{"id":5321,"date":"2025-12-29T08:30:00","date_gmt":"2025-12-29T07:30:00","guid":{"rendered":"https:\/\/www.d-velop.com\/blog\/?p=5321"},"modified":"2025-12-03T15:03:45","modified_gmt":"2025-12-03T14:03:45","slug":"ai-insurance","status":"publish","type":"post","link":"https:\/\/www.d-velop.com\/blog\/digital-transformation\/ai-insurance\/","title":{"rendered":"Artificial Intelligence in Insurance: Agentic AI & Document Management in Focus"},"content":{"rendered":"\n

In a recent interview, our Senior Solution Engineer, Florian Breuer, offered insights into how AI<\/a> and modern document management technologies are redefining AI in insurance<\/a>. The discussion highlighted emerging trends, key challenges, and the opportunities shaping the industry today. Below, we summarise the most important takeaways.<\/p>\n\n\n\n

<\/span>The data flood in the insurance industry<\/span><\/h2>\n\n\n\n

Insurance companies have always been data-driven. Policy terms, contracts, claims files, regulatory requirements, and internal guidelines form the foundation of daily operations. However, this overwhelming volume of information is increasingly becoming a challenge. Every day, insurers receive new documents via mail, email, or digital portals. In addition, outgoing documents such as policies, claim notices, or invoices must also be stored and managed.<\/p>\n\n\n\n

Traditional document management systems have simplified this process, but they reach their limits when faced with today\u2019s volume and complexity. Employees often have to search manually, click through folder structures, and work with multiple systems at once. This is where artificial intelligence in insurance makes a decisive difference: it transforms simple storage into active knowledge management.<\/p>\n\n\n\n

<\/span>From Generative AI to Agentic AI<\/span><\/h2>\n\n\n\n

A major technological breakthrough came in 2023, when tools like ChatGPT and Copilot demonstrated the power of generative AI. For the first time, it became possible to communicate with a computer in natural language and receive precise answers instantly. For many, this was a revolution\u2014for insurers, it was an opportunity to fundamentally change how knowledge is handled.<\/p>\n\n\n\n

Agentic AI<\/strong> goes one step further. It not only understands queries, but can also perform actions, manage processes, and extract targeted information from document repositories. The d.velop pilot is an example of such a system. It analyses entire file collections, clusters documents based on validity, and provides answers to specific questions\u2014always with direct references to the corresponding sources.<\/p>\n\n\n\n

<\/span>4 Typical Use Cases of Artificial Intelligence in Insurance<\/span><\/h2>\n\n\n\n
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1. More Efficient Customer Service<\/h3>\n\n\n\n
    <\/ol>\n\n\n\n

    Consider a typical customer service scenario: a customer calls and asks whether their e-bike is insured against theft and up to what amount. Although the employee has access to the contract documents, they may not know every detail. Without AI, they would have to search extensively or forward the case to a specialist department. With an AI assistant, the solution is simple: the question is entered, the assistant searches all relevant documents, and returns an immediate, accurate answer. This boosts both efficiency and customer satisfaction.<\/p>\n\n\n\n

    2. Automated document processes<\/h3>\n\n\n\n
      <\/ol>\n\n\n\n

      Every day, insurers receive countless incoming documents\u2014letters, scanned papers, PDFs, or portal uploads. AI can automatically detect, classify, and assign these to the correct file. At the same time, outgoing documents like policies or addendums are stored in a compliant and audit-proof manner. This creates a seamless, automated document workflow that saves time and reduces errors.<\/p>\n\n\n\n

      3. Compliance and Audit Security<\/h3>\n\n\n\n

      One key advantage of artificial intelligence in insurance is its ability to meet compliance requirements. Insurers handle highly sensitive data and are obligated to document it in an audit-proof manner. Modern AI systems therefore not only provide answers, but always include references to the underlying documents. This ensures verifiability and transparency, reduces risks, and increases trust.<\/p>\n\n\n\n

      4. Leveraging Internal Knowledge<\/h3>\n\n\n\n

      Insurers also benefit internally. Guidelines, work instructions, or regulatory requirements can be retrieved via a simple search query. Instead of flipping through long manuals or waiting for feedback from other departments, employees receive the information they need instantly. This accelerates internal processes and improves decision quality.<\/p>\n\n\n\n

      <\/span>Technological Foundations of AI in Insurance<\/span><\/h2>\n\n\n\n

      For artificial intelligence to unfold its full potential in insurance, it requires a combination of multiple technologies:<\/p>\n\n\n\n