Guides and use cases on IDP-to-ERP integration: how data extracted from invoices, delivery notes and orders flows automatically into SAP, Zucchetti, TeamSystem and other systems.
Every ERP integration project starts with the same question: how does the data printed on a supplier invoice, a delivery note or a customer order end up inside your management system without anyone retyping it? Data Alchemy answers it with a dedicated LLM for each document model, which reads any layout with no templates to configure, validates every field in real time against your live ERP master data — suppliers, item codes, VAT rates, open purchase orders — and posts the structured record into the ERP with 99.8% accuracy (measured with Claude); with Claude Sonnet or higher, reading takes on average around 12 seconds for a one-page document and around 18 seconds for two pages.
That validation step is what separates an ERP integration from a simple file transfer. A traditional OCR engine hands you a text string and leaves the reconciliation to an operator; an IDP platform checks the supplier VAT number against the vendor master, matches line items to the purchase order and the delivery note (three-way matching), flags the exceptions and lets everything else post untouched. The articles collected in this topic cover the full path: how AI data extraction actually works, how agentic multi-engine automation handles classification and posting, and how to calculate the ROI of a document automation project before you start it.
With the AI agent, ERP integration setup takes 2–5 working days without custom integrations. Data Alchemy is available with Basic, Business and Enterprise licences plus pay-as-you-go credits — quote on request.
How much do you actually save by automating document data entry? Here's how to calculate document automation ROI, which costs to count, and how fast the investment pays back.
AI data extraction uses artificial intelligence to read invoices, delivery notes and orders and turn them into data ready for your ERP. Here's how it works and how it differs from traditional methods.
From single-model OCR to autonomous AI agents: how a multi-engine AI enables agentic document automation, classifying, validating and posting data with no manual work.
Intelligent Document Processing (IDP) is the AI technology that captures, extracts and validates data from business documents. Here's what it is, how it works, and how it differs from OCR.
Go deeper with the guide to Intelligent Document Processing (IDP), see how AI data extraction from invoices works in practice, or find out how to automate three-way matching between invoice, purchase order and delivery note. If you want to size the project first, use the document automation ROI calculator; if you want to see the extraction in action on one of your own documents, activate the free Demo on your own documents.