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Services

Three services. One stack behind them.

We do a small number of things and do them end to end: put a business on Odoo, take out the manual work between systems, and move the data trapped in old ERPs into an AI engine we built ourselves.

  1. 01Odoo
  2. 02Automation
  3. 03ERP → AI
Odoo — implementation & integration

One system your business actually runs on.

What it is

We put finance, sales, inventory, purchasing and operations on a single Odoo installation — configured around how your business works, not how a template assumes it does. Where you already run tools worth keeping, we integrate them instead of ripping them out.

What's included
  • A walk-through of your real processes, not a generic checklist
  • Configuration of the modules you actually need
  • Data brought in from spreadsheets and current systems
  • Integrations with the tools you keep
  • Training for the people who use it daily
  • Hosting and maintenance, if you want us to run it
The outcome

One place your team works from, numbers that reconcile because they come from one source, and a system we can keep extending as you grow.

Automation

The manual work between systems, taken out.

What it is

We map the steps people do by hand — the re-keying, the copy-paste between apps, the exports someone emails around, the month-end reconciliations nobody wants to own — and we remove them. Odoo automations, scheduled jobs, and glue between systems that don't talk to each other.

What's included
  • An audit of where the hours actually go
  • The handful of workflows worth automating first
  • Automations built and tested against real data
  • Alerts when something genuinely needs a human
  • Documentation, so it's never a black box
The outcome

Hours back every week, fewer errors from manual transfer, and a team spending its time on judgment instead of data entry.

ERP → AI data migration

Legacy data, moved into an engine you can ask questions of.

What it is

We move the data trapped in an ageing ERP — years of orders, invoices, customers, stock movements — into an AI engine we built ourselves. You keep the full history, and for the first time you can query it in plain language instead of exporting reports and reading them by hand.

What's included
  • Extraction from the legacy system — even the awkward ones
  • Cleaning and mapping to one coherent model
  • Loading into our own AI engine
  • A way to ask questions of the whole history
  • A checked, reversible cutover — nothing lost
The outcome

Nothing left stranded in a system you're paying to keep alive, and a company memory an AI can actually use — not a backup nobody ever opens.

Not sure which one you start with?

Most projects begin with one and pull in the others. Tell us where it hurts and we'll be straight about what's worth doing first — and what isn't.