AI governance

Create and manage AI use cases with risk classification, framework linking, team assignment, and approval workflows.

Collect structured AI project requests through branded public forms with built-in risk scoring.

Register and track all AI models across your organization.

Track models from development through deployment and retirement.

Coordinate AI governance activities and compliance tasks across your teams.

Document, track, and resolve AI-related incidents effectively.

Gather and organize evidence for compliance and audits.

Visualize relationships between models, vendors, risks, and use cases.

Track user actions, system events, and application logs.

Public transparency portal for sharing your AI governance practices.

Register and track datasets used by your AI systems, with PII detection and bulk upload.

Discover and manage service accounts, technical users, and system identities across connected source systems.

View compliance progress, risk summary, and key metadata for a use case.

View which AI models from the inventory are connected to a project.

Set up multi-approver sign-off workflows for use cases, policies, and models.

Share read-only views of resources with external stakeholders via expiring links.