Responsibility Assignment Matrix
A tool (e.g., RACI) that clarifies roles and accountabilities for each governance activity - who’s Responsible, Accountable, Consulted, and Informed.
A governance artifact that maps activities (risk assessment, validation, monitoring) to stakeholder roles - identifying which team performs the work (Responsible), which role signs off (Accountable), who provides input (Consulted), and who receives updates (Informed). RACI matrices ensure clear ownership, avoid gaps or overlaps, and facilitate smoother governance execution.
A technology division’s AI governance RACI chart assigns: Risk Assessment (R: Risk Team, A: Chief Risk Officer, C: Data Science Leads, I: Business Unit Heads); Model Validation (R: Validation Team, A: Head of Compliance, C: External Auditors, I: Data Scientists). This clarity streamlined handoffs and reduced review delays by 30%.

We help you find answers
What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
Research, insights, and updates
Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.





