AI Strategy & Oversight
Defines strategic intent, executive accountability, decision rights, and governance forums for AI.
Aligned credentials
First edition · 2026
A practical operating model for governing AI across strategy, safeguards, execution, assurance, and organizational enablement.
Architecture
Why govern?
Sets direction, accountability, legal alignment, ethics, and enterprise risk expectations.
How protect?
Protects AI systems, data, suppliers, and affected stakeholders.
What execute?
Turns policy into repeatable portfolio and lifecycle practices.
Is it working?
Monitors outcomes, manages incidents, and provides independent assurance.
What makes it sustainable?
Cross-cutting capabilities: Platform & Automation, MLOps & Engineering, and Competency & Culture.
Cross-cutting14 governance pillars
Why govern?
Defines strategic intent, executive accountability, decision rights, and governance forums for AI.
Aligned credentials
Tracks obligations and translates legal, regulatory, contractual, and policy requirements into controls.
Establishes principles, impact expectations, ethical review, and acceptable-use boundaries.
Aligned credentials
Identifies, assesses, treats, accepts, and reports AI risk across the organization.
How protect?
Protects AI assets and services against attack, misuse, failure, and operational disruption.
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Governs data provenance, quality, lawful use, access, retention, privacy, and individual rights.
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Applies due diligence, contracting, evidence, monitoring, and exit controls to external AI providers.
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What execute?
Inventories, classifies, prioritizes, approves, and retires AI use cases according to value and risk.
Embeds governance checkpoints and evidence into design, development, validation, deployment, and retirement.
Provides engagement, feedback, challenge, complaint, appeal, and remedy mechanisms for affected people.
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Defines audience-appropriate disclosure, traceability, documentation, and explanation practices.
Is it working?
Tracks performance, risk indicators, control health, drift, and material changes after deployment.
Prepares teams to detect, contain, investigate, communicate, recover from, and learn from AI incidents.
Aligned credentials
Provides independent evaluation of governance design, control operation, evidence, and outcomes.
Develop the people who will operate it.