Framework
AI Governance Framework
We design governance structures that enable AI adoption while managing risk, ensuring accountability, and meeting regulatory requirements.
Framework components
- Risk classification and tiering for AI use cases.
- Accountability structures with clear roles and escalation paths.
- Model lifecycle governance from development to retirement.
- Compliance mapping to EU AI Act, sector regulations, and internal policy.
Deliverables
- AI governance charter and policy documentation.
- Risk assessment templates and decision frameworks.
- Operating model for AI oversight committees.
- Implementation roadmap with quick wins and long-term milestones.
Governance pillars
- Risk: Classification, assessment, and mitigation controls.
- Accountability: Clear ownership across business and technology.
- Transparency: Explainability, documentation, and audit trails.
- Compliance: Regulatory alignment and policy enforcement.
- Oversight: Monitoring, evaluation, and continuous improvement.
Who this is for
- Regulated industries requiring AI compliance frameworks.
- Enterprises scaling AI across multiple business units.
- Risk and compliance teams building AI oversight capabilities.
- Leadership seeking board-ready governance structures.
Why governance enables, not restricts
Many organisations view governance as a constraint on innovation. This is a mistake. Without governance, AI initiatives stall in legal review, fail compliance audits, or create reputational risk that forces retreat.
A well-designed governance framework accelerates AI adoption by providing clear guardrails. Teams know what they can build. Leadership knows what risks they carry. Regulators see an organisation that takes responsibility seriously.
Governance is not bureaucracy. It is the architecture of trust that allows AI to scale.
Regulatory landscape
The EU AI Act introduces risk-based classification requiring organisations to implement governance controls proportional to system risk levels.
Sector-specific regulations in financial services, healthcare, and critical infrastructure add additional requirements for model validation, explainability, and human oversight.
We help organisations navigate this landscape by designing frameworks that satisfy regulatory requirements while remaining practical to implement and operate.
Our approach is principle-based, not checklist-driven. We build governance that adapts as regulations evolve.
Governance FAQ
How long does framework design take?
Typically 6 to 10 weeks for initial framework design, with phased implementation following.
Do you provide templates?
Yes. We deliver policy templates, risk assessment tools, and operating model documentation ready for adoption.
How do you handle existing governance structures?
We integrate with existing risk, compliance, and data governance frameworks rather than creating parallel structures.
Is this aligned to the EU AI Act?
Yes. Our frameworks incorporate EU AI Act requirements and can be adapted for other jurisdictions.