The model is fine. Nobody wrote anything down.
Teams try an assistant, get answers that could apply to any company, and conclude the tool is not ready. It is. What is missing is the thing nobody has ever had a reason to write: how this particular business actually decides.
Generic in, generic out.
An assistant with no memory of your business is a very fast consultant on their first day. These are the four things that change that, in the order they matter.
Writing down how the company decides
Not documentation, which describes what things are. Decision rules: what you charge and why, what you refuse, what good looks like, what has already been tried and failed. Most businesses have never written a single one of these down because everyone senior already knows them, and that is exactly why a new assistant sounds like it read your competitors instead.
Where the knowledge should live
Instructions, memory, retrieval and tools solve different problems. Putting a decision rule in the wrong one is why it gets ignored.
What to connect and what to leave alone
Every integration is a maintenance liability. Connecting everything because you can is how a system becomes unmaintainable in a quarter.
Where automation stops paying
The honest boundary. Some work is genuinely cheaper to keep manual, and a system that tries to absorb it becomes fragile in ways that cost more than the task ever did. Knowing where to stop is most of what separates a system that survives a year from one that gets abandoned in six weeks.
Your workflow first, tools second.
Starting from the tooling is how businesses end up with an expensive system nobody uses.
- 01
Map the actual work
What a week really contains, including the parts nobody would list in a job description. That is usually where the time goes.
- 02
Find the repeated judgements
The decisions made the same way every time. Those are the automatable ones, and they are rarely the tasks people nominate.
- 03
Design where knowledge lives
Which rules go in instructions, which in memory, which behind retrieval, and which should stay in somebody's head.
- 04
Sequence the build
What to build first so it earns its keep before the second thing gets built. Nothing here is a big-bang rollout.
We run the agency on this.
The advice comes from operating a system daily, not from having read about one.
I really enjoy working with Igor. Super knowledgeable, fast, and he takes initiative. Easy to reach, always brings smart strategies, and he built us a full AI dashboard where every result is easy to read. We speak weekly. I'd recommend working with him to anyone.
I just got the AI assistant and I'm absolutely blown away. It feels like I'm Tony Stark. The amount of work I get done now is insane, and I've had zero issues with it.
E-commerce · Truck, van & 4x4 accessories
E-commerce · Fashion
E-commerce · Modest fashion
Three reasons this is not a workshop.
We use it to run the business
Reporting, research, account work and this website all run through the system we would be advising you to build. Advice from operating it, not from studying it.
We will tell you where it stops
An assistant without an operator plateaus, because it cannot notice what it was never told to look at. Anyone claiming otherwise has not run one for long.
You keep the system
It lives in your accounts, in your files, in your organisation. Nothing about it depends on us still being here.
This, against an AI transformation deck.
Call packs available for ongoing direction. First thirty minutes free to establish whether an hour is worth buying. If you would rather it were built for you, that is a separate engagement.
Book a strategy callQuestions, answered.
The ones that come up before booking an hour.
01Why does our assistant give such generic answers?
Because it knows what everybody knows and nothing about you. It has read a great deal about marketing and nothing about your margins, your refusals, your pricing logic or the three things you tried last year that did not work. Nobody wrote those down, because everyone senior already knew them. Writing them down is the work, and it is unglamorous enough that most teams skip straight to buying another tool.
02Which tools do you recommend?
That is the last question, not the first, and answering it early is how businesses end up with something expensive nobody opens. Map the work, find the repeated judgements, decide where knowledge should live, then pick tooling to fit. Reversing that order is the most common failure in this space.
03Where does AI stop being worth it?
Sooner than the enthusiasm suggests. Anything requiring judgement about a situation the system has never seen, anything where being wrong is expensive and hard to detect, and anything so rare that maintaining the automation costs more than doing it by hand. A system that respects those limits survives. One that ignores them gets abandoned in about six weeks.
04Do we need a technical team for this?
For the thinking, no. Most of the value is in decisions about process and knowledge that a business owner is better placed to make than an engineer. For the building, it depends on scope. We will be clear about which parts need someone technical before you commit to anything.
05Is this the same as the free AI assistant?
No. The free assistant is a working system you download and set up yourself, and it is genuinely free. This is direction for a team designing their own, where the questions are about their business rather than about installing something. Some people take the free one first and book an hour later when they hit the parts that are specific to them.
06Will this replace people?
In our experience it moves what people spend their time on rather than removing them. The work that disappears is the assembling and formatting, and the work that grows is judgement and client contact. If the goal is headcount reduction specifically, we are probably the wrong people to help.
Bring a week of actual work.
What your team spends time on and where an assistant has already disappointed you. Thirty minutes free to establish whether an hour is worth buying.
The bottleneck is not the model. It never was.
Bring a week of real work and the assistant that disappointed you. We will show you what is actually missing.