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AI Governance Frameworks
Design and refinement of internal AI governance frameworks aligned with regulatory expectations, ethical principles, and operational realities.
Governance structures tailored to organisational size, sector, and risk profile.
Request AssessmentWhat We Deliver
- Internal governance structure design
- Role and responsibility mapping
- Oversight and review mechanisms
- Documentation standards and templates
- Escalation and exception procedures
- Governance maturity assessment
Who This Is For
- AI providers operating in the EU
- UK organisations with EU exposure
- In-house compliance teams
- Regulated sector deployers
Deliverables
- Structured legal memorandum
- Risk scoring matrix
- Implementation roadmap
- Executive summary briefing
Focus Areas
Governance structures designed for practical implementation and regulatory defensibility.
Internal Roles
Clear definition of AI governance roles, responsibilities, and accountability structures.
Oversight Mechanisms
Design of review processes, approval workflows, and monitoring procedures.
Documentation Practices
Standards for AI system documentation, decision records, and audit trails.
Escalation Processes
Procedures for risk escalation, incident response, and governance exceptions.
Discuss Your Governance Requirements
Confidential inquiries welcome. All communications are handled in accordance with applicable data protection standards.
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