Hi everyone,
I'm using a Dataverse Prompt Column in a model-driven app to generate an executive summary for Opportunity Candidate records.
The prompt column works correctly when records are updated individually. However, I'm seeing inconsistent behavior when attempting to trigger regeneration across many records.
Environment
- Dataverse Prompt Column
- Model-driven app
- Opportunity Candidate table
- On-demand background workflow that updates the Notes Summary field by appending a space to force prompt re-execution
- Prompt column execution enabled
What I'm seeing
When I update a single record:
- Workflow completes successfully
- Prompt column regenerates successfully
- Summary is generated as expected
When I update multiple records:
- Workflow jobs complete successfully
- Notes Summary is updated successfully
- Prompt column frequently returns "AI field generation failed"
What's interesting is that if I later rerun the workflow on one of the failed records individually, the prompt column often generates successfully.
Troubleshooting performed
- Confirmed the workflow itself completes successfully.
- Confirmed the Notes Summary field is actually changing.
- Confirmed the prompt column executes when the field changes.
- Tested records with:
- Blank Notes Summary
- Large Notes Summary
- Minimal Notes Summary
- Individual reruns typically succeed.
- Failures seem much more common when many records are updated within a short period.
Question
Has anyone experienced Prompt Column generation failures when triggering regeneration across many records at once?
Are there known:
- Throttling limits?
- Concurrency limits?
- Queue/capacity limits for Prompt Column execution?
- Best practices for bulk regeneration after making prompt changes?
I'm trying to determine whether this is expected behavior for Prompt Columns under load or if there is a recommended approach for refreshing AI-generated values on a large set of existing records.

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