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AI Application Development

AI assistants, document processing and automation, built into the software your team already uses.

Discuss your project
In service
DHN Digital, 2024 – now
First version
Usually 2–4 months
Quote
Fixed price for the first phase
Contract
UK company, you own the code
Drawing of one of DHN Digital's AI modules: PDFs, emails and spreadsheets go in, the client's rules are applied, and Excel sheets, records and contracts come out
One of the modules we built for DHN Digital, drawn.

Most businesses don’t need an AI strategy. They need specific, repetitive work to take less time: reading documents, answering the same questions, sorting requests, drafting replies. That is where AI pays for itself today.

We start with one task you can measure, prove that AI does it well enough on your real data, and then build it into your systems with the checks a business needs: a person reviewing what matters, a record of what it did, and running costs you can predict.

What we build

  • Assistants grounded in your data

    Answers drawn from your documents, policies and systems, with sources, not guesses.

  • Document processing

    Data extracted, checked and filed from invoices, forms, contracts and CVs.

  • Workflow automation

    Requests classified, routed and drafted, with a person approving what matters.

  • AI in your product

    Search, summaries and recommendations added to an application you already have.

  • Testing and guardrails

    Accuracy measured on your real cases, costs tracked, every output logged.

How we work

  1. 1

    Pick the task

    One job, how long it takes today, and what good enough looks like.

  2. 2

    Prototype on your data

    A working version tested on real examples, with the accuracy measured.

  3. 3

    Build it in

    Connected to your systems, with review steps, logging and cost limits.

  4. 4

    Monitor and improve

    Accuracy and costs watched in use, and the next task picked from what you learn.

Related work

Technologies we use

  • Claude
  • GPT
  • Retrieval-augmented generation
  • Python
  • Node.js
  • Next.js

Questions

Is our data safe with AI models?

We use the providers’ business APIs, whose terms exclude training on your data, keep your data in your own systems where we can, and keep sensitive steps away from external models when they need to be.

What if the AI gets something wrong?

We measure accuracy on your real cases before launch, keep a person in the loop for decisions that matter, and log every output so mistakes are caught and fixed.

How soon can we see something working?

Usually within weeks, because we start with one task on your own data rather than a large platform.

Talk to us about AI applications

Tell us what you need to build. We reply within one working day with a clear next step.

Discuss your projecthello@exerge.com
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Within one working day
First phase
A written scope and a fixed price