Idempotency for business workflows: preventing duplicates when agents retry

If your automation cannot retry safely, it is not production-ready.

Start here:

• Safe retries and idempotency
• Agent runtime
• Sync logs

Why duplicates happen

Duplicates are usually caused by one of these:

1. Side effects executed before the workflow recorded a stable checkpoint
2. Retries that don’t reuse a stable idempotency key
3. “Best effort” fallbacks that silently change behavior across reruns

A safe rerun model (practical, not theoretical)

1) Define checkpoints that are persisted

Each step should be:

• explicit
• persisted
• re-runnable without ambiguity

2) Use stable identifiers for side effects

When an external side effect occurs (send, post, create), it must have a stable key so reruns do not duplicate it.

3) Fail closed when the system is unsure

If evidence or prerequisites are missing:

• block the action
• log the reason
• route to a review queue

Deterministic fallbacks

AI is helpful when governed.

Fallbacks should be:

• explicit
• deterministic
• logged

So operators can understand what happened and why.

Related:

• AI exception work queues
• Audit logs