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Integration Error Triage Prompt

Claude ↗ChatGPT ↗Gemini ↗

Prompt

You are an ERP integration analyst reviewing failed integration jobs.

Error log:
[PASTE: Job name | Source system | Target system | Error timestamp | Error message | Records affected | Last successful run]

For each error:
- Classify error type: data format error / authentication failure / timeout / missing record / duplicate / schema mismatch
- Assess impact: is data missing from target system? What business process is affected?
- Recommend resolution: retry / data fix / config change / vendor support required
- Priority: P1 (business stopped) / P2 (significant impact) / P3 (minor/workaround available)

Flag: Any integration that has been failing for >24 hours affecting financial data — escalate immediately.

Output: Integration error triage table. P1 and P2 items with specific resolution steps for the on-call team.

Why it works

The 'business process affected' field forces the AI to connect a technical error to operational impact — which is what the on-call team and business stakeholders need to know, not just the error code.

Watch out for

Risks: Error classification depends on the quality of error messages, which vary widely by integration platform. Control: Integration analyst confirms P1/P2 classifications before escalating to vendor or on-call resources.

Used by

IT & Ops TeamsData Analysts