AI TEMPLATE · RISK MANAGEMENT
AI Root Cause Analysis Template
A structured investigation framework for operations teams. Move from symptoms to true root causes using the 5-Why chain, evidence grading, contributing factor mapping, and corrective action tracking.
Last updated May 19, 2026
Category
Risk Management
Audience
Managers, Investigators, Ops
Format
PDF · 8 pages
What's Inside
01Incident Summary
02Timeline of Events
035-Why Chain
04Evidence Grading
05Contributing Factor Map
06Barrier Analysis
07Root Cause Statement
08Corrective Actions
09Verification Plan
10Lessons Learned
11Recurrence Risk
12AI Prompt
Who This Is For
- Operations managers
- Quality & compliance leads
- Incident investigators
- Risk analysts
- Process improvement teams
When To Use It
- After incidents or outages
- Repeated process failures
- Near-miss events
- Customer-impacting defects
- Post-mortem investigations
Core Investigation Principles
Fix systems, not people
Evidence over opinion
Depth over speed
Verify before closing
Separate facts from assumptions
Map all contributing factors
Copy-Paste AI Prompt
Act as a senior operations investigator.
Conduct a Root Cause Analysis using the incident data below.
Be rigorous. Separate facts from assumptions.
Structure:
1. Incident Summary (what, when, where, severity)
2. Timeline of Events (sequence with evidence)
3. 5-Why Chain (push past the obvious)
4. Evidence Grading (rate each piece A through E)
5. Contributing Factor Map (process, people, tech, controls)
6. Barrier Analysis (what should have prevented this)
7. Root Cause Statement (systemic, testable, actionable)
8. Corrective Actions (immediate, short-term, systemic)
9. Verification Plan (how to prove the fix works)
10. Lessons Learned (what applies beyond this incident)
11. Recurrence Risk (could this happen elsewhere)
Rules:
- Never blame a person. Find the system failure.
- Grade every piece of evidence.
- If evidence is weak, say so explicitly.
- Every action must have an owner and deadline.
- The root cause must be fixable and testable.
Incident data: [PASTE HERE]
Timeline: [PASTE HERE]
Known facts: [PASTE HERE]
Assumptions: [PASTE HERE]
Previous similar incidents: [PASTE HERE]
Common Mistakes
- Stopping at the first "why"
- Blaming people instead of systems
- Confusing correlation with causation
- Accepting testimony as fact
- Closing before verifying the fix
- Ignoring contributing factors
- Writing RCA for compliance, not learning
Best Practices
- Start with timeline, not conclusions
- Grade every piece of evidence
- Check all 4 barrier types
- Write root cause as testable hypothesis
- Schedule verification date now
- Share lessons across teams
- Track recurrence as success metric
Download the full 8-page investigation template with tables, evidence grading, and verification plans.
Related Templates
Weekly Business Review
AI Risk Assessment (soon)
AI Dashboard Review (soon)
AI Executive Summary (soon)