AI Governance

AI Governance & Compliance

AI governance frameworks and compliance programmes that let you adopt AI confidently — with clear accountability, documentation, and regulatory alignment.

25+
Governance Frameworks Built
100%
Regulation-Aligned Design
10+
Industries Covered
100%
Board-Ready Documentation
AI Governance

Adopt AI With Confidence, Not Just Enthusiasm

AI governance isn't bureaucracy for its own sake — it's what lets your organisation adopt AI at scale without a single bad deployment creating outsized legal, reputational, or ethical risk. We build governance frameworks that are practical enough for teams to actually follow, not shelf-ware policy documents.

  • AI governance framework and policy design
  • Risk classification and approval workflows for new AI use cases
  • Model documentation and explainability standards
  • Regulatory compliance mapping (EU AI Act, sector-specific rules)
  • AI ethics review board design and facilitation
  • Ongoing governance programme management support
Our Approach

Governance That Teams Actually Follow

Governance frameworks fail when they're too heavy for teams to realistically comply with. We design risk-tiered approval processes — light-touch for low-risk AI use cases, rigorous for high-stakes ones — so governance scales with actual risk rather than blocking everything equally.

Risk-Tiered Framework

Governance intensity matched to actual risk level of each AI use case.

Regulatory Alignment

Frameworks mapped explicitly to EU AI Act and relevant sector regulation.

Clear Accountability

Defined ownership and approval workflows for every AI initiative.

Practical Documentation

Model documentation standards designed for real audit and explainability needs.

Delivery Process

From Policy Design to an Operating Governance Programme

We design governance frameworks collaboratively with legal, compliance, and technical stakeholders, then support the transition to it becoming a lived operating practice.

  • Assess current AI initiatives and organisational risk exposure
  • Design risk-tiered governance framework and approval workflows
  • Map framework against relevant regulatory requirements
  • Define documentation and explainability standards
  • Support rollout and ongoing governance programme operation
FAQs

Frequently Asked Questions

Yes, even using third-party AI tools carries risk around data handling, output accuracy, and compliance — governance should cover how AI tools are evaluated and used, not only custom-built models.

The EU AI Act introduces risk-based obligations that vary significantly depending on your AI use case's risk classification — we assess your specific use cases against the Act's categories and build compliance requirements into your governance framework.

A well-designed risk-tiered framework should barely slow low-risk use cases while adding appropriate rigour only to high-stakes ones — the goal is proportionate governance, not blanket friction.

This varies by organisation size and structure — we help define clear ownership during the framework design, often involving a cross-functional group spanning legal, compliance, technology, and business stakeholders.

Adopt AI at Scale Without Unmanaged Risk

Book a free consultation to discuss AI governance for your organisation.