Automated invoice processing with AI

Automated invoice processing simplifies procurement

Our artificial intelligence Worki processes invoices reliably and in record time. This makes your processes and workflows more efficient and allows your team to focus more on strategic tasks.

Faster processing

Our AI solution can capture and process invoices with lightning speed and precision. This means you no longer miss payment deadlines, meet payment targets and secure discounts.

More time for success

With Workist, you'll never again risk fines for missed payments and can finally invest time in maintaining relationships with your suppliers again.

Simpler booking

The creditor and cost centre are automatically recognized and assigned during entry. This makes it much easier to post the invoice.

Simple and secure integration

Our software processes invoices securely in the cloud. The AI solution integrates seamlessly into the existing system landscape via standard interfaces such as APIs - without prior training or extensive IT projects.

Process invoices effortlessly

Free your team from administrative tasks and ensure that your invoice processes become more efficient with Workist. This saves you costs and ensures quality.

Intuitive document understanding

Incoming documents tend to differ greatly in terms of layout and language. No problem for Worki: thanks to over 3 million successfully processed documents, our AI is able to interpret over 60 languages and an infinite number of layouts intuitively like a human - without any prior training.

Illustration of the Workist software showing three digital documents. Each document contains company info, billing address, and line items. A stylized mascot or symbol of Workist is positioned to the right of the documents, holding a book and a magnifying glass, pointing to an area labeled "Analyzing...". The illustration emphasizes the analysis and processing of business documents by the software.

Error-free data transmission

Workist captures and processes all relevant data from incoming invoices fully automatically, highly efficiently and reliably. Additional validation based on your master data increases accuracy and minimizes errors.

Continuous improvement

Thanks to its distinctive learning ability, Worki gets used to your individual data and can therefore master even the most complex challenges. Machine learning makes it possible, for example, to learn customer-specific article numbers or automatically add missing article numbers.

Illustration of the Workist software showing the learning effect of machine learning. At the top left, a form with an error in the article number is marked. At the bottom right, the corrected form shows that the article number 123 was automatically corrected by machine learning with a confidence of 98%. A stylized mascot connects the two forms and illustrates the automatic error correction. This illustration emphasizes the software's ability to learn from previous corrections through machine learning.

Human in the Loop

We combine maximum automation with maximum safety and involve humans to help the AI with uncertainties and learn from human feedback.

Seamless integration

Automation starts with integration! With Workist, you don't have to worry about compatibility - our solution can be seamlessly integrated into any system landscape. Regardless of the ERP system used or the file formats of the documents.

Matching with order data (add-on)

If required, Worki can carry out a thorough check and compare the read invoice data with the corresponding order data in the ERP system. This enables discrepancies to be recognized more quickly.

Illustration showing the Workist system matching a purchase order with an invoice. On the left, a purchase order lists an item "Custom yellow T-shirt (XL)" with a price of €7.00. On the right, the invoice shows the same item with a price of €8.00. The Workist mascot is positioned between the two documents, highlighting the discrepancies and matching details such as item number and quantity. This image emphasizes Workist's ability to identify and reconcile differences between related documents.

Process invoices with lightning speed and precision

Type less, automate easily. That's how it works with Workist.

Step 1

Forward to Workist

You simply forward your documents to Workist - whether PDF, Excel or free text emails. Our software can process a wide range of formats.

Illustration showing multiple documents being forwarded towards the Workist mascot, representing the first step in the Workist workflow where documents are forwarded to Workist for processing. The mascot is positioned at the bottom right, ready to receive and handle the incoming documents. This image emphasizes the initial action of forwarding documents to the Workist system for further processing.

Step 2

Extract the data

Workist understands your documents intuitively and automatically extracts all relevant data - regardless of language or layout.

Illustration of the Workist software analyzing a digital document containing company data, billing address, and line items. The Workist mascot or symbol is positioned to the right of the document, pointing towards a section labeled "Analyzing...". This image illustrates the process of business document analysis by the Workist software.

Step 3

Validate the data

All information that Workist extracts from your invoices is validated by the AI using your master data. This is how we guarantee error-free extraction.

Step 4

Transfer to your ERP system

In the final step, the read and validated data can be easily transferred to any ERP system via standard interfaces such as EDI or API.

Illustration of the Workist software transferring extracted and validated data to various ERP systems. On the left, a stylized Workist mascot holds a data cube. Arrows from the mascot point to three labeled data transfer methods: EDI, API, and XML. These methods connect to logos of different ERP systems on the right, including SAP, Microsoft, Sage, Oracle, PRO ALPHA, and abas ERP, indicating the integration of data into these systems.

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