AI automation agency
An AI automation agency usually means a sales call, an account manager, and a junior doing the actual work behind both. This is the same output with the middle removed: you talk to the person who builds it, and the volume is carried by a team of AI systems rather than a team of people. That is not a slogan — 65 systems have been built this way, and 13 of them are written up in full on this site.
What usually goes wrong with automation work
- It gets built for the demo, not the Monday. A system nobody opens on a Monday morning is not finished, however clever it is. The test that matters is whether the person who was doing the job by hand has stopped doing it by hand.
- It fails quietly. An automation that stops running looks exactly like a calm week. Every system here is watched by another one whose only job is to notice and say so the same day.
- The cost creeps after launch. The failures that kill these projects nearly all happen in the part nobody demos: the running cost that grows, the value nobody can point at, the control that was never built.
- You do not own the result. A lot of agency work leaves you renting your own process. Here you hold the code and the logins from day one, and the thing keeps running if we never speak again.
What the first two weeks look like
Week one is not building. It is getting to your data and finding out what it actually says, because that is where the estimate either holds or does not. If two systems disagree about the same number, you hear it in week one rather than month three.
Week two is the first job running end to end, in production, on real data, narrow enough to finish. Not a pilot in a sandbox — something the person who used to do it by hand can stop doing by hand.
Then it either earns its keep or it does not, and you have spent two weeks finding out instead of a budget.
What gets automated first, in practice
Not the flashy thing. The boring, repeated one where a mistake is visible and reversible, because that is the only kind you can actually check by the end of the week.
- A report somebody rebuilds every morning by hand.
- The same data retyped between two systems that do not talk.
- The same customer question answered from scratch fifty times a week.
- A daily check across hundreds of rows that nobody honestly has time to do properly.
How a build runs
- An hour, free, first. We look at where AI helps and roughly what it is worth in your numbers. You leave knowing whether it fits, whether or not we go on.
- One job, in production, in about two weeks. Small enough to finish, real enough to judge. If it does not earn its keep you have spent two weeks finding that out, which is the cheapest way to find it out.
- A guardrail before autonomy. Routine work inside limits you set runs unattended. Anything unusual stops, names the reason, and waits for a person. Nothing that costs money gets decided without a signature.
Who this is not for
- You want a monthly retainer with a slide deck attached. Builds are priced per project, and when it is done it is done.
- You want to replace your team. AI here takes the repetition; the people stay and cover more.
- You want the cheapest possible version of something you have not defined. That is where automation projects go to die, and I would rather say so on this page than in month three.
Built and running, not a portfolio
- Photo factory — one product photo in, a whole marketplace listing out — images, infographics, short video and text. One real batch: 32 products in a single run.
- Returns & defects handler — every claim judged by the same rules the moment it lands, and one batch to sign off each morning.
- Team briefing bot — the numbers and the day's list in the team chat every morning, with nobody assembling them.
- New-arrivals radar — the whole category scanned on a schedule, so what is already selling shows up before a competitor tells you.
Honest answers
What does an AI automation agency actually do?
It takes a job your people repeat and builds something that does it end to end — pulling the data, doing the work, and handing a person only what genuinely needs a person. The useful question to ask any of them is not what it can decide, but what it will refuse to decide and how you will hear about it.
How much does AI automation cost?
The first conversation is free and build prices are fixed per project, quoted up front rather than discovered as the work goes. What actually drives the number is how messy the data is, not how clever the model is — a job with clean inputs is a fraction of the price of the same job with three systems that disagree.
How long until something is running?
The first piece is usually working in about two weeks. That is on purpose: a first project small enough to finish and real enough to judge tells you more than a three-month plan.
Do I own what you build?
Yes — the code and the accounts. No lock-in and no per-seat fee on something you paid to have built.
Will this replace my staff?
No, and it is not sold that way. It takes the repetition and the round-the-clock grind a person cannot cover, which makes your best people cover far more. A skilled operator plus AI beats either on its own.
Tell me what your team keeps redoing
Two lines about the job that repeats most in your week. I will come back with what I would automate first, roughly what it is worth, and what would have to be true before it could be built. The first conversation is an hour and it is free.
Book that hour →