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Products

We carry the pager for our own advice

Two products we build and run ourselves. Running them keeps us honest about what we advise, because the wrong answers and the model bills are ours to deal with.

Customer Support · live

Answers from your own docs. For support teams drowning in questions the docs already answer.

What it does

Chat over your own knowledge base. When it isn’t sure enough, it hands off to a person instead of guessing, and every answer cites where it came from.

What it includes

  • Answers from your content
  • Hand-off to a person
  • Confidence limits
  • Sources cited on every answer
  • Conversation analytics

What we can point at

Answering from our own documentation in production, with citations on every reply.

Travel Assistant · live

Finds the trip, then hands it over. For operators whose booking flow loses people mid-journey.

What it does

Travellers find trips by chatting with your own catalogue: tours, packages and day-by-day itineraries in one thread, each linking straight into your booking flow. Quotes, visas and custom plans go to your team through a tracked hand-off instead of a guess.

What it includes

  • Finding trips in conversation
  • Day-by-day itineraries in chat
  • Tracked hand-off to your team
  • Links into your booking flow
  • Tour and package recommendation

What we can point at

Live with one travel client, answering from their catalogue and checking every figure against source data before a reply is shown.

Appu chat: asked about women-only tours to Bhutan, it replies with the 8-day Thunder Dragon Kingdom tour at 39,800 per person, the same figures as the tour page.
From here

Three ways on. Depending on how close one of these is.

See one in use

A walkthrough on real questions, including what it does when it doesn’t know the answer.

Ask for a walkthrough

Start from a working product

If one is close to what you need but not quite it, starting from something that runs usually beats starting from nothing.

Tell us what’s different

Build something of your own

The same engineering, applied to your data and your customers, is what our AI practice does.

See how we build AI
Get started

Tell us what you’re trying to build. We’ll tell you where we’d start.

Bring an idea, a stalled project, or a system that has outgrown itself.

Send us a brief

The problem, what you have tried, and what success looks like. A few lines is enough to start.

What happens next

  1. 01Reply within one business dayFrom one of our engineers.
  2. 02First call: 30 minutes, no deckA working call about the problem. We ask questions rather than present slides.
  3. 03An honest answerWhere we would start, or, if we are not the right team, who might be.