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AI agent for no-code developers

Automation Run Failure Recovery Agent

Find failed runs quickly, fix the cause, and bring the affected records to the right state

Risk managementAutomationIT and development
See how it worksGet access
Automation Run Failure Recovery Agent: what goes in, what the agent does and what you get

What it does

An automation fails on step 4 of 6 and the record is left half updated. Nobody notices for days. This agent reads the failed-run log for the last day, groups failures by cause, such as an expired connection, a missing field or a rate limit, and finds the records left in a half-done state. It proposes a fix per cause. It replays the failed runs in a test copy after the fix and checks that the end state of each record is correct. It reports what was recovered and what needs manual work. The builder approves replaying on live data. Edge case: replaying would send a customer a second email, so the agent skips that step and marks it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueApprovedYes, continueNoNo 1 STARTS WHEN Daily check or failure alert 2 USES A TOOL Read failed runs from the log 3 DOES Group failures by cause and find records left halfupdated 4 DOES Propose a fix and the safe steps to replay 5 YOU APPROVE Builder approves the fix 6 USES A TOOL Apply the fix and replay the failed runs on a testcopy 7 CHECKS THE RESULT Do the test records end in the correct state? If not: revise the fix or the replay steps and testagain. Back to step 4. 8 YOU APPROVE Builder approves replay on live data 9 USES A TOOL Replay on live data and verify a sample 10 CHECKS THE RESULT Does the sample match the expected state with noduplicate actions? If not: stop the replay and list the records needingmanual repair. Back to step 4. 11 RESULT Recovery report
Read the steps as a list
  1. Daily check or failure alert
  2. Read failed runs from the log
  3. Group failures by cause and find records left half updated
  4. Propose a fix and the safe steps to replay
  5. Builder approves the fixThe agent waits here for your OK.
  6. Apply the fix and replay the failed runs on a test copy
  7. Do the test records end in the correct state?If not: revise the fix or the replay steps and test again. Back to step 4.
  8. Builder approves replay on live dataThe agent waits here for your OK.
  9. Replay on live data and verify a sample
  10. Does the sample match the expected state with no duplicate actions?If not: stop the replay and list the records needing manual repair. Back to step 4.
  11. Recovery report

How it decides

It groups failures by error pattern, fixes the biggest group first, and replays only the steps that are safe to repeat.

  • Replay only steps that cannot cause a duplicate message or payment
  • Fix the cause before any replay
  • Verify a sample of 10% of replayed records
  • Escalate when over 5% of the runs fail again

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Check schedule (default daily)
  • Steps safe to replay
  • Sample size for verification (default 10%)
  • Platform and log source
  • Alert channel

What keeps you in control

It always asks you first

  • Builder approves the fix
  • Builder approves live replay

Hard limits

  • Never replay a step that sends a message or payment twice
  • Never edit live records without approval

It stops when

  • Done: all affected records are correct or listed for manual work
  • Stop: the same failure repeats after the fix

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensThe log showed 63 failures overnight. Forty-one came from an expired CRM connection, 15 from a missing phone field and 7 from a rate limit. Reconnecting fixed the 41. The test replay left 4 records with the status unset, so the check failed. The agent found the status step ran before the update and reordered it. The live replay of 41 then matched, and the email step was skipped for 12 records already notified.

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