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AI inventory and registry tools

These tools help teams build a governed system of record for AI use cases, vendors, models, owners, approvals, risks, data categories, and evidence.

What a useful registry tracks

Look for fields covering business purpose, owner, vendor or model, risk tier, affected users, data categories, deployment status, approval state, assessment links, and monitoring obligations.

Why buyers care

A registry becomes the starting point for EU AI Act scoping, NIST AI RMF governance, ISO 42001 management-system evidence, third-party review, and executive reporting.

IBM watsonx.governance

Strong enterprise fit when inventory needs to connect with lifecycle governance, compliance management, and monitoring.

Credo AI

Good fit for organizations that want AI discovery, registry workflows, policy controls, and evidence collection in one governance layer.

ModelOp

Strong fit for complex model estates where inventory, approvals, lifecycle controls, and regulator-grade reporting need to stay connected.

ServiceNow AI Control Tower

Good fit when the AI registry should plug into enterprise workflow ownership, intake, service management, and approvals.

Trustible

Operational governance fit for teams that need AI inventories tied to assessments, controls, and accountable review workflows.

LucidTrust

Good fit for regulated buyers that want inventory, vendor assessment, approval workflows, and continuous oversight in one place.

OneTrust

Strong fit where AI inventory should live alongside privacy, risk, third-party, and compliance operations.

AuditBoard

Good fit when inventory records need to flow into audit evidence, control testing, issue management, and connected-risk reporting.

Editorial takeaway

The best AI inventory is not just a list. It is a workflow object that drives approvals, risk reviews, evidence, ownership, and change management over time.