you can use to

Ali Parandeh:

build quizzes, but you need to then pay them 30 pounds, 40 pounds a month.

Ali Parandeh:

This I built using Cloud code

Vit Muller:

So here's something you're gonna laugh.

Vit Muller:

I know about ScoreUp, and when I was trying to build a lead magnet, it

Vit Muller:

was about actually four years ago.

Vit Muller:

If you open up another browser tab on your website there and

Vit Muller:

go to standoutfromthepack.com.au

Vit Muller:

. Ali Parandeh: eu

Vit Muller:

. Vit Muller: com.au, sorry.

Vit Muller:

Yeah, you got it.

Vit Muller:

there is, up the, in the menu, get fr- get free audit

Ali Parandeh:

Well, I like it

Vit Muller:

Right there.

Vit Muller:

So now what I wa- what I was g- I was gonna comment on your

Vit Muller:

page that you were showing.

Vit Muller:

What I like about what your page does, it has visuals of what

Vit Muller:

the actual report looks like.

Vit Muller:

Mine does touch it, touch on that a little bit, but I think, that's--

Vit Muller:

it's like something that's like tangible, like this is what you get.

Vit Muller:

I think that's a really good one.

Vit Muller:

But basically what I've done there is it's a survey with 20

Vit Muller:

rapid fire yes/no questions,

Ali Parandeh:

Yeah

Vit Muller:

completed building inside HighLevel.

Vit Muller:

one question that's open-ended, most of them are yes/no, and then there's another

Vit Muller:

question with just a selector of different software tools that the company has used.

Vit Muller:

And then at the end they just fill their details, and then that's how

Vit Muller:

they submit and they get results.

Vit Muller:

they're taken to a thank you page which just says, "Cool. Your actual

Vit Muller:

results will be sent through in an email. but in the meantime, like book a

Vit Muller:

call, so we can go through, go through it with you over th- on the call."

Vit Muller:

Now what I've done is I've built an automation in the back end that uses AI.

Vit Muller:

I've basically injected into the prompt all the different, quest- answers

Vit Muller:

from all the different questions for AI to analyze, how they answered.

Vit Muller:

And this particular one gives you… You've got categories, so my one's

Vit Muller:

got categories too, as, lead gen, marketing, sales, and I think that's it.

Vit Muller:

So three categories, and you get like an overall score.

Vit Muller:

Each category is a combination of e-eight questions, s- and then you

Vit Muller:

also get like an overall score as well.

Vit Muller:

yeah.

Vit Muller:

It's just, interesting 'cause when you were talking about ScoreUp,

Vit Muller:

this is exactly why I built it.

Vit Muller:

It's like I'm a big nerd, I like the challenge.

Vit Muller:

It's like I could u- I could sign up for ScoreUp, but you know what?

Vit Muller:

let me push this thing.

Vit Muller:

Let me push this thing called HighLevel.

Vit Muller:

How much can I, how much can I do with this?

Vit Muller:

And, And yeah, so that's…

Ali Parandeh:

Yeah, this is pretty good

Vit Muller:

Yeah, the UI could be better.

Vit Muller:

I mean, there's always improvements, but, you just put your details

Vit Muller:

in there and then it sends you…

Vit Muller:

You can do that later if you wanna have a look at it actually.

Vit Muller:

it takes

Ali Parandeh:

do it properly because I just answered a bunch of randomly.

Vit Muller:

yeah.

Ali Parandeh:

wanna actually get the proper results.

Vit Muller:

Yeah.

Vit Muller:

But back to this one.

Vit Muller:

So this is great.

Vit Muller:

you know what?

Vit Muller:

When I looked at it as well, what made me think right away is

Vit Muller:

enterprise and mid-sized enterprise.

Vit Muller:

Like we don't go after those clients.

Vit Muller:

Most of us HighLevelers, we go after, trade businesses, home

Vit Muller:

services, gyms and, things like that.

Vit Muller:

But I'm, I am very interested in enterprise clients as well, like maybe

Vit Muller:

not top enterprise, but like middle.

Vit Muller:

and there's one thing that's really exciting that's brewing.

Vit Muller:

I spoke to the owners of HighLevel a couple times when I was at the

Vit Muller:

Level Up Summit in Dallas, and I said to them, "Hey s- there's certain

Vit Muller:

requirements by certain countries.

Vit Muller:

Like for example, when I was living in Australia, I was living in Canberra.

Vit Muller:

Canberra is very, um, public workers.

Vit Muller:

There's a lot of government organizations, there's defense, and so

Vit Muller:

businesses have contracts with defense.

Vit Muller:

I can't have them as a client because they've got certain requirements such as

Vit Muller:

data being stored locally, being able to, have the servers in Australia, Microsoft

Vit Muller:

a- another one, things like that.

Vit Muller:

So I spoke to them and they've told me they are working on an enterprise,

Vit Muller:

capabilities with HighLevel, that, that would, yeah, that would be available.

Vit Muller:

So having a lead magnet like what you've done, is great.

Vit Muller:

And guys, this is not just about copying what Ali's done.

Vit Muller:

Ali has a very specific market, but I just want you to think about

Vit Muller:

how as you're looking at this, that could also be a market and you just

Vit Muller:

have to, come up with your own lead magnet and relevance to that market.

Vit Muller:

I would certainly not go after engineering 'cause I got no, background in that.

Vit Muller:

And you have to have, you have to have some credibility,

Ali Parandeh:

So in terms of pos-positioning, the reason

Ali Parandeh:

I went after engineering is because it's lower competition.

Ali Parandeh:

that's the only strategic reason, because you need to have engineering

Ali Parandeh:

background to be able to understand and talk the market language.

Ali Parandeh:

and the, AI consultancies, there is a lot of them, and that, that was

Ali Parandeh:

one way I decided to position myself to not have as much competition and

Ali Parandeh:

stand out a bit more in the market.

Ali Parandeh:

And I would suggest look at your own founder background and try to

Ali Parandeh:

find a founder-market fit, mar-- founder-product-market fit, basically.

Ali Parandeh:

Like three event diagram.

Ali Parandeh:

Create event diagram and figure out where the middle ground

Ali Parandeh:

is between all of the three.

Ali Parandeh:

So for me, my background, heavy engineering, heavy AI, so AI

Ali Parandeh:

consultancy and training was one.

Ali Parandeh:

Then, the market was engineering.

Ali Parandeh:

I could go after retail, finance, there's, all the other ones that pay more and

Ali Parandeh:

there, there is there, but there's a lot of other consultancies in there.

Ali Parandeh:

And also the product, which is basically the four-step, process I created for this.

Ali Parandeh:

So creating some kind of IP and a standardized process where you deliver

Ali Parandeh:

your services or your products.

Ali Parandeh:

and this was like a lead magnet where, I decided to create, and this is basically

Ali Parandeh:

how it gives you like the results

Vit Muller:

I like this.

Vit Muller:

So you're not asking for their details.

Vit Muller:

This is an optional extra if they want a full report.

Vit Muller:

I wasn't able to crack, I wasn't able to crack that on a HighLevel

Vit Muller:

site on how the results will be generated on a thank you page, which

Vit Muller:

is why I sent it through an email.

Vit Muller:

But you've

Ali Parandeh:

So ob-ob-so obviously this is cloud code,

Ali Parandeh:

so you get full customization.

Ali Parandeh:

So one of the things this does, once I submit this, the results of the report,

Ali Parandeh:

like a full report is generated on my Notion website where I can, on my Notion

Ali Parandeh:

to be able to see what the customer has responded to and like an entire like fully

Ali Parandeh:

report generated, what their problems are.

Ali Parandeh:

They get then that there is a sequence in Brevo where they get put in.

Ali Parandeh:

So I have, my email funnel in Brevo, and they essentially get put in

Ali Parandeh:

through an email sequence in Brevo,

Vit Muller:

Mm-hmm.

Ali Parandeh:

where they get sent the report once they provide their

Ali Parandeh:

details, as well as that lead magnet.

Ali Parandeh:

And then there is a three-day, five-day, and seven-day sequence to warm them

Ali Parandeh:

up into, booking a consultation

Vit Muller:

Great.

Vit Muller:

Good classic lead nurture sequence.

Vit Muller:

So important.

Ali Parandeh:

It's a lead nurture sequence, yeah

Vit Muller:

still amazing how many businesses don't

Vit Muller:

have lead nurture in place.

Vit Muller:

So yeah, well done.

Vit Muller:

This is great.

Vit Muller:

we're gonna, we're gonna put it, for you guys so you can look at it.

Vit Muller:

let me just get… Yeah, sweet.

Vit Muller:

Awesome.

Vit Muller:

Thanks.

Vit Muller:

so guys, if you wanna just for inspiration, or if you're listening

Vit Muller:

and you are literally an enterprise business in an engineering industry, then

Vit Muller:

that's a, that's a place you need to go.

Vit Muller:

but in general for anybody, just head over to What was the AI readiness?

Vit Muller:

Was it AI

Ali Parandeh:

It is buildyourai.com/assessment

Vit Muller:

AI assess-

Vit Muller:

/ Ali Parandeh: assessment.

Vit Muller:

So buildyourai.com/assessment

Vit Muller:

Awesome.

Vit Muller:

Right.

Vit Muller:

So you can go to that or you can go to highlevelexperience.com/aiassessment.

Vit Muller:

cool with either.

Vit Muller:

by going to the highlevelexperience.com/aiassessment,

Vit Muller:

you'll be able to, have access to additional goodies that we provide to all

Vit Muller:

our listeners, and you can also explore some of our sponsor, sponsored offers.

Vit Muller:

And now, Ali, thank you so much, mate.

Vit Muller:

we are at the end.

Vit Muller:

this was insightful.

Ali Parandeh:

It was very good.

Ali Parandeh:

Thank you so much.

Ali Parandeh:

It was insightful for me as well.

Ali Parandeh:

I didn't-- I learned a lot about the double diamond technique

Vit Muller:

Yeah.

Vit Muller:

yeah.

Vit Muller:

No, that's great.

Vit Muller:

so yeah, we've dove into a lot of, categories.

Vit Muller:

I feel like towards the end, we really started to squeeze a lot of juice with

Vit Muller:

some practical, use cases, sharing, your, your lead magnet, your journey.

Vit Muller:

We talked about, the sales process, how you sell high

Vit Muller:

ticket, how I sell high ticket.

Vit Muller:

so there's some real valuable, some real applicable practical information that

Vit Muller:

we've covered on this podcast, guys.

Vit Muller:

I know that sometimes, things can get lost in translation because this is

Vit Muller:

a conversational style and there's, there's words between the real nuggets.

Vit Muller:

but that's kinda how it goes, my tip to you guys, if you want, and I've-- I

Vit Muller:

think I mentioned it on the last episode as well, is this podcast, we're on

Vit Muller:

YouTube, we're, you can listen anywhere, but if you head over to our website,

Vit Muller:

podcast.highlevelexperience.com, you can actually go through every single

Vit Muller:

episode and there is a rich, content.

Vit Muller:

There is ready-to-copy transcripts.

Vit Muller:

So you can just copy the transcripts, run it through your Claude,

Vit Muller:

right, ChatGPT, whatever you want.

Vit Muller:

And I promise you that in every single episode, there is a real

Vit Muller:

strategy, real applicable strategy.

Vit Muller:

We are, past episode 100 now.

Vit Muller:

We've had 190, an hour to 90-minute-long interviews each.

Vit Muller:

We've spent over 800 hours on this podcast at this point.

Vit Muller:

Every time i-interviewing somebody from either the HighLevel,

Vit Muller:

community, fellow agency owners, vendors, top-level affiliates.

Vit Muller:

there's been so many experts by this point.

Vit Muller:

So all I'm trying to say is if you're struggling with your

Vit Muller:

marketing business or your business in general, just go through it.

Vit Muller:

There's a search function.

Vit Muller:

You'll find what you're looking for, and then a lot of these are

Vit Muller:

very timeless, strategies as well.

Vit Muller:

So it's just a little tip for you guys.

Vit Muller:

make sure that you apply, something from every episode.

Vit Muller:

And just like Matt Deseno's, newsletter called Margin Makers, just making a

Vit Muller:

small little marginal improvements week by week makes a tremendous

Vit Muller:

amount of an upside, when you look at it back at the end of the year.

Vit Muller:

So, Ali, thank you so much again.

Vit Muller:

If there's any-anything, you'd like to leave the audience with, any last piece

Vit Muller:

of advice, now would be a good time.

Ali Parandeh:

No, thank you very much.

Ali Parandeh:

I would say, the main thing would be to keep experimenting with these tools.

Ali Parandeh:

one of the things I would suggest that I think we didn't cover is one of the good

Ali Parandeh:

exercises to do for your business is to sit down and map out all the workflows

Ali Parandeh:

for each department in your business.

Ali Parandeh:

So when you look at your organizational chart, you will bas-basically break

Ali Parandeh:

down your business into departments.

Ali Parandeh:

Each department consists of multiple workflows, and each

Ali Parandeh:

workflow consists of steps.

Ali Parandeh:

For each step, review if that step can be AI assisted or AI automated.

Ali Parandeh:

And this is essentially how you can map, automations to different workflows and

Ali Parandeh:

different steps to gradually move your business from AI adoption towards, full

Ali Parandeh:

AI automation and mature higher maturity.

Ali Parandeh:

So instead of, like doing stuff manually, you can essentially use the system

Ali Parandeh:

to figure out exactly which parts of your business you can automate.

Ali Parandeh:

And yeah, like definitely check out my assessment, buildyourai.com/assessment,

Ali Parandeh:

and definitely check out, Vit's, the Go High Level podcast as well.

Ali Parandeh:

What was the URL again, Vit?

Ali Parandeh:

Vit Muller: highlevelexperience.com/aiassessment

Ali Parandeh:

GoHighLevel experience dot, forward.

Ali Parandeh:

And

Vit Muller:

go.

Vit Muller:

just HighLevel.

Ali Parandeh:

GoHigh-- okay.

Ali Parandeh:

And then also, what was the, podcast's link if people need to download

Vit Muller:

so that's, podcast.highlevelexper-

Vit Muller:

it's just a subdomain, podcast.highlevelexperience.com.

Vit Muller:

Yep.

Vit Muller:

brilliant.

Vit Muller:

Well, that was a great tip.

Vit Muller:

I like that.

Vit Muller:

I'm gonna, I'm gonna add extra layer to it, which is, my favorite what Elon

Vit Muller:

Musk says in his current organizations, every day they look at something

Vit Muller:

they can remove to keep it really lean, because I'm a big fan of lean.

Vit Muller:

And recently I've… one of those things, I've looked at my onboarding sequence,

Vit Muller:

'cause I've been getting a lot of feedback from customers that they get overwhelmed

Vit Muller:

by way too many emails, in the first two days when they subscribe to us.

Vit Muller:

And my thought was, "Well, I wanna make sure they're really well-educated."

Vit Muller:

And it was actually creating, a negative experience.

Vit Muller:

even though I felt all well and good, you gotta take the feedback to heart, and so

Vit Muller:

I just removed five unnecessary emails.

Vit Muller:

Some of them I removed, and some of them I spread out into a later

Vit Muller:

date, just changed my wait steps.

Vit Muller:

And now the customers are not as overwhelmed.

Vit Muller:

So yeah, think about how you can automate the business more for better

Vit Muller:

profitability, but also look at the experience of your customers, or parts in

Vit Muller:

your business or processes that are just way too complex that maybe don't need,

Vit Muller:

not need to be so that you can have more lean, all for the name of leaner business.

Vit Muller:

Thank you so much, Ali.

Vit Muller:

Thank you for being on the show, mate.

Vit Muller:

I really appreciate

Ali Parandeh:

much for having me

Vit Muller:

sharing your journey.

Vit Muller:

It's been very insightful.

Vit Muller:

And, yeah, we're at the end, guys, so thank you so much as well, to

Vit Muller:

everybody that's listening, to today's episode on The HighLevel Experience.

Vit Muller:

If you've enjoyed today's episode, then please share it with your fellow agency

Vit Muller:

mates and other HighLevelers that you think would also benefit from listening.

Vit Muller:

For show notes, links, and extra tips to help you grow your agency

Vit Muller:

or your SaaS with HighLevel, please go to highlevelexperience.com.

Vit Muller:

Thank you, and have a great rest of your day, everybody.

About the Podcast

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About your host

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Vit Muller

Vit Muller, a former fitness professional, now excels in digital marketing with his agencies 'Stand Out From The Pack' & 'Vit Muller Consulting'. A HighLevel® Software expert, he specializes in SaaS and Premium Snapshots, aiding agencies in growth. He hosts the Success Inspired and High Level Experience podcasts, showcasing business and personal development stories. Vit's journey from fitness to digital marketing exemplifies entrepreneurship and resilience. 🚀💼

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