Indigonix System Intelligence · RACI & Accountability
Agentic RACI Framework
Human, AI and System accountability matrix for governed agentic enterprises.
The Problem
Traditional RACI was designed for human actors only. AI agents making decisions at machine speed require a redefined accountability model.
Agentic RACI: 6 Roles
| R — Responsible (Agent) | The AI agent executing the task; defined in the Registry |
| A — Accountable (Human) | Named human principal; bears organisational responsibility |
| C — Consulted (Governance) | Policy gateway that validates every action before execution |
| I — Informed (Log) | Immutable, tamper-protected audit record of every action |
| +A — Authorising | Policy object granting the agent authority in this context |
| +A2 — Escalation | Documented human intervention triggered at governance boundary |
Traditional vs Agentic RACI
- Static project assignment → Dynamic assignment by task context
- Accountable = one person → Accountable = human + agent + system log
- Manual document audit → Audit via immutable system-generated logs
- Passive consultation → Governance layer actively enforces consultation rules
4-Step Implementation (under 4 weeks)
Task Inventory → RACI Matrix Design → Policy Object Encoding → Runtime Validation.
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