Use case / 10

Customer service and support

The same questions tie up your best people. The rest is exactly the part no system should take over.

What people search for: automate customer service, take load off support

The situation

  • Eighty percent of enquiries are five questions that come back every week.

  • The answer sits in an email from two years ago.

  • Anyone new in service asks a colleague on every second case.

What we build

  1. / 01

    The recurring cases first

    We count which questions actually arrive, then build. Not the other way round. Five well-answered cases take more load off than fifty half-answered ones.

  2. / 02

    Answers from your material

    The basis is your documents, not a language model's world knowledge. Every answer carries its source so service can check rather than trust.

  3. / 03

    A handover that works

    When it hands over, the whole case goes with it: what was asked, what was answered, what is open. A customer who has to tell the story twice is angrier than before.

What we do not automate

The most honest part of any project. On the left, what a system can take over. On the right, what stays with a person.

The system handles itA person keeps it
Recurring questionsAnswer from approved materialAnswer when the source gives nothing
ComplaintsRecord fully, document, pass onPromise goodwill or a refund
Contractual mattersPoint to the version in forceInterpret deadlines and claims itself
DisclosureAppear recognisably as an AI assistantCarry a name that suggests a person

Common questions

Why does a chatbot rank so low with you?
Because it is rarely the biggest lever and almost always the first thing requested. A chatbot is visible, so it gets asked for. Measured in hours saved, the inbox, quoting and document processing usually sit well ahead of it. If service is your bottleneck, the order is of course different.
Do we have to disclose that it is not a person?
Yes, as soon as it is not obvious that someone is talking to a system. The EU AI Act sets that out as a transparency duty in Article 50. In practice: a recognisable name, a notice on first contact, and a visible route to a human.
What if the assistant says something wrong?
There are two safeguards: it only answers from approved material, and every answer carries its source. If it finds nothing, it hands over. On top of that you see which questions went unanswered, and that list tells you what belongs in the material next.

Where to start

Hand off the routine

For companies whose teams do the same motions every day.