AI OS build
An engagement, not a licence. We come inside the business, map how it actually runs, connect the systems that hold the truth, build the Mind that holds memory and rules, and put the first operator into production against a job you can name.
Most AI buying decisions start with a tool and then go looking for a problem. An AI OS build runs the other way. We start from how the company already works — who decides what, which system holds which truth, where the same question gets re-answered every week — and only then decide what to build.
The build is deliberately narrow at the start. We pick the one job with the clearest money attached to it, ship that into production, and widen from there. That keeps the first sign-off close, and keeps you from paying for a platform before you have watched it do something real.
What you end up with is a connected data layer, a Mind that holds your company's memory and rules, and at least one operator working inside it — plus the documentation to run all three without us in the room.
- We connect to your systems. We don't replace them.
- One operator in production beats six in a slide.
- Each phase ends with a written summary and a sign-off before the next one starts.
- Any phase that hasn't started yet is fully refundable.
The things that leave the engagement with you.
Each item below is a deliverable, not an activity — something you can read, run or hand to someone else. You own all of it, including the operators built for you.
Systems and data map
A written map of the systems that hold your truth, what lives where, and which of them we can read and write today versus which need work first.
Connected data layer
Access wired to the systems in scope, with the field-level mapping documented so you can see exactly what the OS reads.
The Mind
Company memory, rules and decision logic in one layer, so every operator built afterwards inherits the same context instead of relearning it.
First operator in production
One role-shaped operator doing a named job, with its scope, schedule and approval rules written down before it goes live.
Approval and audit rules
Which actions run unattended, which need a human, and who that human is. Every action the operator takes is logged with its source, its reason and its approver.
Operations handover
How to read the log, change a rule, pause an operator, and reach us when something looks wrong.
Delivered in phases, each one reviewed and signed off before the next begins.
The full engagement runs Understand → Connect → Build the Mind → Deploy operators → Operate → Learn. These are the phases this service does its work in. Any phase that hasn't started yet is fully refundable.
Understand
Sessions with the people who actually run the work, not just the org chart.
Connect
Systems and data wired in, with the mapping written down as we go.
Build the Mind
Memory, rules and decision logic assembled on your data shape.
Deploy operators
The highest-value operator goes live first, inside its approval rules.
It is more useful to know when this is the wrong buy.
- You run on several systems that don't talk to each other, and the joins happen in someone's head or a spreadsheet.
- The same question gets asked and re-answered every week, by a person, from scratch.
- You want something working in production, and you can name the job it should do first.
- You want a chatbot bolted onto a website — that is far less than this, and you should buy it as such.
- Nobody internally can grant access to the systems. Without data, there is nothing to build on.
- You need a certified, audited platform today. We are early stage and we won't claim certifications we don't hold.
- You own your data, and you own the operators we build for you.
- Every operator action is logged with its source, its reason and its approver.
- High-impact actions need a human approval before they run.
- Phases are quoted, reviewed and signed off one at a time. Unstarted phases are fully refundable.
Talk through AI OS build on your systems.
30 minutes, no deck. We map your systems live and tell you what we'd do first — including when the honest answer is that you don't need this yet.