AI governance RACI: who owns each AI decision (free template)
By Rafael · Updated · 3 min read
The short answer
An AI governance RACI shows who is Responsible (does the work), Accountable (owns the outcome), Consulted and Informed for each AI decision. The golden rule: exactly one Accountable person per task. Leadership owns policy and go-live, a named AI owner owns day-to-day AI decisions, IT runs access and tools, and an independent person keeps the audit trail.
Why a RACI matters for AI
Most AI problems aren't technical; they're ownership gaps. Who approved that tool? Who checks the chatbot's answers? Who decides when an AI agent can send emails? A RACI answers those questions before something goes wrong, and it's one of the first things a board, auditor or larger customer asks to see.
It's also the backbone of AI governance: your AI policy says what the rules are, your AI register says which tools are in use, and the RACI says who is on the hook for each.
The four roles
- Leadership: the owner, CEO or executive director, or the board for the biggest decisions.
- AI owner: one named person who owns AI decisions and the AI register.
- Compliance or advisor: compliance, legal or HR, or an outside advisor in a small organization.
- Operations or IT: the people who set up, run and secure the tools.
The golden rule: exactly one A (Accountable) per task, at least one R (Responsible), and whoever is Accountable must have the authority to act.
Free AI governance RACI template
AI GOVERNANCE RACI · [Organization] · Approved by: [name] · [date] R = Responsible · A = Accountable (one per task) · C = Consulted · I = Informed Task Leadership AI owner Compliance/advisor Operations/IT 1. Approve the AI policy A R C I 2. Define acceptable use A R C I 3. Maintain the AI register I A C R 4. Approve new AI tools and vendors I A C R 5. Configure and test AI before launch I A C R 6. Manage access and logins (SSO, MFA) I C I A/R 7. Set AI agent permissions and approvals I A C R 8. Review bias and fairness I A C R 9. Monitor AI outputs after launch I A C R 10. Train staff and volunteers I A C R 11. Respond to AI incidents I A C R 12. Verify payment requests (deepfake call-back rule) I A C R 13. Keep the audit trail and records I C A R 14. Brief leadership or the board A R C I 15. Approve launch of significant AI A R C C Rules: exactly one A per task · at least one R · the A must have authority to act. Review: when roles change, when significant AI is added, and every six months.
For small organizations
One person often wears several hats, and that's fine. Combine roles, but keep the separations that matter: leadership stays Accountable for the policy and for launching anything significant, and someone independent (an accountant, lawyer or IT provider) checks the records. Get the RACI signed off by your owner or board so everyone knows it's official.
Want your RACI filled in with your real names, alongside an AI register, tailored policy and board briefing? Start with the free AI governance kit, or see AI governance with GrowDaily.
Common questions
- What does RACI stand for?
- Responsible (does the work), Accountable (owns the outcome and signs off), Consulted (gives input before) and Informed (told after).
- Can two people be Accountable for the same AI task?
- No. Shared accountability usually means no accountability. Pick one person per task; others can be Responsible or Consulted.
- Who should own AI in a small business or nonprofit?
- Usually an operations or IT lead, with leadership accountable for the policy and big decisions. What matters most is that one named person keeps the AI register and approves new tools.
- How often should we update the RACI?
- When roles change, when you add significant AI such as a customer chatbot or an agent, and at your six-month AI governance review. Use the [AI governance checklist](/learn/ai-governance-checklist) to check the rest.