Why automations fail
Most failures come from missing data, API changes, lack of validation, or not handling edge cases. Avoiding common mistakes saves hours of cleanup.
Most common mistakes
- Automating an unstable process that changes frequently.
- No duplicate control, creating repeated records.
- No logs or alerts, so issues go unnoticed.
- No limits, leading to loops or runaway executions.
- No data validation, causing bad records.
How to prevent them
1) Add validations
Check required fields before creating or updating anything.
2) Use unique identifiers
Email or external ids help prevent duplicates.
3) Log everything
Store event, time, outcome, and errors. Trigger notifications on failures.
Launch checklist
- Tested with real cases
- Retries configured
- Rollback/correction plan
- Alerts enabled
FAQ
What if my automation duplicates data?
Pause the flow, define a unique key, and add a lookup-before-create step.