Pillar 2 · Documents

Document Automation

In most companies, every business process starts and ends with a document: invoices, delivery notes, contracts, official notices, receipts. Yet these documents are still often opened, read, retyped and filed manually. That ties up capacity and slows down every downstream step.

AI-powered document automation recognizes document types, extracts the relevant data and hands it directly to your systems — with no manual intermediate steps and no media breaks. Combined with AI process automation and end-to-end workflow automation, this creates a continuous processing chain from document intake to booking.

The problem: manual document processing costs time and money

Picture a typical scenario: every morning, 80 to 120 incoming invoices arrive — by email, by post, occasionally by fax. A staff member opens each invoice, reads off the invoice number, amount, tax number and due date, types this data into the accounting system, checks it against the purchase order and files the document.

Each invoice takes five to ten minutes. At 100 invoices, that's eight to seventeen working hours a day spent by a qualified staff member purely on data entry. On top come errors: transposed digits in amounts, mixed-up account numbers, missed early-payment discount deadlines. Correcting these errors causes further cost and delay.

Taken together, manual document processing means higher personnel cost, longer processing times, more errors and less transparency about processing status. This is exactly where AI document automation comes in.

The solution: intelligent document recognition

01

OCR and text recognition

Modern OCR technology converts scanned documents, PDFs and photos into machine-readable text. Handwritten notes, stamps and poor scan quality are also reliably recognized.

02

Automatic classification

AI automatically recognizes whether a document is an invoice, a delivery note, a contract or a credit note, and routes it into the correct processing channel.

03

Data extraction

Relevant fields such as invoice number, amount, date, supplier information and line items are automatically extracted, validated and turned into structured records.

04

ERP hand-off

The extracted data is passed directly to your ERP, accounting or DMS system via interfaces. Approvals happen rule-based or with a single click, and documents are archived in an audit-compliant way.

Typical use cases

Incoming invoices

Automatically capture incoming invoices from email, scan and upload, match them against purchase orders, route them for approval and post them in the ERP. Early-payment discount deadlines are monitored, duplicates detected.

Contract management

Automatically index contracts, extract terms and notice periods, assign responsible owners, and send timely reminders for renewals or deadlines. No contract falls through the cracks anymore.

Personnel files and HR documents

Automatically classify job applications, employment contracts, sick notes and certificates, and assign them to the right personnel file. Deadlines for probation periods or certificate renewals are monitored automatically.

Delivery notes and goods-receipt checks

Automatically capture delivery note data, match it against purchase orders and goods-receipt notifications, and immediately flag discrepancies in quantities or items. The foundation for smooth invoice verification.

Results from practice

200+

Documents per day

Automatic processing of over 200 documents daily, with no additional staff. Peak periods such as month-end closing are absorbed without backlog.

<1%

Error rate

The combination of AI recognition and rule-based validation lowers the data-extraction error rate to under one percent. Uncertain results are flagged for manual review.

70%

Time saved

Staff save up to 70% of their previous processing time. Instead of typing in data, they now only review exceptions and focus on higher-value work.

Frequently asked questions

Does recognition still work with poor scan quality?
Yes. Modern AI-based OCR systems are considerably more robust than traditional template-based approaches. They recognize text even in skewed scans, low resolutions and partially obscured areas. With very poor quality, the document is flagged for manual review, so no faulty data enters the system.
Which document formats are supported?
The solution processes PDF, TIFF, JPEG, PNG and common Office formats. Documents can arrive as email attachments, scanner uploads, network-folder drops or via API. Structured e-invoice formats are read natively: ZUGFeRD and XRechnung in the German market, and ebInterface as Austria's federal format. Processing is also prepared for the European standard Peppol BIS (mandatory for Austria under the EU ViDA reform).
How does e-invoicing work in Austria, Germany and Switzerland?
The format landscape differs across the DACH region: in Germany, ZUGFeRD and XRechnung are the established formats; XRechnung is mandatory in the B2G sector. In Austria, ebInterface is the federal format for invoicing to public administration via the Unternehmensserviceportal (USP); ZUGFeRD is not accepted by the Austrian federal government. Under the EU ViDA reform, Peppol BIS becomes the European standard, mandatory in Austria from 2028. In Switzerland there is no general obligation; Swiss QR-Bill is common, along with Peppol BIS in the B2G sector. We are format-agnostic: incoming PDF, ZUGFeRD, XRechnung, ebInterface and Peppol BIS documents are all handled the same way and passed on to accounting systems (DATEV, BMD, SAP, Microsoft Dynamics and others).
Can document automation be integrated into our existing ERP?
Yes, integration into existing systems is a core part of our solution. We work with common ERP systems such as SAP, Microsoft Dynamics, DATEV and industry-specific solutions. The connection runs via API interfaces or file exchange, depending on your infrastructure's technical capabilities.
What recognition rates are realistic in practice?
For standard invoices with known suppliers, delivery notes and order confirmations, recognition rates typically reach 90 to 95 percent automated processing. Handwritten receipts, poor faxes and documents in rare languages are harder — here, 60 to 80 percent is realistic. The key is not the maximum rate but clean escalation logic: uncertain documents go to a human with a stated reason. More in the practical guide.
From what document volume does document automation pay off?
Below 50 documents per day, a fully automated solution rarely pays off. Between 50 and 200 per day, ROI typically arrives within 6 to 9 months. From 200 documents per day, 4 to 8 months is realistic. For very small volumes, a partially automated solution with pre-capture and a human in the loop can make more sense than full automation.

Related topics

Document automation works best in combination with:

Pillar 4 · Integration

ERP and CRM integration with AI →
Pillar 2 · Processes

AI process automation →
Pillar 3 · AI Agents

AI Agents →
Pillar 5 · Support

Managed AI Operations →
Guide · Operational Practice

Where document automation actually works in practice →

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