One structured record per AI system.
Register every AI system, agent, and AI-assisted workflow in a single operational record — with owners, lifecycle, risk classification, and governance status tracked over time.
Structured intake
Framework-aware intake captures purpose, data scope, model, oversight model, and risk class — no free-text dump.
Agents as first-class
Autonomy level, oversight model, and parent system relationships are first-class fields for agentic systems.
Lifecycle management
Proposed → Approved → Build → Live → Retired. Stage transitions are recorded, reviewable, and reversible.
Linked accountability
Every risk, control, evidence item, decision, and review traces back to the system record automatically.
See ai system registry operating against your AI systems in under 10 minutes.
Yes — import from spreadsheets or your CMDB. Field mapping is preserved and historical entries are versioned on import.
Yes. Vendor-provided AI services, embedded AI features, and internally-built systems are all registered with the same structure.
Agents are first-class registry entries with autonomy level, tool access, oversight model, and parent system relationships.
Role-based permissions scope edits to owners, governance teams, and approvers. All changes are versioned.
Start building record for your AI Systems.
One connected structure for systems, risks, evidence, reviews, decisions, and accountability activity across the organisation.