AI Solutions

Practical AI for one useful part of the work

Use AI to find information, review documents, prepare drafts, or support a decision—with people in control.

The first thing we ask you

AI can be useful when people spend too much time reading, sorting, summarizing, or drafting from information your business already has. We start with one clear job and keep important decisions with a person.

Where it tends to pay off

A focused feature, connected to a real job.

Find approved information
Help employees search trusted documents without hunting through folders.
Prepare drafts
Create a useful first draft for a person to review and send.
Sort incoming work
Label and route requests using rules your team can understand.
Summarize long material
Turn calls, emails, or documents into a shorter review.

How we get there

  1. 01

    Choose one problem

    Define the job, the people involved, and what better looks like. One problem, not a programme.

  2. 02

    Set boundaries

    Agree what data it may see, where a person must review, and which mistakes are unacceptable rather than merely annoying.

  3. 03

    Test real examples

    Normal inputs, difficult inputs, and wrong inputs — before release, using your own material rather than a demo set.

  4. 04

    Release and learn

    Start narrow, review what it actually produced, and widen only where the results earn it.

Before you budget for it

Do we definitely need AI?

Not always, and this is the question we ask first. Plenty of what gets scoped as an AI project is a reporting problem or a missing integration. We will tell you when ordinary software is the cheaper and more reliable answer.

Can it work with our current software?

Usually. We check the available connections, the data behind them and the permissions model before promising anything — the limit is almost always what a vendor will hand over, not the AI.

How do you protect our data?

Access, storage, which provider processes what, and the review rules are designed around your actual requirements and written down. If a requirement rules out a provider, that narrows the options rather than getting quietly ignored.

What will you refuse to build?

Anything that makes a decision about a person without a human in the loop, and anything where a confident wrong answer costs more than no answer. We would rather lose the work than ship that.

Related services

MCP server development

Give a compatible AI assistant controlled access to the records and tools the job needs.

Explore MCP server development

Agentic AI

When the work involves several approved steps, define a workflow with limits and human review.

Explore agentic AI

Start with the slow part.

Tell us which task takes too much time. We will help you work out whether it is worth automating at all.

Discuss your workflow