AI Governance & Risk

Operational Controls

3 lessons · ~9 min

Estimated reading time.

Overview

Turn governance intent into assigned responsibilities and reviewable controls. Map budget, data-retention, provider-access, and incident-response decisions to the systems and owners that can actually enforce them; do not assume a written policy is technically enforced.

1
Quota and Budget Control
~3 min
Explains why AI spend needs an enforced limit, not just a monitored one — and the two mechanisms (a real-time quota and an accurate ledger) that actually hold that limit.
2
Retention: How Long Data Actually Lives
~3 min
Turns 'we should probably delete old data at some point' into an actual rule with a number attached — because an undefined retention policy quietly becomes 'forever,' and forever is a liability, not a convenience.
3
The Incident Playbook
~3 min
Builds the response plan for the question every governance program eventually faces — 'AI did something wrong, now what' — before it happens under pressure, not during it.