Practical AI for mid-market decisions
AI is only as good as the data underneath it. We get the foundations right first, then apply AI where it changes a decision. In practice that means better forecasting, quicker answers and less time lost to manual work.
Our approach
"If the data underneath it is wrong, the AI will be confidently wrong. The model, the governance and the foundations come first. Always."
Four areas
Where we apply AI
Each builds on the last. You can start anywhere, but most clients start with the foundations.
AI-Ready Data Foundations
The governed, well-modelled data layer that makes Copilot, machine learning and decision intelligence trustworthy rather than risky. Most failed AI starts here.
Applied AI and Machine Learning
Models that earn their place: demand and revenue forecasting, basket and churn analysis, anomaly detection and document automation, built on data you already have.
Microsoft AI and Copilot
Real value from Power BI Copilot and Fabric AI. We prepare your semantic model so plain-English questions return answers your team can actually trust.
AI Decision Intelligence (Pyramid)
Governed, AI-powered self-service for every user, through Pyramid, now part of ServiceNow. One of several ways we deliver AI, not the whole story.
What we have built
We do not just implement AI. We build it.
We build our own AI tools, which is why we know what works and what does not. That experience informs everything we deliver for clients.
Hopton Lens
An assistant that lets people query their Power BI data in plain English, returning answers grounded in a governed semantic model.
Hopton Sentinel
A monitoring agent that watches Fabric and Azure environments and flags problems before they reach a report.
Delivery platform AI
An AI layer inside our own delivery platform, used in every AAP programme we run.
Where to start
Is your data ready for AI?
Take the readiness checkerDo you need Microsoft Fabric?
Use the decision toolWhat would Fabric cost?
Use the calculatorFurther reading
Useful starting points
Getting Your Data Ready for AI
The practical steps to get your data estate into a state where AI can do useful work.
BlogWhat AI can't do for a mid-market business
An honest read on where AI adds value and where it does not - and what to watch for.
BlogNatural language analytics and the model it needs
Why Copilot and plain-English querying only work when the semantic model underneath is right.
Ready to talk about AI?
45 minutes with a senior consultant. An honest read on where AI can genuinely help your business and what needs to be in place first.
Book a free analytics audit