Know where AI paysbefore you build.
We help you decide where AI is worth using, what it will take, and what to leave alone.
01Who it is for
The problems we are usually called about.
Executives and technology leaders under pressure to act on AI, who want a grounded view before committing money.
Pressure to do something with AI
The board is asking, competitors are announcing, and there is no agreed plan.
Too many ideas, no ranking
Every team has a use case and nobody can compare them.
Vendors selling their own product
Advice arrives attached to a licence.
Concern about risk
Legal, security and compliance questions are unanswered, so nothing moves.
02What we do
Decisions before spend.
Use-case selection
Candidate uses ranked by value, feasibility and risk.
Data and feasibility check
Whether your data can support the idea, tested on a sample.
Architecture and model choice
Which models, where they run and how they connect to your systems.
Roadmap and costs
Phases, budgets and the running cost once live.
03How it runs
Step by step.
- 01
Scoping call
We agree the decisions you need to make and by when.
- 02
Discovery
We meet the teams involved and collect candidate uses of AI across the business.
- 03
Feasibility
The strongest candidates are tested against your real data and systems.
- 04
Architecture and risk
We set out how each would be built, where it would run and what controls it needs.
- 05
Roadmap
You receive a ranked plan with budgets, running costs and a recommended first project.
04What you get
A plan that survives scrutiny.
A short list worth funding
With the reasoning for what was left out.
Evidence from your own data
Not a generic maturity score.
A team that can build it
The engineers who advise are the ones who deliver.
Tools we work with
Your stack, not ours
From our work
Account reconciliation platform
A month-end reconciliation platform for a finance team moving off spreadsheets. AI proposes the transaction matches; people review and sign off.
Questions
What clients ask first.
How is this different from a strategy deck?
The people advising you are the engineers who would build it, and candidates are tested on your own data, so the plan is one that can actually be delivered.
Do we have to build with you afterwards?
No. The roadmap is yours to use however you choose.
Can you help with policy and governance?
Yes. We help set practical rules for which tools may be used, with what data and under whose approval.
What if the answer is that AI is not worth it here?
Then we say so, and you have saved the cost of finding out the hard way.
How long does it take?
It depends on the size of the organisation. The scope, timeline and fee are fixed before we start.
Who will we be working with?
Senior engineers who have built and run these systems for clients, supported by specialists in your sector's compliance requirements where needed.
Tell us what you run.
Thirty minutes with an engineer. You leave with a clear scope, a timeline and a recommended approach.
