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AI agent for chief digital officers

Data Quality Issue Triage Agent

Every data quality report reproduced, sized and routed to the right owner

Quality controlAutomationIT and development
See how it worksGet access
Data Quality Issue Triage Agent: what goes in, what the agent does and what you get

What it does

Data problems such as duplicate customers or wrong product codes get reported in chats and emails and then forgotten. This agent collects reports from your issue form and from automated data quality rules. For each one it checks the data catalog to find the dataset and its owner, then reproduces the issue with a query to measure how many records are affected. If it cannot reproduce the issue, it asks the reporter for an example record and tries again. It traces lineage to see which reports and processes use the data and rates impact from that. It then drafts an issue for the right owner with the query, the count and the impact. You approve before issues are assigned. Edge case: an issue that starts in a source system is routed to the system owner, not the warehouse team.

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
Yes, continueApprovedNo 1 STARTS WHEN New data quality report or failed rule 2 USES A TOOL Look up the dataset and owner in the catalog 3 USES A TOOL Run a query to reproduce and count affected records 4 CHECKS THE RESULT Was the issue reproduced? If not: ask the reporter for an example record andrerun. Back to step 3. 5 USES A TOOL Check lineage for downstream reports and processes 6 DOES Rate impact and trace whether the fault is at source 7 YOU APPROVE Data governance lead approves assignment 8 RESULT Issue assigned to the owner with evidence
Read the steps as a list
  1. New data quality report or failed rule
  2. Look up the dataset and owner in the catalog
  3. Run a query to reproduce and count affected records
  4. Was the issue reproduced?If not: ask the reporter for an example record and rerun. Back to step 3.
  5. Check lineage for downstream reports and processes
  6. Rate impact and trace whether the fault is at source
  7. Data governance lead approves assignmentThe agent waits here for your OK.
  8. Issue assigned to the owner with evidence

How it decides

Impact is rated by record count and by how many downstream reports or processes depend on the dataset.

  • High impact when a finance or regulatory report uses the data
  • Route to the source system owner when the error exists at source
  • Merge reports that describe the same issue

Make it yours

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

  • Intake channels to monitor
  • Impact rating rules
  • Daily or hourly run
  • Escalation contacts

What keeps you in control

It always asks you first

  • Assigning issues to owners
  • Escalating high-impact issues

Hard limits

  • Read-only access to data
  • Never edits or deletes records

It stops when

  • Done: issue reproduced and assigned or closed as not reproducible
  • Stop: no owner recorded for the dataset

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 happensOn April 2 an analyst at Copperline Retail reported duplicate customers. The first query found none, so the reproduce check failed and the agent asked for an example. With the example it found 3,412 duplicates caused by trailing spaces in email addresses at source. Lineage showed the monthly revenue report used the table, so it rated the issue high. The data lead approved routing it to the CRM owner.

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