What should trigger an agent governance review?
Review should follow material changes in purpose, authority, data, users, dependencies, evidence or incidents—not an arbitrary calendar alone.
Ongoing evaluation and control evidence for systems that change in production.
Review should follow material changes in purpose, authority, data, users, dependencies, evidence or incidents—not an arbitrary calendar alone.
A useful quarterly watchlist tracks changes that could alter real decisions: system authority, evidence, incidents, standards, providers and organisational readiness.
Run evaluations often, but interrupt people only when a signal maps to user consequence, a decision owner and a tested response.
Agent systems change after release, so evidence must keep moving. Automation can collect and test signals; people remain responsible for judgement and action.
Useful observability reconstructs a decision and its effects. Begin with incident, release and governance questions; then collect the smallest safe evidence that answers them.
Age is only one signal. A dataset becomes stale when its cases, labels or conditions no longer support the decision the evaluation is meant to inform.
Self-modification turns runtime learning into controlled software change. Separate what may adapt, require evidence for promotion and preserve a recoverable baseline.
Financial agents combine models, data, tools, people and third parties, so assurance has to follow the complete regulated workflow.
KEEP EXPLORING
Read the method, assumptions and questions to ask.