Why Insurance Companies Should Rely on AI and Intelligent Document Processing

Published April 17, 2025

Marius Gotschol Buildsimple

Intelligent Document Processing Insurance

The insurance industry is currently undergoing an exciting transformation. With advancing digitalisation, the emergence of new technologies, and the growing desire for tailored solutions, insurers are faced with the task of rethinking their traditional models. The focus is increasingly shifting away from standardised procedures towards individual, automated processes that can cater to specific needs. IDP Insurance plays a central role in this.

Changes in Document Management

This transformation is also evident in the field of document management. Instead of piles of paper and manual processing, digital document platforms are emerging that not only facilitate access but also drastically reduce processing times. Additionally, automated workflows enable faster and more precise processing of applications and damage reports, making the entire insurance process significantly more efficient and user-friendly for customers. IDP Insurance offers a promising solution in this regard.

The insurance industry is currently facing significant challenges. On the one hand, there is increasing pressure to process customer inquiries more quickly and accurately, and the expectation for timely responses and individual support is rising. At the same time, the volume of unstructured data, such as incoming documents and claims, is massively increasing. IDP Insurance can help meet these challenges.

In the field of document management, the situation is becoming more acute: dealing with large volumes of documents and their manual processing is increasingly inefficient. Overall, insurers must find innovative approaches to meet these challenges and future-proof their processes. Intelligent Document Processing (IDP) Insurance offers a promising solution by enabling the automated and precise processing of documents, thus meeting the growing demands for speed and accuracy.

Definition of Intelligent Document Processing (IDP)

Intelligent Document Processing (IDP) represents a significant advancement in document processing, utilising modern technologies such as artificial intelligence and machine learning to analyse and process unstructured documents. At its core, IDP involves automatically scanning large volumes of documents and precisely extracting relevant information. This includes documents like invoices, contracts, or forms, which typically exist in unstructured formats and are difficult to process efficiently through manual handling.

A Key Technology for Addressing Challenges in the Insurance Industry

Functionality The functionality of IDP is based on advanced techniques such as Optical Character Recognition (OCR), which enables the recognition and digital conversion of text from documents. This is complemented by the use of Artificial Intelligence (AI) and Machine Learning, allowing IDP systems to identify patterns and relationships within specific data sets. AI algorithms can not only enhance the efficiency of document processing but also learn to improve over time.

  • Artificial Intelligence helps increase the accuracy of extracting relevant information from complex documents by continuously optimising systems based on new data.
  • Machine Learning enables documents to be automatically classified to determine their type and category. This allows incoming mail or other documents to be accurately assigned to the appropriate departments or document types. Additionally, documents can be easily converted into structured data through image and text analysis methods. This approach leads to the rapid and efficient identification and extraction of information from documents. The extracted data can then be integrated and further processed in various systems in the form of JSON files.

Potentials

In the insurance sector, IDP unfolds its full potential, particularly in the automated processing of claims, policy adjustments, and customer documents such as applications or insurance certificates. By making these typical processes more efficient and reducing manual interventions, IDP significantly contributes to shortening processing times while simultaneously increasing the accuracy of data processing.

As part of our strategic development, we at d.velop aim to strengthen our position in the Financial Services segment in the future. In light of the growing regulatory pressure, including from DORA, we see a significant need for intelligent solutions that meet the highest security and data protection requirements. With Buildsimple, we have found an ideal partner who already has excellent customer relationships in the industry and develops pioneering technologies that will shape the digital business processes of tomorrow.

Hendrik Fundermann
COO Business Division Financial & Professional Services
d.velop

Use Cases of Intelligent Document Processing for Insurance

Efficient Processing of Claims

Processing claims in the insurance industry is often laborious, as numerous documents such as claims reports, assessments, and repair invoices need to be manually reviewed. IDP solutions can significantly simplify this process. They automatically extract relevant data from the documents and transfer it to internal systems. This reduces manual work, allowing claims to be processed faster and more accurately. This leads to more efficient handling and a better experience for customers.

Detection of Fake and AI-Generated Images

In the daily work of insurers, employees often face the challenge of verifying the authenticity of damage images. The increase in fake and AI-generated images makes this task considerably more difficult, as manipulated images can affect the accuracy of damage assessments.

Using advanced detection software, images are automatically and reliably checked for deepfakes and other manipulations. The analysis is completed in seconds and provides a detailed assessment of the image’s authenticity. This quick and precise verification helps ensure the credibility of the images and reduces fraud through fake damages.

Classification of Incoming Mail

By using machine learning, the automatic classification of documents is enabled. Advanced algorithms can precisely identify and categorise the type of incoming mail. This allows for efficient and error-free assignment by automatically recognising the type of document and categorising it accordingly. This significantly facilitates the processing and organisation of incoming mail and optimises overall workflows.

Detection of Redactions and Handwritten Additions

Insurance companies need to check numerous documents for changes daily, which is very time-consuming with manual methods. Intelligent Document Processing (IDP) offers an efficient solution by automatically detecting redactions in documents and distinguishing between documents with and without redactions. This can, for example, reduce the effort for manual reviews or even the risk of undetected manipulations in contract management.

Compliance Reporting

Compliance reporting is crucial for insurance companies, as they regularly need to create detailed reports to comply with legal regulations. Intelligent Document Processing (IDP) can provide essential support in this context. By automatically capturing and analysing relevant data from various documents, IDP helps to create complete and accurate reports. This significantly reduces the need for manual work while minimising human errors.

Benefits of Intelligent Document Processing for Insurance

  • Faster Document Processing: IDP automates the extraction and processing of data from documents, significantly reducing processing times and making insurance processes more efficient overall. This enables quicker responses to customer inquiries and faster claims settlement.
  • Reduction of Errors: Manual document processing is prone to human errors, as it often involves repetitive and monotonous tasks that can lead to fatigue and distraction. Intelligent Document Processing (IDP) minimises these sources of error by automatically analysing and processing documents, reducing reliance on manual input and increasing accuracy.
  • Cost Savings: Automating document processes lowers operational costs, as processes can be completed more efficiently and quickly. Reducing administrative tasks allows employees to use their time more effectively for value-added activities, thereby increasing overall efficiency within the company.
  • Improved Customer Experience: Faster processing and more accurate data handling enable insurance companies to respond to customer inquiries more quickly and provide better service quality. This promotes customer satisfaction and can lead to higher customer retention.
  • Enhanced Compliance and Security Standards: IDP supports compliance with regulatory requirements and security standards by making document processing traceable, facilitating audits, and protecting data integrity. This reduces the risk of compliance violations and protects against potential security threats.

d.velop platform with Integrated IDP Services

Technological development in the field of artificial intelligence is advancing faster than ever. Through close collaboration with specialised AI companies, d.velop offers the best possible conditions for companies to stay up-to-date with the latest technology. On the d.velop platform, you receive comprehensive AI support in the document management process. By integrating the IDP provider Buildsimple, you can utilise extensive AI capabilities. Pre-trained AI models for claims processes in insurance are already available for practical use. This offering is continuously expanded, with a particular focus on the financial sector.

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