Dokumentenanalyse mit KI

01/24/2023

From automating individual work steps on the document to creating a basis for the strategic development of the portfolio of offerings - automated document analysis holds enormous potential for companies.

What AI for document analysis can do

Latest technology reliably extracts information

Document analysis is the basis for automated document processing and an important building block in the digitalization of numerous business processes. It is about recognizing important information from documents, such as invoices, delivery bills or contracts, and making it available in a structured form. Document analysis using AI technology makes it possible to evaluate even complex information from non-standardized documents - quickly and precisely.

From theory to the company

Document analysis in practical use

Intelligent processing of even complex and long documents

The use of AI-based document analysis not only saves time, but can revolutionize the entire work process. Not only can information be extracted from “classic” supporting documents, such as invoices - even complex documents, such as contracts or scientific studies, can be automatically analyzed for specific content. This could be a contract clause or the result of a medical treatment. During document analysis, the AI recognizes content regardless of the exact wording and also regardless of where exactly in the document the information is located.

Information availability

The very fact that document analysis is performed “technically” by AI makes it possible to check large volumes of text quickly and in a structured manner - previously an organizationally complex and personnel-intensive process that was often not realistically possible at all. The AI-based document analysis checks hundreds of contract documents for specific content in a very short time and makes this, previously “hidden” information accessible.

Faster, more precise processing

This not only significantly increases recognition rates for document analysis of “classic” documents, but also makes it possible to automatically read out information that was previously only available through the use of personnel.

Advantages of document analysis with AI

Time saving

Automated document analysis enables faster processing - which increases efficiency and, above all, massively speeds up processes overall.

Cost savings

Automated document analysis reduces the cost of personnel and materials required for manual processes. It also reduces the number of errors and eliminates the associated costs (time spent, lost customers, or actual monetary amounts).

Quality improvement

Process documents more precisely and accurately: Document analysis with AI reduces the probability of errors and thus significantly increases the quality of the results.

Scalability

Once implemented - set up for the future: AI-based document analysis can also be easily used for a larger number of documents. Companies can thus quickly adapt their processes to growing requirements.

Compliance

All processes must run in accordance with the applicable legal and regulatory requirements. AI-based document analysis makes it possible to ensure this even for critical steps in the processing of documents.

Data availability

Data that might otherwise not even be available in this form can be quickly extracted using AI-based document analysis - even from large volumes of documents. Even subsequently, information from newly arriving documents is (almost) immediately available thanks to document analysis. An important factor e.g. for strategic or business decisions.

Workflow automation

Automated document analysis allows documents to be automatically routed to the right people or departments depending on the information they contain.

How the document analysis AI works

Intelligent Document Processing - Technology for process automation

Basic document analysis & classification

Documents from all common input channels can be processed. The AI-based document analysis first recognizes the document type (invoice, contract, etc.), the language and the text modules contained. These are immediately checked for certain characteristics and then slid into the correct subsequent processes.

Extraction of the relevant information

AI-based document analysis recognizes the desired content in context (visual and linguistic). Natural Language Processing (NLP) based on Deep Learning technology is used. Here, all text modules contained in the document are placed in relation to each other, which makes it possible to recognize complex relationships - regardless of the document structure, format and exact wording in the text. The AI reads at a human level.

The document analysis AI learns to recognize the relevant information on the basis of (a few) training documents. Once trained, the “AI model” can extract the desired information reliably and with very high precision.

Quality assurance & data reconciliation

If a system for intelligent document analysis is used, it is usually integrated seamlessly into existing system landscapes. This means that reconciliation with existing data in leading systems (e.g. ERP, CRM) can take place without any problems.

In addition, “human-in-the-loop” is still a component of document analysis solutions - especially when evaluating complex information. This means that there is the possibility of “personally” checking and editing the extracted information. The document analysis system already indicates which content was recognized with which “confidence”. So this process step is also very efficient.

Follow-up workflows & connectivity

The information extracted by the document analysis AI is transferred in a systematic manner. Which process is triggered depends on the industry or company and is based on the requirements and the existing IT landscape. The data can be exported directly or specific workflows can be started (also depending on the information type).

Document analysis software

The AI system for document analysis

Efficient process automation on the document

With kinisto, information from documents of any length and complexity can be converted into structured data and quickly processed further - regardless of the input channel, the formats or the structure of documents. kinisto goes a big step further than conventional systems for document analysis. Based on Natural Language Processing (NLP) with Deep Learning methods, kinisto recognizes information in context and makes it usable.

As a specialist in document analysis with AI technology in practical use, we will be happy to advise you!

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