AI & Governance
AI Governance Readiness Assessment
AI adoption is accelerating across the organization while ownership, controls and regulatory exposure remain unclear. Executives cannot state with confidence how AI decisions are governed.
Objective
Establish an independent, evidence-based view of AI governance maturity and define the shortest credible path to a governed, scalable AI capability.
Scope
- AI strategy and use-case portfolio
- AI operating model and decision rights
- Risk classification and lifecycle controls
- Data, security and architecture foundations
- EU AI Act and ISO/IEC 42001 alignment
Activities
- Executive and practitioner interviews
- AI use-case inventory and risk classification
- Governance, control and documentation review
- Maturity assessment against a structured model
- Gap analysis and prioritized roadmap definition
Deliverables
- Executive summary and maturity scoring
- AI use-case inventory with risk classification
- Governance gap analysis
- Target AI operating model outline
- Prioritized 12-month roadmap with effort indication
Outcomes
- A defensible position on AI risk for the board
- Clear ownership of AI decisions and controls
- Faster approval path for low-risk use cases
- A credible route to ISO/IEC 42001 and EU AI Act readiness
Ideal client
Organizations with active AI initiatives across multiple functions and an executive sponsor accountable for AI risk.
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