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Applied AI

Support questions answered before they become tickets

A retrieval assistant on the help centre and inside the product, grounded in your own articles.

The problem

Ticket volume grows with customers, not with complexity. A large share of it is the same twenty questions, answered by people who could be doing harder work.

Approach

How we would approach it

01

Inventory the help centre, policy documents and the last six months of resolved tickets

02

Index with permissions attached, so internal pricing never surfaces to a customer

03

Answer only from retrieved text, with a link to the article the answer came from

04

Decline below a relevance threshold and offer a person rather than improvising

05

Report every unanswered question back as a content backlog

Measures

What we would measure

Agreed at the start, reported against honestly. If a measure is not worth arguing about now, it is not worth reporting later.

  • Share of sessions resolved without a ticket
  • Rate at which the assistant declines
  • Questions with no source content
  • Handoff rate and post-handoff resolution time

Capabilities involved

What usually goes wrong

If the knowledge base is stale or contradicts itself, fix that first. A retrieval system cannot resolve a contradiction; it will confidently pick one side.

Next

Have something worth building?

Tell us the constraint you are working against. If we are not the right people for it, we will say so.

Or write to connect@jannex.in