Solution · AI
Overview
AI document processing extracts structured data from these documents, matches it to ERP records and creates drafts for review, so people check rather than type.
01Typical problems
Hours spent keying documents.
Every supplier's invoice looks different.
Lines matched to the wrong products or POs.
Old OCR tools break when layouts change.
02Capabilities
PDFs, scans, photos and emails.
Products, quantities, prices and taxes.
To suppliers, products, POs and receipts.
Totals, tax and tolerance checks.
Exceptions shown with source highlights.
Corrections improve future matching.
03Workflow
Documents arrive by email or upload.
AI reads header and lines.
Linked to ERP records.
User confirms or corrects.
Draft becomes a confirmed record.
04 — Technical notes
We test extraction accuracy on a sample of your documents before building. Accuracy varies by document quality and type, and that determines the review design.
Clean master data — supplier names, product codes, units — is essential for matching accuracy.
Where it applies
Insights
A grounded look at AI in ERP: document processing, support and sales assistance, natural-language reporting — plus the limits, risks, controls and how to choose a first use case.
A practical look at Odoo 20 AI agents: creating records, automated triggers, MCP access, IAP credit billing, and where we would and would not use them.
FAQ
Accuracy on handwriting is lower; we evaluate on samples.
By default, drafts go to review. Auto-posting can be enabled for low-risk, high-confidence cases you define.
Typed invoices, POs and delivery notes with consistent information.
Next step
We will test extraction on your documents.