Using AI in Zendesk QA

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Where AI genuinely helps in a quality programme, the one line worth not crossing, and what it means for a Dutch-speaking team.

Where it genuinely helps

  • Scoring mechanical categories on every conversation rather than a sample.
  • Finding conversations worth reviewing, such as ones where sentiment fell sharply.
  • Summarising long threads so a reviewer can orient quickly.
  • Spotting patterns across hundreds of conversations that nobody would find by reading.

Automatic scoring is not one global switch. A scorecard names the workspaces that autoscore with it, separately from the workspaces that review with it by hand, so it arrives exactly where you put it and nowhere else.

The second one is underrated

Reviewer time is the scarce resource. Using AI to surface the conversations most worth a human look is worth more than using it to score them.

The line

Feedback to an agent should come from a person. An automatic score with a generated comment is a machine telling somebody their work was poor, and nobody learns from that.

Use it to inform the reviewer, not to replace them.

It cannot judge correctness

Whether the answer was right needs product knowledge and context that only a colleague has. That is also the category that matters most, which limits how much of this work can be automated.

Check it before trusting it

Read conversations it scored and compare with your own reading. Where it disagrees with you consistently, the category is wrong for your context.

Tell agents what is automatic

People accept machine scoring of spelling. They resent discovering that a score they thought came from a colleague did not.

Watch for language differences

Automatic scoring performs unevenly across languages, so a multilingual team can show differences that reflect the tooling rather than the work.

For a Dutch-speaking team that is specific rather than vague. Readability is not scored in Dutch at all, and empathy, tone, solution offered and comprehension arrive only once LLM-based AutoQA is on. Compare a Dutch queue against an English one and part of the gap is the tooling.

See also

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