AI comes into the company in pieces: someone buys a tool, a vendor turns up, an idea for automating something appears, the team asks for rules. If nobody owns this, every decision lands on the owner or goes undecided. AI Partner exists so it doesn’t work that way.
When this can no longer be decided on the side
| We did one AI project and now nobody knows what comes next | There is now a roadmap, revised every month. | |
|---|---|---|
| The team uses AI tools the company never approved or evaluated | Usage rules written down, and the tools evaluated first. | |
| Proposals arrive with AI in them and there is no way to judge the price | We test them against a case of yours before any contract. | |
| There are too many automation ideas and no way to rank them | Ranked by hours and by risk, not by enthusiasm. | |
| Nobody internal has the time — or the mandate — to decide this | Someone decides — from outside, and with the context. | |
| What we built works, but it stopped where it was left | It moves again: a monthly review of what is in production. |
Three modes
Advisory
We decide with you: roadmap, tools, vendors and rules. Your team or a third party does the building.
Delivery
We decide and we build. The common one: this month’s decisions become next month’s system.
Dedicated
Reserved capacity every month, for companies with more processes queued than the other modes can carry.
What stops landing entirely on you
The list of candidate processes, ranked by hours and by risk. Revisited every month, not once a year.
Tested against one of your cases before there is a contract. When the answer is that it is not worth the price, that is the answer you get.
A process in small form, so you can watch it work before deciding to build it properly.
What may go into an outside tool and what may not. Written down, so the team can look it up.
On the processes and tools the team already uses — not a generic AI course.
Hours, what changed, what did not, and what we decided not to do.
Monthly report
At the end of the month it has to be possible to see what moved, what was decided and what was not worth doing. Otherwise it is just one more retainer.
| Hours | Where they went | Process by process |
|---|---|---|
| Impact | What changed | Measured against the starting point |
| Decisions | What was settled | Tools, vendors, rules |
| Left out | What did not move | And why |
What gets out of the way in a month
Evaluating a tool
The team asks for a tool → Tested against a real case · AI → Cost, risk and alternative → Buy or do not buy
A candidate process
Process proposed → Measured: frequency and hours → Prototype in days · AI → Ships or gets dropped
Putting it to use
System in production → Training on the actual work → Usage rules written down → Reviewed the following month
It is not a bucket of hours to invent work with. It is someone taking the decisions that come up and making them move.
Frequently asked questions
How is this different from hiring a project?
A project answers a question you have already asked. The retainer is for the ones that turn up afterwards — the new tool, the next process, the vendor promising AI. If you only have one question, do the project: it costs less, and we will tell you so.
Is there lock-in?
No. It is monthly and it ends at the end of a month. What we built is yours, with the code and the documentation.
What if there is nothing to do in a given month?
It happens, and we say so rather than invent work to justify the invoice. If it happens two months running, we suggest pausing until there is something.
Do you work with our IT team or over their heads?
With them. The people who know the systems are the ones already there, and without them an ERP integration takes three times as long. Where there is no internal team, we handle it and leave it documented.
Has AI already come into the company, but everything still lands on you?
In 30 minutes we work out whether there is enough work and enough decisions for continuous support to make sense — or whether solving one thing and moving on is enough.
One connected set of services
Process automation
If someone copies, retypes or keeps confirming the same thing, there is work to spare.
Custom AI software
When the team works around the software, a piece is missing.
AI for industry and operations
Production can be finely tuned while the office is still stuck in email and Excel.
AI in Northern Portugal
The factory is finely tuned. The office still runs on email, Excel and the ERP.
