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Business Systems & AI

AI Solutions

Practical AI inside the software you already use — document processing, internal assistants, knowledge search and workflow automation.

Most businesses do not need a bespoke model. They need one repetitive, expensive task handled reliably — and that is usually achievable with today's tools.

Where it reliably pays off

Document processing. Invoices, delivery notes and forms still arrive as PDFs and photographs, and someone types them into a system. Modern models handle this well, including messy scans that defeat traditional OCR.

Internal assistants. An assistant that answers staff questions from your own policies, manuals and historical records, instead of the answer living in one colleague's head.

Knowledge search. Search that matches meaning rather than keywords — valuable across large document sets where people currently ask a colleague instead of searching.

Workflow automation. Classifying, routing and summarising the work that arrives daily, with a person approving anything that leaves the building.

Where we will tell you not to

AI is a poor fit for tasks that must be exactly right every time with no review step, and for problems a simple rule would solve more cheaply and more auditably. We would rather say that during scoping than build something you quietly stop using.

A person stays in the loop

For anything customer-facing we design a review step, so the system drafts and a human approves. That captures most of the time saving without the risk of an unreviewed mistake reaching a customer.

What's included

Assessment of where AI genuinely helps — and where it does not
Document processing and data extraction
Internal AI assistants trained on your own content
Semantic search across your documents and records
Workflow classification, routing and summarising
Human review steps for anything customer-facing
Integration into your existing systems
Accuracy benchmarking and ongoing tuning

What you get

Working AI capability inside your software
Accuracy benchmarks measured on your real data
Review workflow where human sign-off is needed
Documentation and 30 days of support

Common questions

Not without your explicit agreement. We use providers whose terms exclude training on customer data, and where requirements are strict we can run models on infrastructure you control.

That depends entirely on the task, so we benchmark against your real data during scoping and give you a number before you commit. If the accuracy is not good enough to be useful, we will say so rather than ship it.

Tell us what you are trying to build

Describe the problem, the product or the process you want to improve. You will get a written scope, a fixed price and a delivery date before committing to anything.

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