Hand the busywork to AI.

Assistants, automation and models over your own data, aimed at the manual steps that are costing you the most, with a person checking the answer.

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What we measure

  • Demos (not what we judge you on)
  • Prompts written (not what we judge you on)
  • Hours given back

15 hrsoffice time saved a week · removals firm

Someone on your team spends their day answering the same questions, reading the same documents, and typing the same things into the same systems.

  • Questions answeredDaily
  • Documents re-typedDaily
  • Hours left for the real work?Few

One client, ten weeks

Quotes out in hours, with a person checking every one.

A removals company whose office team read every quote request by hand while customers waited a day or more. We built an assistant that reads each request, asks for anything missing, and drafts the reply. Nothing reaches a customer until somebody in the office has checked it.

average time to send a quote, down from 26to send a quote
3 hrs
of office time saved each weekoffice time saved a week
15 hrs
more quotes turned into booked jobsmore quotes booked
+19%
Read the full case study
A warehouse worker scanning inventory with a handheld device

Time to send a quote

BeforeAbout 26 hours

After3 hours

What you can answer afterwards

Less typing, and answers you can check.

Every answer checked against a test set before it reaches a customer.

  • You get

    Answers from your own documents

    An assistant that reads your policies, catalogue or records and answers customers or staff with a citation to the source.

  • You get

    Manual steps done for you

    The reading, sorting, drafting and re-typing that fills a working day, handled before anyone arrives.

  • You get

    AI inside your product

    A feature your customers use, built into the website or app you already have.

  • You get

    Proof that it works

    Every answer checked against a test set before launch, and measured after it, so you know the error rate rather than hoping.

In more detail

Start with the part you need most.

  • Two colleagues at their desks wearing headsets, working in daylight

    AI assistants

    The useful ones answer from what you actually know, admit when they do not, and pass the question to a person before the customer gets angry.

  • A hand filling in a paper form beside a laptop

    Workflow automation

    Somebody in your business spends Thursday moving information from one screen to another. That is the work worth automating first.

Beams of red light fanning out across a dark background
Used with careAI is the newest of our four services and the one we are most careful with. Where simpler, ordinary software would do the job, we say so.

What we actually set up

Everything we set up, in plain view.

The same work in technical terms, so you or your developer can check it against anyone else’s quote.

  • Assistants built on the Claude API, or another model where the task calls for it
  • Retrieval over your own documents, so answers come with a source rather than from memory
  • Integrations with the systems you already run: email, help desk, CRM, spreadsheets, your own database
  • Automation of back-office steps, with a person approving anything that leaves the building
  • An evaluation set written with you, and a score before and after every change
  • Usage and cost measured per task, so you know what each answer costs
  • Data kept in your accounts, under your terms, with nothing used to train anyone else's model

FAQ

The questions we hear most.

Left alone, any model can. That is why every answer comes with its source, why anything customer-facing is checked against a test set before launch, and why a person approves anything that goes out under your name until the error rate is one you have seen and accepted.

Your turn

Bring the job your team repeats every day.

Tell us about your business in a few minutes. We will reply within a working day to say whether it is measurable, roughly what it would take, and whether we are the right people for it.