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Applied artificial intelligence

AI

AI is useful when it solves something concrete and measurable: reading a document, classifying a request, answering a recurring question. That's always where we start, not from the technology. If a conventional automation would do, we'll say so.

Typical problems

Where projects usually start

If more than one of these sounds familiar, there's real room for improvement.

  • Invoices and documents entered by hand, one at a time
  • Incoming requests sorted manually to the right department
  • The same customer questions coming back every day
  • Enormous internal documentation nobody can find anything in
  • Product descriptions and copy written over and over
What we propose

What we build

We build AI into your processes with explicit controls, and always with a person able to check and correct.

OCR and document reading

Automatic extraction from invoices, delivery notes, contracts and forms, validated before anything is saved.

Classification and routing

Emails and requests categorised and assigned automatically to the right team or person.

Assistants over your documents

An assistant that answers by quoting your own manuals and procedures, without inventing answers.

Human oversight

Confidence thresholds, manual review on uncertain cases, and a record of every automated decision.

What actually changes

  • Document data entry cut substantially
  • Requests routed correctly on the first pass
  • Instant answers to recurring questions, with a verifiable source
  • Company knowledge that's finally searchable
How we work

A clear method, in six steps

You always know where we are, what we're doing, and what you'll see at the next release.

01

Analysis

We watch how you work today, find where the time goes, and agree the priorities with you.

02

Design

We define features, interfaces and architecture. You see what the software will be before it gets written.

03

Development

We work in short iterations, releasing often to a staging environment you can open whenever you like.

04

Testing

We check the software against your real data and real cases, together with the people who'll use it daily.

05

Launch

Data migration, team training and go-live, followed step by step.

06

Support

We stay your technical point of contact: fixes, changes and new features over time.

FAQ

Questions about ai

If your question isn't here, send it over: we reply within one working day.

Tell us about your project

Describe the problem you want to solve in a few lines. We'll reply within one working day with a first assessment, no strings attached.