Use Case

Capture documents and orders automatically.

Incoming invoices, orders, and forms often still land in the system by hand today (typed in, checked, forwarded). AI reads the documents and passes them into your line-of-business systems as structured data.

Interactive demo

See it running, not just described.

In the Belegcenter, our interactive demo, you process 47 fictional documents from three sources yourself: orders from the email inbox, invoices from the supplier portal, delivery notes from the scanner. An AI reads them out, checks them against master data, and posts them into accounting, ERP, and inventory.

  1. 47 documents from three sources
  2. Read out, check, post to the right system
  3. Ask across systems
Open the demo (in German) Right in your browser, invented data, no sign-up.

01

The problem

Documents arrive as PDFs, scans, or email attachments in all kinds of layouts. Capturing them by hand is slow, error-prone, and ties skilled staff to routine work.

02

The solution

An AI pipeline recognizes the document type and fields, extracts the data, and passes it to your ERP or DMS after validation. Uncertain cases go into a short manual review before they move on.

  • Extraction from PDFs, scans, and email, even with changing layouts
  • Validation against master data (suppliers, orders, accounts)
  • Hand-over to common DACH ERP and DMS systems
  • Human-in-the-loop for uncertain cases, logged for full auditability

Documents

Typical documents we process

From structured forms to freely designed documents.

  • Incoming invoices and credit notes
  • Orders and order confirmations
  • Delivery notes and freight documents
  • Forms and applications
  • Contracts and their key terms

Approach

Our approach

How we build a document pipeline that stays dependable even months later.

  1. 01

    Review the documents.

    We start on your real documents. We agree the document types, fields, and the tricky edge cases together up front.

  2. 02

    Extraction with validation.

    The pipeline recognizes the document type and fields, reads out the data, and checks it directly against your master data, namely suppliers, order numbers, and accounts.

  3. 03

    A clear escalation threshold.

    Confident cases run through automatically, uncertain ones go flagged into a short review. We set the threshold with you, and every step is logged for full auditability.

  4. 04

    Integration and operations.

    Hand-over to your ERP or DMS, sign-off on real data, and monitoring of accuracy in live operation.

03

Accuracy and integration

What matters is a clean interplay of extraction, validation, and escalation. Clean integration with existing DACH systems is what sets us apart.

Industry benchmark: processing time per incoming invoice drops from around twelve minutes to under three.

Experience

Why appDev

The appDev team has been building backend and integration software for over 15 years, including for health insurers, banks, and industry. Data extraction, clean integration with grown systems, and auditable processing are the everyday work there.

That experience goes into every document pipeline we build. You speak directly with the permanently employed senior engineers who deliver your solution.

Reference

From our projects

AI and RAG small to medium

AI assistant for quotes and calculations

A suggestion system for the internal sales team

The request is analyzed and a draft calculation is generated. Sales reviews and approves; responsibility stays with a human.

The first draft quote is ready faster; sign-off stays with sales.

View project

All references Get in touch

EU hosting

Processing and storage within the EU.

Data protection by design

Data minimization and access control, built in from the first draft.

AI Act check included

A conformity assessment for your use case is part of it.

FAQ

Frequently asked questions

How accurate is AI document extraction?

Accuracy depends on document quality and variety. We measure it on your real documents and combine extraction with automatic validation; uncertain cases are flagged for review before they're accepted.

Does this work with our existing systems?

Yes. The data is handed over to your ERP or DMS. Integration with common DACH systems is part of the project.

Does the data stay in the EU?

Yes. EU hosting and data minimization are standard. Details under "GDPR and EU hosting".

Which document types can you process?

Incoming invoices, orders, delivery notes, forms, and contracts, from structured to freely designed layouts. Which types matter for you is something we define at the start.

What happens with varying scan quality?

The pipeline combines extraction with automatic validation. What it recognizes with confidence goes straight through, the rest is flagged for a short review. That keeps data quality dependable even with mixed templates.

How quickly is the connection to our ERP ready?

The integration into common DACH systems is part of the pilot, and therefore of the six to eight weeks. We estimate the exact effort after a quick look at your interface.

Getting started

How you start

You start with a Discovery for €1,900, creditable. We look at your documents and sharpen the use case. You get a binding fixed-price quote. The pilot then brings the solution into production in six to eight weeks, from €39,000.

Get in touch

Discuss your document use case. Reply the same business day.

Tell us briefly which documents you capture by hand. We'll tell you whether a fixed-price pilot pays off.

Pick an open slot in the calendar directly. Free and without obligation.

Book a call online

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