AI Council Toolkit
Operations

Operations & Maintenance Pack

Post-deployment monitoring, incidents, policy refresh, training, and reporting. The practices that keep a council effective over time.

A council that only does approvals will lose relevance. This pack covers the ongoing work that keeps governance effective: monitoring deployed systems, managing incidents, refreshing policies, training the organization, and reporting on program health.

In This Section

  • Monitoring: Post-deployment monitoring and periodic review
  • Incidents: AI incident and near-miss management
  • Policy Refresh: Keeping policies current as technology, regulation, and the organization evolve
  • Training and Literacy: Building AI literacy across the organization
  • Reporting: Annual and quarterly reporting on the AI governance program
  • Council Health Check: A maturity model and self-assessment for evaluating your program

Sources

This pack draws on the EU AI Act's literacy obligations, Google's post-launch lifecycle, Microsoft's annual transparency reporting, and the US DOJ's annual inventory discipline.

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