SERVICES / PRACTICAL EXPERTISE
From your first AI question to the systems you already depend on. Eight services built around real business needs.
All prices are starting prices in GBP. Final scope, fees and any applicable taxes are confirmed in a written proposal. Scope descriptions below are typical areas of work; final deliverables are agreed for each engagement.
HOW WE ENGAGE
You can stop after any stage. We don’t ask for a large commitment before there is something worth building.
A short, free conversation about your business, your data and where AI could help, or where it might not.
An AI audit and readiness assessment with an honest view of where you stand and a prioritised roadmap.
Scope and deliver the most useful opportunity first, with a defined outcome and agreed responsibilities.
Keep systems running, train your team and revisit the roadmap as the business changes.
Not sure where AI belongs in your business?
Before you spend on a build, we look at your data, the tools you use and how your team works. You’ll know whether AI can help, what needs fixing first and where your money is better spent.
Typical scope
A plain English readiness report covering what is usable today, what needs fixing first, and a roadmap prioritised by effort and business payoff.
A promising idea needs a practical plan.
Once we know what’s worth doing, we make a plan and build it with you. We agree what should improve, connect it to the tools you already use and make sure your team knows how to run it.
Typical scope
Prioritised use cases, an agreed delivery scope, integration requirements, success measures and a practical handover.
Your data is everywhere. Answers are harder to find.
Bring scattered spreadsheets and systems together. We clean up the gaps, connect your information and put checks in place so your reports are ready when you need them.
Typical scope
Data ingestion, storage, quality checks, access and ownership, with reporting and analytics designed around the decisions you need to make.
Ready made AI does not fit every problem.
Forecast demand, spot unusual activity or make sense of customer feedback. We build and adapt models around the decision you need to make. If an existing tool can do the job well, we’ll tell you.
Typical scope
Model selection or fine tuning, business focused evaluation, deployment and monitoring. Success means a useful decision system, not benchmark accuracy alone.
Moving quickly should not mean losing oversight.
Give your team clear rules for using AI. Agree what information it can use, when a person needs to check the result and who takes responsibility if something goes wrong.
Typical scope
Data privacy boundaries, model risk, bias review, named ownership and internal policies sized for your team.
Something stopped working. Your business cannot wait.
Reports stopped updating? Predictions getting worse? We trace the problem, fix what’s broken and add checks so the next issue doesn’t go unnoticed. Your team gets a clear explanation of what changed.
Typical scope
Root cause diagnosis, scoped repair, monitoring and maintainability improvements, with system ownership handed back to your team.
Validate the idea before building everything.
Give people something real to try before committing to a bigger build. We focus on the part of your idea that matters most, then use what you learn to decide what comes next.
Typical scope
A focused product scope, architecture, working user interface and validation plan for a new AI feature or standalone product.
Your tools are only as useful as your team’s confidence.
Training follows the audit so it maps to your actual roadmap. Help your team choose which AI tools to use, why and when, and keep making good decisions after we have left.
Typical scope
Role specific sessions, practical exercises based on your workflows, tooling guidance and clear internal ownership.
A BETTER STARTING POINT
Free discovery. No pitch. No obligation. An honest read on where you stand.