Cases

Every team builds on its own platform. Who owns what is answered by hand.

1. Every AI system on one live register.
2. Every system gets a named owner.
3. CPS 230, CPS 234 and FAR mapped per system.
4. Providers and models visible behind each one.

OutcomeOne framework, one name behind every system.

Review queues grow faster than the team, sorted by arrival.

1. Each system carries a confirmed risk tier.
2. Oversight rules set per system.
3. Every item traces to one owner.

OutcomePeople review what matters, and can show why.

Decision models run in vendor platforms and Databricks. Few are written down.

1. Each system screened for decisions about people.
2. Answer recorded with evidence, confirmed by a person.
3. The list stays current for the privacy team.

OutcomeDisclosure that matches what actually runs.

The agent is ready. The evidence is spread across five teams.

1. Owner, model and risk tier already on record.
2. Rights set: read, draft, update, or a person decides.
3. Controls linked with dated evidence.

OutcomeApproved in days, on evidence.