AI system inventory
Every model, agent, vendor API, and shadow-AI workflow mapped to a business owner, data category, and decision impact. No more spreadsheets that go stale in a fortnight.
A four-to-six week AI governance assessment that gives boards, regulators, and product leaders the same picture: which AI systems you run, how risky each one is, and the shortest path to audit-ready.
Every model, agent, vendor API, and shadow-AI workflow mapped to a business owner, data category, and decision impact. No more spreadsheets that go stale in a fortnight.
Each system rated against EU AI Act tiers (prohibited, high-risk, limited, minimal), ISO/IEC 42001 control areas, NIST AI RMF functions, and your internal risk appetite.
Where you stand on data governance, human oversight, transparency, robustness, security, and post-market monitoring — with evidence requirements named, not implied.
A sequenced roadmap with effort, owner, dependency, and audit-readiness milestones. Designed so engineering, risk, and legal can sign off on the same page.
Artefacts your risk function, your auditors, and your board can all use. Nothing that sits in a slide deck and ages.
Financial services, healthcare, public sector, and enterprise software teams preparing for the EU AI Act, an ISO 42001 audit, or a board-level AI risk review. Typical engagement: 4–6 weeks, one practitioner, one accountable owner on your side.
A 30-minute call. We agree on what's in scope, what evidence already exists, and whether an assessment is the right next step.