AI oversight frameworks boards can trust
Drawing on late-2025 governance briefings, here is a board-ready template to control AI risk without stalling product velocity.
Board governance groups closed 2025 with clear guidance: treat AI like any other critical system—assign owners, define thresholds, and test responses. The novelty is gone; oversight must be routine.
Start with a clean inventory
- Catalog every AI use case, its data sources, and the users it impacts.
- Flag models that touch regulated data or customer-facing flows.
- Assign a single accountable owner per high-risk use case.
Tie controls to existing playbooks
Late-2025 board memos emphasized convergence: AI risk should plug into cyber, privacy, and product incident playbooks, not create a parallel bureaucracy.
- Run red-teams on high-risk prompts and log failure modes.
- Set service levels for model updates, rollback, and human-in-the-loop reviews.
- Align third-party AI vendor risk with your existing procurement guardrails.
“Boards expect AI oversight to feel like safety engineering, not theater.”
Clarify thresholds and escalation
What triggers a board notice?
Regulatory exposure, customer-impacting incidents, or model drift affecting commitments should hit the board within 24 hours.
Practice drills with the same cadence as security incidents. The metric: time from detection to board notification with options and a recommendation.
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