An inventory is the starting point for governance. It makes products, internal features, third-party models, experiments and business-purchased tools visible. It needs an owner and an update routine.

Record an ID, status, purpose, users, business and technical owners, affected people, data origin and retention, model and vendor, integrations, permitted actions, risk rationale, evaluations, oversight, incidents, next review and retirement plan.

Trigger an update for a new system, launch, model or tool change, new purpose, incident or periodic review. Product owns purpose and outcomes; engineering and data own versions and integrations; security, privacy and legal record controls and obligations.

Use the inventory in roadmap, procurement, incident and audit reviews. Connect every item to the AI risk matrix and governance checklist.

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CSVDownload the AI system inventory
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AI Governance

Turn responsible AI principles into operational decisions, controls and evidence.

PILLAR GUIDEAI governance: a practical guide for products and companiesImplement AI governance with inventory, risk classification, evaluations, human oversight, monitoring and incident response.RELATED GUIDEAI governance checklist for products and organizationsAn AI governance checklist for discovery, data, evaluation, approval, launch, monitoring, incidents and retirement.RELATED GUIDEAI risk matrix: classify impact and controlsClassify AI risk by impact, likelihood, scale, reversibility and contestability to set evaluation, approval and oversight.

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