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AI And Automation

AI And Automation That Does Real Work

We add AI to products and automate repetitive work, and we test the result against your own data before anyone relies on it.

  • Tested on your own examples
  • Human approval for risky steps
  • Your data stays under your control
Discuss Your ProjectSee How We Build

Where AI And Automation Help

AI is useful for work that involves reading, summarising, classifying or drafting. Automation is useful for steps that follow fixed rules. Most real projects combine the two: rules where the answer must be exact, a language model where judgement is needed.

We start from the task, not the technology. If ordinary code solves the problem more reliably, we say so.

What We Build

  • AI Assistants

    Assistants that answer questions from your own documents and data.

    Custom AI assistants

  • Document Processing

    Reading invoices, forms and contracts and putting the details into your systems.

  • Workflow Automation

    Multi-step back-office tasks carried out automatically, with approval where needed.

  • Model Integrations

    Language model features added to a product you already have.

  • Search Over Your Data

    Search that understands the question, across documents, tickets and records.

  • Evaluation And Monitoring

    Test sets and checks that show whether answers are correct, before and after launch.

Who This Is For

  • Operations Leaders

    Your team spends hours on repetitive reading, copying and checking.

  • Product Owners

    You want to add an AI feature to a product and need it to be dependable.

  • Engineering Leaders

    You have a prototype that works in a demo and need it ready for production.

How An AI Project Runs

  1. 1
    Step 1

    Choose The Task

    We pick one task with a clear measure of success.

  2. 2
    Step 2

    Collect Examples

    Real inputs and the correct outputs, used to test every version.

  3. 3
    Step 3

    Build And Test

    We build, measure against the examples and improve.

  4. 4
    Step 4

    Add Safeguards

    Human approval, limits and logging for steps that carry risk.

  5. 5
    Step 5

    Release And Monitor

    A gradual release, with checks that catch a drop in quality.

The full process, from first call to support after launch, is on the How We Build page.

What You Receive

  • Source Code

    Code, prompts and configuration in your repository.

  • Test Set

    The examples and results used to measure quality.

  • Documentation

    How it works, what it costs to run and its known limits.

  • Ownership

    Code and IP assigned to you by contract.

Technologies We Work With

We choose the stack to suit the product and your team. These are the ones we use most.

Ways To Work With Us

Pick the model that suits how clear the scope is. We quote in writing before you commit.

Tell Us What You Want To Build

Helpful to include

  • What the product should do
  • Who will use it
  • Anything already built
  • Your target date

What happens next

  • We read your brief and reply within two working days
  • A scoping call to agree goals and must-haves
  • A written proposal: scope, timeline and cost

AI And Automation Enquiry

No obligation. We sign an NDA before you share anything confidential.

AI And Automation Questions

Have More Questions?

We build a set of real examples with known correct answers and measure every version against it. You see the results before anything is released. No language model is right every time, so we also add human review where a mistake would be costly.

We set up the integration so that your data is not used for training, using the provider's business terms, and we tell you which provider and settings are in use. Where data must not leave your environment, we discuss models that can run inside it.

We choose the model to suit the task, the budget and your data requirements, and we design the system so the model can be changed later.

Running cost depends on usage and the model chosen. We estimate it during the project from real test volumes and document it, so there are no surprises after launch.

Yes. If fixed rules solve the problem, ordinary automation is more reliable and cheaper to run. We recommend whichever fits.

Have Something To Build?

Tell us the idea and the timeline. We will reply with questions, then a written proposal.

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