Using AI Assistance in Support Print

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Where it helps and where it does not.

WHAT IT CAN DO WELL

Draft replies for a person to review Summarise long ticket histories Suggest relevant documentation Categorise tickets Translate

WHAT IT DOES BADLY

Anything requiring certainty about your specific systems Judgement about exceptions Emotional situations

WHY CERTAINTY IS THE PROBLEM

It produces confident answers that are wrong, and customers act on them.

WHAT TO DO ABOUT IT

Keep a person between the output and the customer.

WHAT REVIEWING SHOULD CHECK

Factual accuracy Whether it addressed what was asked Tone

WHAT TO NEVER SEND UNREVIEWED

Anything about billing, security or data.

WHAT TO BE CAREFUL WITH

Sending customer data to an external service.

WHAT TO ESTABLISH

What the provider does with it, and whether you are permitted to send it.

WHAT TO REDACT

Anything identifying, where possible.

WHAT TO MEASURE

How often drafts are accepted unchanged.

WHAT A LOW RATE MEANS

It is not saving time.

WHAT A HIGH RATE MIGHT ALSO MEAN

Reviewers are not reading carefully.

WHAT TO CHECK

Quality, independently of acceptance.

WHAT TO TELL CUSTOMERS

Whether they are speaking to a person, honestly.


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