Frameworks
APC-AIGS frameworks convert AI governance principles into repeatable controls, review steps, and evidence expectations.
Governance architecture
- Role clarity for owners, reviewers, approvers, and escalation paths.
- Risk tiering that connects model use to oversight depth.
- Lifecycle controls from design through monitoring and retirement.
Assurance evidence
- Model cards, evaluation records, incident logs, and vendor attestations.
- Human oversight and fallback procedures.
- Independent review checkpoints for high-impact use cases.
Implementation support
- Templates for readiness reviews and executive sign-off.
- Maturity maps for institutions at different starting points.
- Board-level summaries that preserve technical nuance without overload.
