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Intelligent claims management and fraud detection in seconds

Fraud costs insurers huge sums every year. Our AI-supported Claim Management Agent recognizes suspicious claims as they are reported and so reduces fraud costs.

Equipped with deep learning, anomaly detection, deepfake analysis, and multimodal foundation models, the Agent checks every report for plausibility—from image analysis and geo-checks to cost estimates—always providing transparent reasoning. The result: efficient support for claims handlers throughout the entire claim management process and a powerful protective shield against fraud that detects up to 16 percent more suspicious claims than conventional systems.

Benefits for insurers

Reliable fraud detection

The Agent recognizes patterns, images, and connections that humans struggle to identify—across regions, properties, and historical cases. This enables it to reliably detect even complex fraud attempts.

Cost reduction through speed

The automated plausibility check reduces manual verification costs and ensures cases are processed faster.

Support for existing processes

With its human-in-the-loop approach, the Agent supports administrators with existing processes, increases speed, and minimizes errors.

Locally developed, locally operated

Swiss-made: Developed right here in Switzerland, the Claim Management Agent is tailored to your needs and can be operated on-premise or in a Swiss private cloud.

The Claim Management Agent step by step

Claim assessment

The client registers their claim via their insurance portal and uploads damage information including pictures.

Plausibility check and fraud scoring

The Agent checks the claim report for indications of fraud and to determine its plausibility. It uses rule-based checks and deepfake and manipulation assessments to detect anomalies and calculate a fraud score.

Damage classification

Based on the information provided, such as images and descriptions, the damage in the images is located and segmented in order to classify the claim and record it in detail.

Cost estimate

The submitted information, historical comparative cases, prices from local tradespeople, and AI-enhanced data are all evaluated to generate an AI-supported cost estimate. The calculation is supplemented with a transparent justification.

Automatic completion and validation of information

If information is missing or appears to be incorrect, the LLM automatically requests the necessary details from the customer during the claim reporting process—almost in real time. The claims handler checks the information, makes amendments if necessary, and confirms the analysis.

Interested?

We adapt the claim management agent to meet your specific needs.

Contact us

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Lisa Kondratieva

Head of AI & Digital Solutions

Lisa Kondratieva

Detect fraud faster, streamline operations, and cut costs—with AI that adapts to your insurance company’s specific needs.