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First edition · 2026

RESAIA AI Governance Framework

A practical operating model for governing AI across strategy, safeguards, execution, assurance, and organizational enablement.

Architectural layers
4
Governance pillars
14
Guidance chapters
16

Architecture

A complete governance operating model.

  1. 01

    Governance Foundation

    Why govern?

    Sets direction, accountability, legal alignment, ethics, and enterprise risk expectations.

  2. 02

    Safeguard

    How protect?

    Protects AI systems, data, suppliers, and affected stakeholders.

  3. 03

    Operate

    What execute?

    Turns policy into repeatable portfolio and lifecycle practices.

  4. 04

    Assure

    Is it working?

    Monitors outcomes, manages incidents, and provides independent assurance.

  5. 05

    Enable

    What makes it sustainable?

    Cross-cutting capabilities: Platform & Automation, MLOps & Engineering, and Competency & Culture.

    Cross-cutting

14 governance pillars

From oversight to assurance.

Governance Foundation

Why govern?

P1

AI Strategy & Oversight

Defines strategic intent, executive accountability, decision rights, and governance forums for AI.

Aligned credentials

P3

Ethics & Responsible AI

Establishes principles, impact expectations, ethical review, and acceptable-use boundaries.

Aligned credentials

P4

Risk Management

Identifies, assesses, treats, accepts, and reports AI risk across the organization.

Aligned credentials

Safeguard

How protect?

P5

Security & Resilience

Protects AI assets and services against attack, misuse, failure, and operational disruption.

Aligned credentials

P6

Data & Privacy

Governs data provenance, quality, lawful use, access, retention, privacy, and individual rights.

Aligned credentials

P7

Supply Chain & Third-Party

Applies due diligence, contracting, evidence, monitoring, and exit controls to external AI providers.

Aligned credentials

Operate

What execute?

P8

Use Case Portfolio

Inventories, classifies, prioritizes, approves, and retires AI use cases according to value and risk.

Aligned credentials

P9

Lifecycle Management

Embeds governance checkpoints and evidence into design, development, validation, deployment, and retirement.

Aligned credentials

P10

Stakeholder & Redress

Provides engagement, feedback, challenge, complaint, appeal, and remedy mechanisms for affected people.

Aligned credentials

P11

Transparency & Explainability

Defines audience-appropriate disclosure, traceability, documentation, and explanation practices.

Aligned credentials

Assure

Is it working?

P12

Monitoring & Drift

Tracks performance, risk indicators, control health, drift, and material changes after deployment.

Aligned credentials

P13

Incident Response

Prepares teams to detect, contain, investigate, communicate, recover from, and learn from AI incidents.

Aligned credentials

P14

Audit & Assurance

Provides independent evaluation of governance design, control operation, evidence, and outcomes.

Aligned credentials

Put the framework into practice

Develop the people who will operate it.