Automation & AI for manufacturing

In many small and mid-sized factories the shop floor works fine; what limps is the paper around it. Printed work orders, reports filled in by pen that someone copies into Excel, delivery notes lost between the scale and the office. The result: management decides with data from two weeks ago.

What we automate at a factory

• Work orders and production reports: from ERP to shop floor and back without manual transcription; reports are recorded where they happen.
• Delivery notes and goods receipt: automatic intake of supplier documents and matching against order and invoice — the same engine we use to automate invoices.
• Incidents and quality records: non-conformities logged and traced the moment they happen, not at the end of the shift.
• Production indicators: OEE, scrap, plan adherence — in an up-to-date dashboard, not in a month-end Excel.
• Management reporting: the weekly report prepares and sends itself.

Where we start

By measuring where the administrative time around production actually goes — it usually surprises. A free 30-minute audit is enough to tell you whether there's a business case; the 4-week fixed-price pilot targets one line or one process, not the whole factory. That's how the Caelion Method works.

Our experience

We come from building data and automation systems for aerospace, rail, naval, automotive and chemical-process manufacturers — environments where traceability of every part and every batch is mandatory. That experience comes from our professional careers, not from Caelion projects; we now apply it to SME plants, where the same problem is solved with a fraction of the budget.