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Complementary expertise·IA documentaire

Supplier invoice OCR and RAG: your documents, finally usable.

Supplier invoice OCR automates the entry of your documents into the ERP, and an enterprise RAG lets your teams query contracts, procedures and archives in plain language.

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( Overview )

Why automate supplier invoice entry?

Every supplier invoice keyed in by hand costs time and errors: a mistyped VAT number, a swapped amount, a missing line. Modern AI-assisted supplier invoice OCR reads the document, extracts the useful fields, checks them against the purchase order and prepares the entry in your ERP or accounting software. Your team only validates exceptions.

The same document layer powers an enterprise RAG: an assistant that answers your staff’s questions from your own documents — contracts, product sheets, procedures — citing its sources. We deploy these tools on your data, with access rights respected and hosting in Europe.

Best for

  • ✓Accounting teams keying in hundreds of invoices
  • ✓Purchasing with order / invoice matching
  • ✓Companies with large document bases
  • ✓Teams searching for information in shared folders
( Our services )

Invoice OCR, automatic entry and enterprise RAG

01

Supplier invoice OCR

Automatic reading of PDF or scanned invoices: supplier, dates, amounts, VAT and line items.

Included
  • Field and line extraction
  • Amount and VAT consistency checks
  • Compatible with Factur-X e-invoices
02

Automatic entry into the ERP

Extracted data is matched with purchase orders and sent to your ERP or accounting software.

Included
  • Order / receipt / invoice matching
  • Exception approval workflow
  • ERP and accounting connectors
03

Enterprise RAG

An assistant that answers from your internal documents, cites its sources and respects everyone’s access rights.

Included
  • Indexing of your documents and DAM
  • Sourced, verifiable answers
  • Access rights inherited from your tools
04

Document automation

Delivery notes, contracts, quotes: we automate reading and filing of your other documents.

Included
  • Automatic filing
  • Clause and deadline extraction
  • Alerts and dashboards
( Added value )

What we add on top.

Data entry

Typical approach

Invoices copied by hand into the accounting software.

With VIVADO

Automatic entry, with human review of exceptions only.

Reliability

Typical approach

A generic AI tool that makes answers up.

With VIVADO

Sourced answers, limited to your documents.

Confidentiality

Typical approach

Documents sent to services outside Europe.

With VIVADO

Hosting in Europe and access rights respected.

How a document AI project runs

  1. 012 weeks

    Audit

    We map your tools, flows and data, and measure what it costs you.

  2. 022–4 weeks

    Architecture

    One data model and a costed roadmap, prioritised by impact.

  3. 032-week sprints

    Build

    Short releases and a demo every sprint. You watch the product grow.

  4. 04Ongoing

    Run

    Maintenance, monitoring and evolutions. The system grows with you.

( One system )

OCR and RAG read from and write to the same database as your ERP, CRM and DAM.

See the service — AI & automation ↗
( Ecosystem )
OCRLLMpgvectorPostgreSQLPythonFactur-Xn8nDocker
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Case study · Business software

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Invoice OCR and enterprise RAG: FAQ

On native PDF invoices extraction is very reliable; on poor scans less so. That is why every field is checked and doubtful cases go to review.

Yes. We build the connector to your ERP or accounting software to create entries automatically, after matching with orders.

An AI assistant that first searches your internal documents, then writes an answer citing its sources. It only answers from what you give it.

Yes. We host in Europe, respect existing access rights and do not use your data to train public models.

Yes. Structured e-invoices (Factur-X, UBL) are read directly; OCR remains useful for PDF and paper invoices that will keep arriving.

Further reading

Automating supplier invoice entry with OCR

3 min ↗

Supplier invoice entry errors: real cost and solutions

3 min ↗

Enterprise RAG: definition, use cases and production

3 min ↗

AI maturity audit: where to start

3 min ↗

Document automation with AI: 5 concrete use cases

3 min ↗

An invoice OCR or RAG project?

30 minutes with an expert to scope your needs and identify the first step. No commitment.

Talk to an expert →Take the 2-min audit

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