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AI agent for chief operating officers

Customer Complaint Root Cause Review Agent

Turn a month of customer complaints into a ranked list of operational root causes and proposed fixes

AnalysisOperationsManagementExecutives and strategy
See how it worksGet access
Customer Complaint Root Cause Review Agent: what goes in, what the agent does and what you get

What it does

Service teams resolve complaints case by case, so the same late delivery or damaged order keeps happening. This agent runs a monthly review across complaints, returns and service notes. It groups cases by product, site, carrier and stated reason, then looks up the matching operational records, such as shipment scans, pick errors and production lots, to find the likely root cause. It ranks causes by number of cases and refund cost. After grouping, it checks a sample of cases by hand-reading the notes to confirm the grouping is right. If more than one in five is misgrouped, it refines the grouping rules and runs again. It drafts a short list of fixes with suggested owners. The COO decides which fixes go ahead and who owns them. Edge case: one large customer filed 40 complaints about a single shipment, so it counts that as one event.

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, continueYes, continueApprovedNoNo 1 STARTS WHEN Service month closes 2 USES A TOOL Export complaints, returns and refunds for the month 3 DOES Group cases by product, site, carrier and reason 4 USES A TOOL Look up shipment, pick and lot records for eachgroup 5 CHECKS THE RESULT Does a 20-case sample confirm the grouping is rightat least 80% of the time? If not: refine grouping rules from the misgrouped cases.Back to step 3. 6 DOES Rank root causes by case count and refund cost 7 CHECKS THE RESULT Is each top cause backed by an operational record,not just the customer's words? If not: search further records or mark the cause asunconfirmed. Back to step 4. 8 USES A TOOL Draft fix proposals with suggested owners 9 YOU APPROVE COO approves fixes and assigns owners 10 RESULT Root cause report and fix tracker
Read the steps as a list
  1. Service month closes
  2. Export complaints, returns and refunds for the month
  3. Group cases by product, site, carrier and reason
  4. Look up shipment, pick and lot records for each group
  5. Does a 20-case sample confirm the grouping is right at least 80% of the time?If not: refine grouping rules from the misgrouped cases. Back to step 3.
  6. Rank root causes by case count and refund cost
  7. Is each top cause backed by an operational record, not just the customer's words?If not: search further records or mark the cause as unconfirmed. Back to step 4.
  8. Draft fix proposals with suggested owners
  9. COO approves fixes and assigns ownersThe agent waits here for your OK.
  10. Root cause report and fix tracker

How it decides

It ranks causes by case count and refund cost, and counts repeated complaints about one event as a single event.

  • Count repeated complaints about one shipment or order as one event
  • Rank by refund cost when two causes have similar case counts
  • Mark a cause unconfirmed when no operational record supports it
  • Re-check last month's fixes and report whether their cause dropped

Make it yours

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

  • Minimum cases for a monthly run (default 30)
  • Sample size for grouping check (default 20)
  • Grouping fields used
  • How many causes to report (default top 5)

What keeps you in control

It always asks you first

  • Which fixes go ahead
  • Assigning owners across departments

Hard limits

  • Never contacts customers
  • Never changes cases in the service system
  • Removes customer names from the report

It stops when

  • Done: top causes confirmed and fix list approved
  • Stop: fewer than 30 cases in the month, so it rolls them into next month

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 happensIn September, 612 complaints grouped into 14 causes. The sample check found 6 of 20 misgrouped because 'late' and 'missing' were mixed; it split the rule and regrouped. The top cause, 118 cases and $21,400 in refunds, traced to one carrier's Denver hub missing scans. The COO approved a carrier review owned by the logistics director.

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