AI transformation
Most enterprise AI programmes do not fail at the model. They fail at the boundary: which decisions a system may take unsupervised, what evidence it must leave behind, and which system of record is authoritative when a model and a human disagree.
We are engaged to design that boundary and then build across it — into the stack an institution already runs, with the audit trail its regulator will ask for.
- Practice
- Advisory and delivery
- Industries
- 12, with 6 evidenced
- Platforms
- AI operations & data tooling
Four workstreams
Decision boundary
Which decisions are automated, which are recommended, which stay human. Written as policy, implemented as code.
Data and retrieval
Where the ground truth lives, how it is retrieved, and what happens to a decision when the source is stale.
Evaluation and evidence
A test suite before a pilot, a logged rationale per decision, and a review procedure a regulator can read.
Integration and operations
Into identity, workflow and the systems of record — then run, monitored, with a rollback that works.
How an engagement runs
- 2–3 weeks
Assessment. Candidate decisions, data readiness, the honest list of what should not be automated.
- 3–4 weeks
Architecture. Boundary, retrieval design, evaluation plan, integration map. A document that survives review.
- 6–12 weeks
Build and pilot. One workflow end to end, instrumented, with the evidence trail live from day one.
- Ongoing
Operate or hand over. Runbook, monitoring, and a trained internal team — or managed services.
This capability, by industry
Intersection pages exist where the work can be evidenced. The rest are listed so you can see what is not claimed.
- Financial services
- Government & public sector
- Capital markets & digital assets page pending
- Supply chain & logistics page pending
- Healthcare & life sciences page pending
- Telecom, media & communications page pending
6 further industries — not yet evidenced
Start a conversation
Tell us what you are trying to build and what has to be true for it to be safe. Enquiries reach an engineer, not a queue.