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Consulting engagement

AI Governance Framework

Design and implementation of a governance framework for organisations deploying AI systems, aligned with the EU AI Act, UK AI regulatory principles, and ISO 42001.

Deliverables

What you receive

  • AI system inventory and risk classification
  • Governance policy (roles, accountability, oversight)
  • Risk assessment per AI system (aligned with EU AI Act risk tiers)
  • Transparency and explainability requirements per system
  • Human oversight mechanisms
  • Monitoring and audit schedule
  • Documentation templates (model cards, impact assessments)
  • Training recommendations for teams

Engagement

Three scopes to choose from.

Starter

1-3 AI systems, basic framework

Timeline · 3 weeks

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Standard

4-10 AI systems, full framework

Timeline · 4-5 weeks

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Enterprise

10+ systems, multi-team, board-level reporting

Timeline · 6+ weeks

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Ideal client

Who this is for

Organisations using AI in decision-making, customer-facing AI products, or those preparing for EU AI Act compliance.

Confidentiality boundary

Public-safe output, private technical work.

Reports can include public-safe summaries for customers, investors, or procurement teams. The underlying evidence stays private: prompts, test sets, system diagrams, weaknesses, data samples, vendor details, and remediation plans are not published or reused.

FAQ

Frequently asked

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DPIA

A structured risk assessment for data processing activities that are likely to result in high risk to individuals, as required by UK GDPR Article 35.

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Training

Interactive sessions for teams on privacy, data protection, AI governance, or online safety topics.

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Ready to get started?

Tell us about your organisation and we will scope the right engagement for you.