Your automation says "Success." Your CRM says otherwise. š
Imagine enriching 500 leads overnight. Your workflow reports 100% success. You check the CRM the next morning, and some records are missing fields, others are outdated, and a few never got updated at all.
Now what do you trust ā the workflow log or the actual data?
This is the kind of silent failure that's easy to miss until bad data reaches your sales team.
I built a practical Python example to explore how destination-state verification can catch delayed writes, partial updates, timeouts, and duplicate events ā with 12 automated tests.
I broke down the implementation, the failure scenarios, and the test results here:
š https://www.causly.in/lab/workflow-success-crm-update-failures
Curious: Do you verify what actually landed in your CRM, or do you trust the automation's success response?
Top comments (0)