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%.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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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.
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