Forget “AI transformation”. We take one repetitive workflow in your business, automate it with AI, keep a person in charge of every approval — and measure the result in hours and pounds.
The best first AI project is a contained, repetitive workflow that already eats staff hours every week. These are typical examples — if yours isn't listed, the diagnostic will tell you whether it qualifies.
Every sprint starts with a fixed-fee workflow diagnostic (£750–£1,250). In a few days we study one workflow end to end and hand you a feasibility plan with the numbers that matter — what it costs today, what automating it should return, and what it will cost to run.
It ends in a go/no-go recommendation, and the “no” is real: if the numbers don't work, we tell you not to build it. The plan is yours to keep either way.
Each stage has its own scope and price, agreed in writing before it starts — and each stage ends with a decision, not an obligation.
A short, structured study of one workflow: costs, data, risks, approval points and expected benefit — ending in a feasibility plan and an honest go/no-go recommendation.
A small production-adjacent pilot built on your real data, so you can measure accuracy and value before committing to a full build.
The pilot made permanent: integrated into your systems, monitored, documented and handed over to your team.
Ongoing care for the live workflow: accuracy tracked over time, prompts and models kept current, and new opportunities flagged as they appear.
AI adoption among UK businesses has grown fast, but most firms still use it shallowly — a chatbot here, a drafting tool there — while the repetitive workflows that actually consume staff hours carry on untouched. The fastest return we see comes from the opposite of a sweeping transformation programme: one contained, operational workflow, automated properly, measured honestly, with a person approving every consequential output.
You also get delivery pedigree, not just advice. This is the same senior team that has operated production websites and infrastructure for clients over many years — see the client results — backed by PhD-level AI research experience. We build things that run, and keep running.
Whichever fits the workflow: hosted large-language-model APIs, cloud AI services or self-hosted models. The choice is made in the diagnostic, weighed against your cost, accuracy and data-sensitivity requirements — not against a vendor preference. RAG, orchestration and fine-tuning are implementation details we handle; they are never the point of the project.
A data-protection review is part of every diagnostic. We work within UK GDPR, agree in writing which data can be processed where, and keep your data within those boundaries — including choosing self-hosted or UK/EU-region processing where the sensitivity demands it.
That is exactly what the pilot exists to find out. It runs on your real data and measures accuracy before anything reaches production, and the go/no-go recommendation is honest: if the numbers don't work, we tell you not to build it, and you have spent the price of a diagnostic or pilot rather than a programme.
No. We build, integrate, monitor and document the workflow, and hand it over in plain English. Your team's job is to use it and approve its outputs — not to maintain models or infrastructure.
Yes — integration is the point. The workflow is built into the tools your team already uses rather than adding another system to check, and the same senior team that operates production websites and infrastructure for our clients handles the integration.
Tell us about the repetitive job your team dreads and we'll confirm the diagnostic scope, fixed fee and start date — usually within one UK business day.
