Most AI programmes stall between the pilot and the board. The use case works, but nobody can say who owns the risk, what evidence an auditor would see, or how the second and tenth use cases get approved.
This service line puts that in place first: a roadmap the business signs, a control framework the board can read, and an operating model that lets your own teams keep approving use cases without us.
Outcome
Sustainable AI adoption and a board-ready control framework.
AI strategy & roadmap
Use cases ranked by value and risk, sequenced against the data and systems you already have.
Policy & risk frameworks
A policy suite, risk taxonomy and register mapped to ISO/IEC 42001, NIST AI RMF and your local regulator.
Audits & readiness
Gap assessment of the current AI estate — inventory, risk tiering, maturity scorecard — and the price of closing the gap.
Operating model
Committee, decision rights, intake gates and a Centre of Excellence, so every AI decision has a named owner.
6–8 weeks
A³ Adoption Framework
Readiness scorecard, prioritised roadmap, governance charter.
4–6 weeks
G1 Assessment & Risk Tiering
Risk-tiered inventory and maturity scorecard.
6–8 weeks
G2 Policy, Framework & Literacy
Policy suite, committee charter, intake gate.
10–14 weeks
G5 Audit, Certification & Assurance
Audit report, control scores, attestation.
Fixed scope, fixed milestones, fixed deliverables — each mapped to ISO/IEC 42001, NIST AI RMF and the local regulator.
