AI governance

AI Governance & Responsible AI

Define the direction. Establish the decisions. Build the capability.

Connect AI ambition, adoption, governance, risk, responsible AI and assurance in one enterprise programme.

A connected enterprise discipline.

From intent to evidence
  1. 01AI strategy
  2. 02AI adoption
  3. 03AI governance
  4. 04AI risk
  5. 05Responsible AI
  6. 06Assurance

Explore our governance services

governance

AI Governance Framework Development

Create the operating model for responsible AI.

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governance

AI Risk Assessment

Turn AI uncertainty into structured risk decisions.

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governance

AI System Impact Assessment

Understand who and what an AI system may affect.

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governance

ISO/IEC 42001 AIMS Implementation & Readiness

Build a management system for accountable AI.

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governance

Generative AI Governance

Enable GenAI without losing control of data, decisions or accountability.

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governance

AI Data Governance

Create trustworthy foundations for AI.

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governance

AI Lifecycle Governance

Embed governance from concept to retirement.

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governance

Third-Party AI Governance

Manage AI risk beyond organizational boundaries.

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governance

AI Security & Privacy Assessment

Protect AI systems, data and users by design.

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governance

AI Assurance & Internal Audit

Move from policy statements to demonstrable evidence.

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governance

AI Governance Training & Awareness

Make responsible AI part of everyday decision-making.

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governance

AI Governance Maturity Assessment

Know where you are and what to improve next.

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governance

Responsible AI Framework

Translate principles into operating decisions.

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governance

AI Policy & Acceptable Use Framework

Give employees clear AI usage boundaries.

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governance

AI Inventory & Classification

Know what AI you use and what deserves attention.

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governance

AI Regulatory Readiness & Compliance

Connect applicable obligations to practical evidence.

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governance

AI Model Risk Management

Challenge assumptions throughout the model lifecycle.

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governance

AI Monitoring & Continuous Assurance

Recognize when an AI system needs intervention.

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governance

AI Incident Management

Prepare for harmful outputs and AI control failures.

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governance

AI Vendor & Foundation Model Risk Assessment

Understand dependencies behind the AI service.

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Make your next AI decision count.

Discuss your ambitions, constraints and next practical steps with MAST.

Explore the decisions behind the framework.

Responsible AI in practice

Select a stage to explore the decisions and evidence.

Assign an owner to the intended outcome, the system and the risk decision. Record who can stop or change the system.

Find your next step.