AI MethodThe route
The whole route, from rules first to running every day.
We agree the rules first, bring your first team into daily use, check who can see what before access grows, then build what earns its place and keep it running. Guardrails, the agreed rules on what AI can reach and what your people may put into it, run through all of it.
Certified in the Claude Partner Network Microsoft Solutions Partner ISO 27001 ISO 9001 Independent since 1999
Each stage of the route
AI RolloutTrack
Govern
Your leadership agrees the rules, the tool register gets written and sign-in comes under your company account. Nothing touches a live system first.
AI RolloutTrack
Adopt
Your first team starts using AI every day on the work they already do. The phase closes on a test we run on your own work.
Between Track and Build
Permissions review
Before anyone else gets access, we check who can see what. It is a gate across the route, which is why it has no number.
AI DeliveryBuild
Discover
We work out what is worth building and rank it, and we say so when the answer is a plain workflow.
AI DeliveryBuild
Make
We build what earns its place, connected to the systems you already run. Each piece is scoped and quoted on its own, and you can stop after any one of them.
AI DeliveryBuild
Test
We test it on your own work and tell you the result. Every build closes this way.
AI ContinuityTrackside
Trackside
From the day your first team is live, three things run side by side and keep running. What you learn in use goes into a ranked list, and that list decides what gets built next.
- Running keeps what is live in working order.
- Improving fixes the cause of every result your team rejects.
- Reviewing keeps the rules current as people and uses change.
AI adoption that keeps its promises.
Stages
What each stage does and what closes it
Three stages that run in order, with guardrails through all of them and a permissions review between your first team and everyone else.
Track
AI rollout in two phases
We agree the rules first, then bring your first team into daily use.
- Govern agrees the rules and who can reach what
- Adopt brings your first team into daily use
- Adopt ends with a test on the work your first team does
Permissions review
We check who can see what before anyone's access grows. A connected AI tool can open anything its user's account can, so every rollout includes this check and no deadline moves it.
The permissions review in full →Build
AI delivery in three stages
We build only what earns its place, and each piece is scoped and quoted on its own.
- Discover finds and ranks what is worth building
- Make builds it into the systems you already run
- Test checks it against your own work
Trackside
AI continuity in three parallel parts
The monthly service from the day your first team is live, with three parts running side by side.
- Running keeps what is live in working order
- Improving fixes the cause of every result your team rejects
- Reviewing checks the rules on a set schedule
AI adoption that keeps its promises.
Outcomes
What good looks like six months in
- You can describe and defend your AI position in one sentence.
- Your people know what they can use AI for and where to stop.
- Nothing has widened without someone checking who can see what.
- Work that used to be done by hand runs on its own and is kept running, and the time it saves is measured on your own work.
- A ranked list of what to improve next is ready whenever you are.
- The project has ended, and AI is part of how the work gets done.
