A workflow tested against 20 sample rows can silently time out the first time it hits a real dataset of 10,000 — most automation platforms cap how long a single execution is allowed to run.
The fix:
split large datasets into smaller batches (a few hundred items at a time) processed across multiple executions, rather than one workflow run trying to handle everything at once.
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