Skip to content
Classified Intelligence
Version 2025-09-22 By Spencer Brawner

A Practical AI Governance Framework for SaaS

AI governance SaaS Framework Risk management Controls
TL;DR

AI governance aligns roles, risk, controls, and assurance for systems using ML/LLMs. A practical framework uses one policy backbone, clear accountability, risk taxonomy, change gates, human oversight, logging, incident handling, and continual improvement. It should map to ISO 42001 and be informed by NIST AI RMF.

Section 01 // Key Facts

Key Facts

5 facts documented

  • Governance assigns accountable roles and decision rights for AI systems.

    [1]

  • Risk management identifies hazards and treatments with traceable decisions.

    [1]

  • Controls include testing, oversight, logging, and deployment approvals.

    [1]

  • Continual improvement requires monitoring, reviews, and CAPA.

    [1]

  • Using recognized frameworks supports assurance and auditability.

    [2]
Section 02 // Implementation

Implementation Steps

5 steps
  1. 01

    Policy & roles → AI policy, RACI.

  2. 02

    Risk process → risk register, decisions, exceptions.

  3. 03

    Change & testing → gated releases, test logs.

  4. 04

    Oversight & logging → oversight records, audit logs.

  5. 05

    Assurance loop → reviews, metrics, CAPA.

Section 03 // Glossary

Glossary

6 terms
Governance
System of policies, processes, and controls that direct and oversee AI activities
Decision rights
Authority to make choices about AI system design, deployment, and operation
Human oversight
Human involvement in AI system operations to ensure appropriate outcomes
Exception
Approved deviation from standard governance processes or controls
Assurance
Confidence that AI systems operate within defined parameters and controls
Auditability
Ability to examine and verify AI governance processes and decisions
Section 04 // References

References

2 sources
  1. [1]
    ISO 42001 AI Management Systems Standard https://www.iso.org/standard/78380.html
  2. [2]
    NIST AI Risk Management Framework https://www.nist.gov/itl/ai-risk-management-framework
Section 05 // Facts

Machine-Readable Facts

3 claims 
[
  {
    "id": "f-roles",
    "claim": "AI governance requires clear roles and decision rights for AI systems.",
    "source": "https://www.iso.org/standard/78380.html"
  },
  {
    "id": "f-controls",
    "claim": "Governance embeds controls such as testing, oversight, and logging.",
    "source": "https://www.iso.org/standard/78380.html"
  },
  {
    "id": "f-improve",
    "claim": "Continual improvement is a core governance requirement with reviews and CAPA.",
    "source": "https://www.iso.org/standard/78380.html"
  }
]

// END OF DOCUMENT //