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AI in the Claims Process: Where Automation Helps—and Where Clear Boundaries Are Needed

  • August 27 2026
  • tech11 GmbH

Why Digital Transformation Today Fails Less Because of Technology—and More Because of Existing System Architectures

For policyholders, a claim is the moment when their insurance company’s promise of service must prove itself. At the same time, claims processing is among the most complex procedures an insurance company faces: documents arrive through various channels, information is missing, and decisions must be made quickly and transparently.

Artificial intelligence can provide valuable support here. Its greatest benefit, however, does not lie in completely replacing human decisions, but in processing information more quickly, reducing routine tasks, and creating a better basis for decision-making.

1. Capturing and Classifying Claims

Claim reports reach insurers via forms, emails, documents, or free-text fields. AI can analyze this content and help identify the type of claim, its urgency, and the appropriate department.

Based on this, cases can be pre-sorted, standardized processes can be handled automatically, and more complex cases can be forwarded to the appropriate processing team. Depending on the specific use case, employees can review the classification and correct it if necessary.

2. Evaluating Documents and Identifying Missing Information

Invoices, expert reports, photos, and other supporting documents contain information that often has to be transcribed manually. AI-powered applications can extract relevant data and make it available in a structured format for further processing.

At the same time, AI can flag missing documents or contradictory information. Automatically recognized information should be validated depending on the use case, as poor image quality or ambiguous content can lead to errors. For standardized and clearly identifiable processes, however, automated processing can enable a high degree of dark processing.

3. Suggest Next Steps

In complex claims processes, claims adjusters must decide what the next required step is: to ask a follow-up question, request an expert opinion, or transfer the case to another department.

AI can analyze the process to date and suggest appropriate next steps. The greatest benefit arises when these recommendations are directly integrated into the existing workflow rather than remaining in a separate, isolated tool.

4. Prepare customer communications

AI can assist employees in preparing responses, follow-up questions, or summaries. This can reduce processing times and contribute to more consistent communication.

Automated information provision is also possible if AI applications can access the relevant insurance and claims data. For example, questions about a specific claim can be answered automatically. It is important that the information used is traceable and that the answers are based on reliable data and sources.

However, a delicate touch is especially required when handling claims. In cases of claim denials, complaints, or complex situations, automatically generated texts should therefore be reviewed by experts and approved before use.

5. Define Clear Boundaries and Responsibilities

The more AI becomes involved in decision-making, the more important transparency and human oversight become. Insurers should therefore clearly define:

  • Which tasks may the AI handle?
  • When must a human make the decision?
  • How are recommendations and decisions documented?
  • Who is responsible?
  • What happens in the event of uncertain or contradictory results?

“Human-in-the-loop” must not be merely a general promise. It must be specifically defined who intervenes, when, and based on what information.

The foundation: an integrable core system

For AI to create real added value in the claims process, it must be able to access relevant and structured information. At the same time, authorizations, process rules, and processing steps must be clearly defined.

The tech11 Insurance Platform supports the digital mapping of claims processes and makes its services available via standardized APIs. In this way, it provides a flexible technological foundation for the integration of specialized analytics and AI applications.

The insurer decides which solutions to use and what tasks they are authorized to perform, based on its technical and regulatory requirements.

Conclusion

AI can accelerate claims processes and specifically reduce the workload on claims adjusters. The key is not to automate as many decisions as possible, but to use AI where it offers concrete and verifiable added value.

With a modular architecture, structured processes, and open interfaces, the tech11 Insurance Platform lays the foundation for a modern, future-proof claims process.

Would you like to learn how modern claims processes can be flexibly implemented within a core insurance platform? Talk to us and get to know the tech11 Insurance Platform.

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