AI Strategy & AI Governance

Our AI consulting services cover use case identification and prioritisation, data and infrastructure readiness assessment, build-vs-buy decision analysis, and a sequenced 12–18 month AI roadmap. For regulated industries the engagement also includes AI Act classification, NIST AI RMF mapping, and risk appetite alignment before any implementation begins.

An AI governance framework defines how your organisation makes decisions about AI: which use cases are approved, how models are validated, how risk is classified, and who is accountable when something goes wrong. Without it, organisations face regulatory exposure, reputational risk, and AI systems that produce unreliable outputs at scale.

We classify your AI systems against EU AI Act risk tiers, identify prohibited use cases, and build the conformity assessment, technical documentation, and human oversight requirements into your governance framework. For high-risk AI systems we design the audit trail and monitoring architecture required for Article 9 compliance.

AI strategy defines what to build, in what order, and under what constraints. Implementation builds it. Organisations that skip AI strategy spend significant budget on the wrong use cases, often discovering data readiness or regulatory issues only after the model is built. Strategy prevents that. Most engagements move into implementation within 4–6 weeks of strategy completion.

Yes. Most clients come to us at the point where leadership has committed to AI but has not yet decided where to start. We run an AI readiness assessment to surface the highest-value, lowest-risk use cases and define the governance structure before the first model is commissioned.