Pick the right first use case, and prove it fast.
Short, senior advisory engagements that find where AI pays back in your organisation, test it on real data, and leave you with a roadmap, not a slide deck.
AI strategies stall between the deck and the build.
Most organisations don't lack AI ideas. They lack a way to choose between them, a clear view of what their data and systems can support, and a first project small enough to finish.
Strategy work that ends in a long list of use cases rarely changes anything. What helps is a ranked shortlist with honest effort estimates, a check on data readiness, and one use case proven on real data.
Our advisors are the same architects who build and run the solutions. Recommendations come with the delivery reality already factored in.
What we build and run for you.
Use-case discovery
Workshops with the teams doing the work to find where time, risk and cost concentrate.
Readiness assessment
Data, systems, security and skills reviewed against the shortlisted use cases.
Business case
Value, cost and risk for each option, with assumptions stated so they can be tested.
Proof on real data
A working slice of the top use case, evaluated against an agreed baseline.
Production, not pilots. Built to run inside your operations.
Every agent we ship has an owner, an evaluation set and an audit trail before it touches a live case.
Four to eight weeks from question to proof.
Discover
1–2 wksInterviews and process walk-throughs to surface candidate use cases.
Assess
1–2 wksScore each on value, feasibility, data readiness and risk.
Prove
2–4 wksBuild a working slice of the top candidate on real data.
Plan
1 wkRoadmap, architecture and governance model for what comes next.
- Senior architects, not junior analysts
- Assumptions written down and tested
- Readiness checked against your actual systems
- Fixed scope and fee for the advisory phase
- No obligation to continue with us
Where it earns its keep.
Illustrative patterns from the sectors we work in. Client details stay anonymised.
AI roadmap for a regulator
Shortlist automation opportunities across licensing, inspections and enquiries, and prove the first.
Compliance AI assessment
Assess where AI can reduce KYC and monitoring effort within regulatory expectations.
Vendor and platform choice
Compare model and platform options against your security, residency and cost constraints.
Programme rescue
Review a stalled AI programme and set a recovery plan with clear next steps.
Chosen for the job, not the vendor.
Work this builds on.
A regulator's entire licensing lifecycle, rebuilt as one digital platform
A governed digital platform and partner API layer for a national education authority
Client details anonymised per delivery agreements.
Questions we get asked.
When should we bring in an advisory engagement rather than starting delivery?
When the question is genuinely open — what architecture, what platform, what sequencing — or when an existing programme is at risk and an independent view is needed before committing more spend. Advisory engagements that produce real value tend to be short (four to eight weeks), narrow in scope, and led by the same architects who would deliver if it came to that. Advisory disconnected from delivery experience is, in our view, the wrong shape of work.
Is the architecture audit a sales motion?
It is not. We charge for advisory work on a fixed-fee or time-and-materials basis depending on the scope, and we have closed audits with "do not start this programme, here is why" recommendations. We would rather walk away from a programme we would have to apologise for than book the revenue. Our repeat-client rate depends on that posture.
Can you help us decide between vendors during an RFP?
Yes — independent vendor evaluation is a standard advisory engagement. We assess the actual delivery shape, reference checks, architecture fit, operating-model implications, and procurement-readiness of each option. We have no resale relationships that would distort the assessment; if we deliver on a vendor's platform, we will say so.
How senior is the advisory team?
The advisory work is led by the architects who deliver. No principal-sales / junior-delivery split. That is a design decision: advisory recommendations that are not informed by recent delivery experience produce decks, not outcomes. The person who would sign the assessment is the person who would lead the resulting programme.
What would you hand to an agent first?
Bring one workflow. In 60 minutes an AI architect maps where an agent helps, what it needs to reach, and what a first working version would take.