Documents
From paper to ERP, without typing
Orders, delivery notes, invoices and datasheets read and recorded automatically, with inconsistencies checked before entry.
02 · What we do
Each area stands on its own, but the value appears when they are connected: data captured on the shop floor reaches management with no manual steps.
01
Performance comes from processes. Before connecting any system we look at how the company works: who decides, on what information and on what timescale.
Organisational and technology analysis, feasibility studies, needs analysis.
Flow redesign, removal of non-value activity, process mining.
Roles, responsibilities, delegation and performance monitoring systems.
Design, management and reporting of incentives and funded programmes.
02
Data becomes value when it becomes decisions. We build the company's executive dashboard: data consolidated from ERP, management software, spreadsheets and plant, one single model, indicators updated automatically.
Executive dashboard · illustrative example
Illustrative values. Every indicator is rebuilt on the company's real data.
03
Every product has a cost, and every cost tells a story. We rebuild the real cost of product, job and department: from material consumption to machine time captured on the line, from scrap to overhead absorption.
From selling price to real margin
| Selling price | 100 |
|---|---|
| Raw materials | −41 |
| Processing and labour | −19 |
| Scrap and rework | −7 |
| Overhead absorption | −13 |
| Industrial margin | 20 |
04
Companies rarely need to replace everything. They need the pieces they already own to talk to each other, with one verifiable data flow.
We design and build the integration layer — APIs, middleware, synchronisations, bespoke applications — and keep it maintained over time. The same goes for MES: we start from the real production cycle and build only what is needed.
Synextia integration layer
API · middleware · synchronisation · data quality
05
We connect plant of different makes, ages and protocols: we read straight from the PLCs, add sensors where the data does not exist and bring everything into one flow, without replacing the machines.
06
We don't add another tool to open. We put AI inside the processes and the software people already use, where it does the repetitive work: it reads, classifies, fills in, checks, proposes. Users don't change their habits — they find the work already done.
Documents
Orders, delivery notes, invoices and datasheets read and recorded automatically, with inconsistencies checked before entry.
Control
Cost variances, out-of-standard consumption, delays building up: the analysis runs by itself and only alerts when it matters.
Forecasting
Models trained on the company's historical data to predict requirements, reorders and interventions before a stoppage.
Oversight
Every automation is traced and reversible: AI proposes and prepares, the person responsible confirms. Company data always under control.