Governance guide
AI Use-Case Triage: When Should a Process Use AI?
A practical framework for deciding whether a business process should stay manual, use rules, add AI assistance, or be automated.
Last updated
2026-09-14
Why triage matters
AI is one possible approach to a business problem, not the default solution. A rules-based or manual process may be safer and more effective when the inputs are stable, the volume is low, or the consequences are high.
Triage turns an enthusiasm for AI into a decision that can be explained. It connects the expected benefit to the data, risk, review effort, and operating capacity available.
What a good triage record contains
Record the problem, desired outcome, current approach, candidate options, risks, human review needs, and reason for the recommendation. State what evidence would cause you to change the decision.
Iteretta's Compliance & AI Governance, AI Workflow Automation, and AI Product Management labs practise this decision from different professional perspectives.
The four-way approach test
- 01Outcome: define the decision or work to improve.
- 02Repeatability: check whether the inputs and steps are stable enough to systematise.
- 03Risk: assess the consequence of an inaccurate or delayed result.
- 04Approach: choose manual, rules, AI-assisted, or automated work with a review boundary.
Common questions
Should every repetitive task be automated with AI?
No. Repetition alone is not enough. Consider process stability, data quality, risk, review capacity, expected benefit, and whether simpler rules or manual work are more appropriate.
What is useful portfolio evidence for AI triage?
A bounded decision brief can show the problem, options considered, risk level, recommended approach, review boundary, and next test.
This resource is maintained by Iteretta. It is educational information, not legal, financial, medical, employment, or other professional advice.