What we need to see
The decisions you need to make, source reports and definitions of the numbers your team currently disagrees about.
AI work pattern · every industry
Know What's Going on Without Asking Anyone.
You shouldn't have to walk the shop floor at 11am to find out which jobs are running late. Or open three systems to see whether this week's margin is on track. We build live operational dashboards, and an AI layer on top, that surface what matters and answer your questions in plain English.
Tell us the task, your current tools and where the work gets stuck. We will help you choose a sensible first scope.
Prove it on your own work first.
How we judge the pilot
Reconcile a sample of dashboard figures back to source records and verify update frequency before using alerts.
What stays in your hands
Show data freshness and known gaps. Managers check the underlying records before consequential decisions.
The work in context · Illustrative scenes
Map the inputs and the handovers.
Start with representative examples, the tools involved and the point where the work slows down.
Make review part of the workflow.
Show the prepared work to the right person, flag uncertainty and keep a clear route to correct mistakes.
The problem, in plain English.
01
You're running on yesterday's data
Weekly reports tell you what happened last week. By the time you act on them, it's already next week. The operational decisions that matter happen on Tuesday afternoon, not Friday morning.
02
BI tools are built for analysts
Power BI and Tableau are powerful, and they assume you have someone whose job is to use them. Most SMEs don't. The dashboards get built, looked at twice, and then gather dust.
03
Different departments see different numbers
Sales report says one thing. Production says another. Finance says a third. Half the time it's because they're using different definitions; the other half it's because nobody's data is real-time. Either way, decisions get made on vibes.
04
Asking "why?" takes too long
You see margin dipped this month. Now you need someone to dig through three systems to work out whether it was material costs, labour drift, or a bad customer mix. AI can answer that question in seconds.
What actually happens.
01
Single source of truth
We pull data from your real systems (MES, CRM, accounts, ecommerce, custom apps) into one place. Reconciled, defined consistently, refreshed in real time or near-real-time.
02
The dashboards you'll actually use
Designed around your real questions, not generic templates. "What's shipping today?" "Which jobs are at risk?" "Which customers haven't reordered?" Surface only what matters to the role of the person looking.
03
AI on top for the long-tail questions
For everything not on a dashboard: ask in plain English. "What did we sell to Acme in March?" "Which jobs took more than 20% over estimate?" "Who quoted the Smith job?" The AI queries your data and answers in seconds.
04
Alert on what matters
Margin trending down. A customer who hasn't ordered in 60 days. A job 3 days late and no one's flagged it. The system pings the right person before the problem becomes a fire.
Fixed fee, phased delivery.
£4,800-£15,000 for build, ~£200-£500/month for hosting + maintenance
From £4,800excluding VAT
Operational analytics
- Workflow audit + scope
- Build, integrations, and tuning to your real data
- Deployment, handover and agreed access controls
- Hosting, AI usage and ongoing support quoted separately
What people ask us.
01How is this different from Power BI?
Power BI is a tool for analysts to build reports. What we build is for operators, dashboards designed around your real decisions, plus an AI layer that answers questions you didn't pre-build a dashboard for. You can host the underlying data in anything (BigQuery, Postgres, your existing systems); the difference is the layer that sits in front of your team.
02Where does the data live?
Usually in your existing data warehouse, or a small one we set up (BigQuery, Postgres, or similar). The dashboards and AI layer query that warehouse. Your raw operational systems stay where they are, we just mirror the data into a place that's designed for analytics.
03Can we run the AI questions in front of our own staff?
Yes. The natural-language query interface is the most-used feature with clients who deploy it. Anyone who can use Google can use it. Permissions are role-based so people only see data they're allowed to see.
04How real-time is "real-time"?
Depends on the source system. For systems with proper APIs (modern SaaS), genuinely real-time. For older systems that need a sync (Sage, on-prem databases), typically every 5-15 minutes. We design around the data you have.
05What if our reporting needs change?
Dashboards are designed to be modified. We hand over with documentation so your team or another developer can add new views without rebuilding everything. The AI layer doesn't need redesign for new questions, it adapts as long as the underlying data is there.
Which industries this suits.
Other AI work we build.
Keep exploring
Build this for your business.
What could work
better for you?
A new website. More customers. Less admin.
Tell us where you want to get to. Chris or Kay will reply within one working day.