Executive reporting
What does executive reporting cover in AI governance?
3 competencies are filed under it: Governance metrics and program measurement, ROI and value measurement for AI, Executive and board communication on AI risk. Each has its own page saying what it means in practice.
The competencies filed under it
- Governance metrics and program measurement
Measures whether governance works: inventory coverage, owners named, overdue reviews, incidents, approval times, not how busy the committee is.
Governance and Oversight
- ROI and value measurement for AI
Builds an honest value model: baseline, measured change, cost, risk, and the projects that should be stopped.
Business and Transformation
- Executive and board communication on AI risk
Turns technical uncertainty into a one-page decision: material risks, trends, exceptions, remediation, and what the board is being asked to accept.
Business and Transformation
Roles that ask for it
- AI Governance Manager2 of 3 competencies
- AI Program Manager2 of 3 competencies
- Chief AI Officer2 of 3 competencies
- Chief Information Officer, technology leadership edition2 of 3 competencies
- VP of AI Governance and Ethics2 of 3 competencies
- AI Adoption and Enablement Lead1 of 3 competency
- AI Product Manager, responsible product edition1 of 3 competency
- AI Risk Manager1 of 3 competency
- AI Vendor Risk Manager1 of 3 competency
- Data Governance Lead1 of 3 competency
- Operations Manager, AI-ready1 of 3 competency
- AI Incident Response Lead1 of 3 competency
- AI Security Architect1 of 3 competency
- Model Risk Manager1 of 3 competency
- Senior AI Compliance Analyst1 of 3 competency
- Chief Audit Executive, AI audit edition1 of 3 competency
- Chief Compliance Officer, AI compliance edition1 of 3 competency
- Chief Data Officer, data leadership edition1 of 3 competency
- Chief Information Security Officer, AI security focus1 of 3 competency
- Chief Privacy Officer, AI privacy edition1 of 3 competency
- Chief Risk Officer, AI risk edition1 of 3 competency
- Chief Technology Officer, AI engineering edition1 of 3 competency
Where it is taught and graded
37 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 1: Own the AI Transformation Mandate (1)
- Module 2: AI Literacy for Decision Makers (1)
- Module 4: The Economics and the Business Case (3)
- Module 8: Governance and Responsible AI (2)
- Module 10: Change Leadership and Politics (2)
- Module 11: Implementation from Pilot to Scale (2)
- Module 13: Measure, Sustain and Evolve (2)
- Module 0: Taking Command (1)
- Module 7: Agents Under Command (2)
- Module 8: The Money: Budgets, ROI, and Risk (1)
- Module 9: The Humans: Leading People Through AI Change (1)
- Module 11: Adversarial Governance (3)
- Module 13: The Capstone: The Board Audit and Viva (1)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (3)
- Module 8: Assessment and Continuous Learning (1)
- Module 11: Bonus: AI Leadership Accelerator (4)
- Module 2: Quality as Physics (1)
- Module 9: The Money of Data (1)
- Module 12: Adversarial Data Governance (1)
- Module 3: Business and Industry Representation (1)
- Module 18: Compliant Influence Architecture (1)
- Module 8: Post-Market Monitoring and Enforcement (1)
Questions
- What does executive reporting cover in AI governance?
- 3 competencies are filed under it: Governance metrics and program measurement, ROI and value measurement for AI, Executive and board communication on AI risk. Each has its own page saying what it means in practice.
- Which roles ask for executive reporting?
- 22 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
- Where is executive reporting taught and graded?
- 37 graded topics teach it across 6 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.