AI governance isn't a single meeting or approval step. It’s a structured lifecycle that begins with intake and continues through monitoring, reassessment, and documentation. Onboard AI coordinates this lifecycle within one system of record.
AI enters the workflow from third-party vendors, internally developed tools, and enterprise feature releases.
Every stage of governance builds on a persistent record that evolves with the AI system.
AI enters the workflow from third-party vendors, internally developed tools, and enterprise feature releases.
Evidence is tied to flagged Risks, which are tied to Mitigations, Ownership and contained in a longitudinal, durable Governance Record for each AI tool.
We support high-volume intake, e.g. vendors, internal AI, enterprise releases. Our system checks for duplicate entries, version updates + triages accordingly.
Onboard AI enables structured AI tool profiles that can be shared across organizations, reducing redundant evaluation effort while preserving local accountability.
