Services
Four things we build, and what each one replaces.
Every engagement starts from a report someone is currently assembling by hand, or a number two people cannot agree on. We find out what it is for, then build the thing that produces it reliably.
Data pipelines and definitions
One place where the operational, cost and volume numbers agree, updated automatically from the systems that already hold them.
Replaces: emailed spreadsheets, manual re-keying, and three departments quoting three different figures for the same month.
What you get
- Scheduled extracts from ERP, CRM, finance, scheduling and operational tooling
- One agreed definition per metric, written down, so the same question returns the same answer
- Cleaning and validation rules that flag bad records instead of quietly averaging them away
- A single warehouse the reporting layer reads from, with schemas your team can extend without us
Dashboards and reporting
The numbers the organisation runs on, current to the last update rather than to last month.
Replaces: the first week of every cycle spent rebuilding the same workbook by hand.
What you get
- Operational views for throughput, utilisation and cost per unit
- Management views that roll the same figures up without recalculating them differently
- Period-end packs that assemble themselves
- Access control, so each function sees its own data and the centre sees all of it
Process automation
The repetitive work between systems, done by software, with an audit trail.
Replaces: hours of copy-paste, and errors that only surface at audit.
What you get
- Document and form capture from PDFs, scans and paperwork
- Reconciliation between source systems, with exceptions raised for review
- Scheduled distribution of reports to the people who need them
- Alerting on thresholds that currently get noticed too late
AI systems
Applied where there is enough clean history to justify it — and we will say so when there is not.
Most organisations need the three services above first. AI on data nobody trusts produces confident answers nobody will act on.
What you get
- Forecasting for demand, consumption and maintenance windows
- Document extraction and classification over existing archives
- Retrieval over internal documentation, standards and procedures
- A clear statement of accuracy, limits, and what happens when the model is wrong
How an engagement works
Four steps. You can stop after any of them.
- 01
Brief
A few minutes
A short note through the form: what you are trying to get out of your data, and what currently produces it. Enough that the call starts at the problem rather than at introductions.
- 02
Call
30 minutes
You describe the organisation and where the numbers currently come from. We tell you whether the problem is worth solving with software yet.
- 03
Scoping
1–2 weeks
We map the data you already have, agree what the system must produce, and put a fixed price and delivery date against it.
- 04
Delivery
Agreed up front
We build it, connect it to your source systems, and hand over documentation so your team can run it without us.
Want to know which of these you actually need?
Bring one report your team rebuilds every month, or one number nobody can agree on. Thirty minutes is usually enough to tell you whether the fix is a pipeline, a definition, a dashboard, or a conversation with your software vendor.
A free 30-minute call, no obligation. We scope the problem and tell you if we're not the right fit.