100×worker · task analysis

Can AI Handle Complaints?

By Hendrik De Winne Last updated: August 10, 2026 Lees dit in het Nederlands

Partly Partly. AI can categorize complaints, summarize them, and draft a response based on your complaints procedure and past cases. Judging the complaint, deciding on compensation, and handling escalations remain human tasks. Use AI as a tool inside the process, not as the decision-maker. Final responsibility for the outcome stays with you.

How to do it

Start by feeding the AI tool the complaint text along with relevant case details: the customer's message, order or ticket number, and any earlier correspondence you have on file. Ask it to categorize the complaint by type, urgency, and sentiment, using the labels your team already works with. This step alone saves time on triage, especially when complaint volume is high.

Once categorized, ask the model for a summary of the issue and a draft response based on your written complaints procedure. Give it the procedure as context, not as something it should guess at. A good draft covers the facts, references the relevant policy, and proposes a next step, but it will not know your company's unwritten exceptions or the customer's full history unless you provide that information explicitly.

Use the draft as a starting point, not a final answer. Read it against the actual case, adjust the tone, verify any numbers or policy references, and add the personal detail that makes the reply feel like it came from someone who read the complaint. Then send it through your normal channel and log the outcome, so patterns across complaints (anonymized) can feed into reporting later.

Step by step

Collect the complaint and related case details: message, order or ticket number, prior contacts.
Have AI categorize the complaint by type, urgency, and sentiment using your internal labels.
Ask for a summary and a draft response based on your written complaints procedure.
Check the facts, tone, and any compensation proposal before sending anything.
Adjust the draft to the specific case and the right personal tone.
Log the outcome and use anonymized patterns for reporting.

Where it breaks down

AI does not automatically know the full context of a customer relationship, particularly if earlier contacts live in systems you have not connected to the tool. For complaints involving strong emotion, legal exposure, financial compensation, or reputational risk, a person needs to weigh the full situation and own the decision. Language models can also misquote a policy or suggest compensation that does not match your internal rules, so you check facts and figures before anything goes out.

There is also a data handling issue. Customer names, order numbers, and other personal details should not end up in a public chatbot without safeguards. Use a tool with clear data processing terms, or strip identifying details before you paste a complaint in for drafting.

A prompt to start with

Draft a complaint response

Here is a customer complaint: [PASTE COMPLAINT TEXT]. Relevant background: [ORDER NUMBER, PRIOR CONTACT, RELEVANT POLICY]. Categorize this complaint by type, urgency (low/medium/high), and sentiment. Then draft a response following this procedure: [PASTE YOUR COMPLAINTS PROCEDURE OR RELEVANT POLICY SECTION]. Keep the tone [DESIRED TONE, e.g. apologetic but professional]. Do not propose compensation figures unless they are stated in the procedure above.

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Frequently asked questions

Can AI decide whether a complaint is valid?

No, not reliably. AI can flag inconsistencies, summarize the case, and point to the relevant policy section, but deciding whether a complaint is justified requires weighing evidence, context, and often judgment calls that are not written down anywhere. That decision, and the responsibility that comes with it, stays with a person on your team.

Is it safe to paste customer data into an AI tool?

Only if the tool has clear terms on how it processes and stores data, and ideally does not use your input to train its models. If you are unsure, anonymize names, order numbers, and other identifying details before entering the complaint text. Check your organization's data policy before adopting this for regular use.

Which complaints should never go through AI drafting?

Complaints involving legal threats, safety incidents, significant financial claims, or a customer who is already escalating (for example, threatening to go public or involve a regulator) need direct human handling from the start. AI drafting works best for routine, well-documented complaint types where the procedure is clear and the stakes are lower.

Sources

This article was drafted with AI assistance and editorially reviewed.