AI-Powered Retry Logic

When an automation fails, Sqare's Smart Error Recovery engine analyses the error, classifies the cause, and applies the appropriate recovery strategy automatically — no human intervention required for the majority of transient failures.

The engine handles: rate limit backoff, token refresh, malformed payload correction, timeout retries with jitter, and partial failure resumption from the last successful step.

Escalation Path

If automated recovery is not possible after the configured retry budget is exhausted, Sqare escalates the failure to your team with a structured report: what was attempted, why it failed, the suggested manual fix, and a one-click option to retry with the corrected parameters.

Custom Retry Policies

Define per-automation policies: max retries, initial interval, backoff multiplier, max interval, and a dead-letter webhook to receive all unrecoverable failures for external processing.