AI Councils
Operations

Reporting

Quarterly and annual reporting on the AI governance program.

Why Report

Reporting serves three purposes:

  1. Accountability: Demonstrates to leadership and the board that governance is functioning
  2. Transparency: Builds trust with stakeholders (internal and, selectively, external)
  3. Improvement: Surfaces trends, gaps, and opportunities to strengthen the program

Quarterly Report (to Executive Sponsor)

A concise update covering:

SectionContents
Inventory summaryTotal systems by status and tier. New additions and retirements.
Intake activityCases submitted, tiered, and resolved this quarter. Average turnaround time.
DecisionsNotable approvals, conditions, escalations, and rejections.
IncidentsAI incidents and near-misses. Status and lessons learned.
Policy updatesAny policy changes made or proposed.
Champion networkNetwork health: coverage, activity, feedback.
Emerging risksNew technologies, regulatory developments, or organizational changes on the horizon.
Actions neededDecisions or resources the sponsor needs to provide.

Annual Report (to Board / Executive Leadership)

A full-year review covering:

  • Everything in the quarterly report, aggregated for the year
  • Program maturity assessment: How has governance capability evolved?
  • Regulatory compliance status: Are obligations being met?
  • Benchmark comparison: How does the program compare to industry peers?
  • Strategic recommendations: What should change in the coming year?
  • Resource needs: Budget, headcount, tooling for the coming year

External Transparency (Optional)

Some organizations (e.g., Microsoft) publish annual AI transparency reports. Consider publishing:

  • A summary of AI principles and governance structure
  • Aggregate statistics on AI use (number of systems, risk tiers, review volume)
  • Key lessons learned (anonymized)
  • Commitments for the coming year

This builds trust with customers, regulators, and the public.

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