Who is accountable for AI decisions, models, applications and agents?
The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.
ADVISORY · AI GOVERNANCE
Govern AI as an enterprise system, not a policy document.
Effective AI governance connects principles to ownership, decision rights, risk classification, lifecycle controls, evidence and escalation. It must be usable by product, technology, risk, security, legal and business teams.
ANSWER FIRST
What this advisory addresses.
Effective AI governance connects principles to ownership, decision rights, risk classification, lifecycle controls, evidence and escalation. It must be usable by product, technology, risk, security, legal and business teams.
EXECUTIVE QUESTIONS
Questions the engagement should resolve.
How should AI systems be classified by impact, autonomy and risk?
The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.
Which controls are mandatory before deployment and during operation?
The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.
What evidence should leadership, risk functions and auditors expect?
The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.
TYPICAL OUTCOMES
Useful outputs, not shelfware.
Scope is tailored to the decision and operating context. Typical outcomes include:
- AI governance operating model
- Roles, committees and decision rights
- Risk-tiering and lifecycle control framework
- Policy and standards architecture
- Evidence, monitoring and escalation model
ENGAGEMENT OPTIONS
Focused ways to engage.
AI governance maturity assessment
Independent analysis, challenge and practical recommendations aligned to the business context.
Responsible AI framework design
Independent analysis, challenge and practical recommendations aligned to the business context.
Governance operating-model design
Independent analysis, challenge and practical recommendations aligned to the business context.
AI policy and standards architecture
Independent analysis, challenge and practical recommendations aligned to the business context.
Control and evidence framework
Independent analysis, challenge and practical recommendations aligned to the business context.
CONNECTED EXPERTISE
Related perspectives.
RESEARCH
Independent analysis on AI governance, Responsible AI and management systems.
The research library is published separately under /research/ using WordPress.
INDEPENDENT ADVISORY
Complex technology. Clearer risk decisions.
For AI strategy, governance, Agentic AI, security, assurance or cyber-risk requirements, describe the decision you are facing and the context around it.