DATA OPS

AI Triage of Quarantined Reverse-ETL Rows

An agent reviews quarantined rows, classifies each failure into fixable versus permanent, repairs the safe ones, re-syncs them, and opens a Linear ticket summarizing the systemic…

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule triggers triage run
  • ActionRead open quarantined rows from BigQueryGoogle BigQueryBigQuery
  • LogicAgent classifies and repairs rows into fixed vs unresolvedOpenAI
  • ActionRe-sync repaired records to HubSpotHubSpotHubSpot
  • ActionOpen Linear ticket summarizing root causesLinearLinear
  • OutputPost recovery summary and ticket link to SlackSlack

What it does

Quarantine tables fill up fast and rarely get reviewed. This agent-driven workflow reads the day's quarantined rows, reasons about why each one failed, and sorts them into categories: trivially fixable (normalize a phone number, trim whitespace), needs-human, and permanently invalid. It repairs the safe class, re-attempts the sync for those, and files a structured ticket for the patterns a human should fix upstream.

When to use it

Use it once a writeback guard is running and quarantine volume is growing. It turns a stagnant reject pile into recovered records plus an actionable upstream backlog, instead of leaving operators to triage by hand.

How it works

  1. 1A schedule triggers a daily triage run.
  2. 2Read all open quarantined rows from BigQuery.
  3. 3The agent classifies and repairs each row, producing fixed records and an unresolved set.
  4. 4Repaired records are re-synced to the CRM destination.
  5. 5The agent opens a Linear ticket summarizing recurring root causes and the unresolved set.
  6. 6A Slack note links the ticket and reports recovery counts.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect HubSpotCRM, deals, marketing, support.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect OpenAIModels, embeddings, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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