8 reasons why intelligent document processing will transform your business

August 20, 2024
IDP Platform
Marius Gotschol

"Companies around the world currently generate an enormous volume of data every day. Processing unstructured and semi-structured documents is a complex task for companies. 80% of all corporate data is currently embedded in unstructured formats such as business documents, emails, images and PDFs. There is anincreasing need for organizations to process large volumes of semi-structured and unstructured documents with greater accuracy and speed." (Source) The solution to this is intelligent document processing with AI, find out more in the following blog article.

What is intelligent document processing and why is it so important for your company?

Automated document analysis, also known as intelligent document processing, plays a crucial role in the success of a company. It involves classifying, extracting, summarizing and generating significant insights about documents of all types. The ability to analyze these documents efficiently and extract valuable information from them is essential.

As digitalization progresses, automated methods have become established that are revolutionizing the entire process. Companies are increasingly relying on technologies such as artificial intelligence (AI), machine learning and optical character recognition (OCR) to process documents faster, more accurately and more cost-effectively. This enables faster decision-making, better compliance with legal regulations and data protection guidelines, as well as minimizing human error. It also reduces operating costs, which increases a company's competitiveness.

Automated document analysis shows how modern technologies are transforming traditional business processes and helping companies to work more efficiently and focus better on their core tasks. These technologies help companies to be successful in an increasingly digital world.

Dull manual tasks are a thing of the past

Manual document processing is the process by which people read, review and interpret documents to extract and analyze relevant information. This often requires careful review of texts, highlighting important passages, comparing data and creating summaries or reports. Manual document analysis is time-consuming and error-prone as it relies heavily on the concentration and accuracy of the person performing it. It is often used in situations where there is complex or unstructured data that cannot be easily processed by automated systems.

Intelligent document processing uses technologies such as AI and machine learning. The individual steps at a glance:

Optical character recognition (OCR): OCR technology is used to recognize text from scanned images or PDFs and convert it into machine-readable text. OCR software identifies and converts printed or handwritten characters into digital data.
Natural language processing (NLP): NLP algorithms analyze the recognized text to extract contextual information. This includes the recognition of entities (e.g. names, dates, places), the classification of texts and the recognition of key words and phrases.
Machine learning (ML): ML models are trained to recognize patterns and relationships in the data. These models can classify documents, extract relevant information and make predictions based on the analyzed data.
Document classification: Documents are categorized based on their content and purpose. This can be done using predefined rules or trained ML models.
Data extraction: Specific information is extracted from the documents and transferred into structured formats such as tables or databases. This facilitates further processing and analysis of the data.
Validation and enrichment: Extracted data is checked and, if necessary, enriched with additional information to ensure its accuracy and completeness.
Integration and storage: The analyzed and extracted data is integrated into company systems and stored in databases or other storage systems. This enables easy access and use of the data for other business processes.

Automated, efficient, time-saving?
8 advantages of intelligent document processing

1 - Increased efficiency: By automating document processing, companies can process large volumes of documents faster and more accurately than is possible manually. This leads to considerable time savings and allows employees to concentrate on more value-adding tasks.

2 - Cost reduction: Automated systems reduce the need for manual intervention, which lowers labor costs. They also reduce errors that could lead to costly corrections.

3 - Satisfied employees: This relief from monotonous tasks can increase employee motivation and satisfaction and promote a positive work environment, which improves the overall productivity of the team.

4 - Accuracy and consistency: Automated processes minimize human error and ensure consistent quality in data processing. This is particularly important in industries where precision is crucial, such as finance or healthcare

5 - Security & Compliance: Buildsimple invests in robust security measures to protect its systems and data. In addition, Buildsimple is ISO 27001 certified and can be used in regulated industries without any problems.

6 - Data accessibility and analysis: By digitizing and structuring documents, companies can access important information more easily and use it for analysis. This enables well-founded decisions and strategic insights.

7 - Scalability: Automated document processing systems can be easily adapted to growing data volumes and changing business requirements. They offer the flexibility to keep pace with the growth of the company.

8 - Improved customer experience: Faster and more accurate document processing enables companies to process customer inquiries more efficiently and therefore increase customer satisfaction.

Conclusion:

It is a huge step for companies that will change the way they have always worked. However, intelligent document processing is revolutionizing the way companies handle documents. By using technologies such as AI, machine learning and OCR, documents can be processed faster and more accurately. This not only reduces human error and saves costs, but also increases efficiency and competitiveness. Companies can analyze large amounts of data and gain valuable insights that lead to better decisions. In a digital world, automated document analysis is an indispensable tool that helps companies to optimize their processes and focus on their core tasks.

Buildsimple: Cloud solution for intelligent document processing

Buildsimple offers you the full range of Intelligent Document Processing as a cloud solution. Convince yourself of our quality and ease of use:

Software-as-a-Service: We take care of operation, maintenance and updates
Compliance: GDPR-compliant, ISO 27001 certified and can be used in BaFin-regulated companies.
Fast implementation: no complex and expensive AI projects necessary
No-code: our platform is designed for the specialist area
Average cost savings of 70% after 6 months