AI Agent PoC to Reduce Claims Processing Time by 83%

Contents
Netguru partnered with ARC Europe, a European expert in automotive assistance, to develop an AI agent PoC for insurance claims analysis, reducing manual workload and enhancing accuracy.
Client
With a network covering 42 countries, ARC Europe is a leading provider of roadside assistance and insurance solutions across Europe. Apart from traditional services, ARC Europe supports the electric transition with a pioneering assistance ecosystem for electric vehicles.

Project
The company sought an innovative approach to claims processing that could increase efficiency and reduce human errors.
The project involved creating a proof-of-concept (PoC) AI agent capable of automating insurance claims analysis using a GPT-based model.
In around six weeks, Netguru developed a prototype to demonstrate the feasibility of using AI to streamline claims assessment, reducing manual effort while ensuring accuracy and compliance.
Key Challenges
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Traditional claims processing requires extensive manual reviews, slowing down resolution times and impacting customer satisfaction.
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Different claims handlers may interpret claims differently, leading to inconsistencies, disputes, and the need for re-evaluation.
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The current manual approach limits the company’s ability to scale operations efficiently.
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Manual approach is not flexible enough for high-demand peaks.
Solution
Netguru developed an AI-driven claims analysis system that leverages GPT technology to automatically process claims, assess compliance, and generate reports.
The system integrates with ARC Europe’s existing processes and uses a large language model to improve claim assessment accuracy over time.
The prototype was built on Microsoft Azure, ensuring a secure, scalable, and compliant infrastructure.
The analysis is done in four phases:
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Claim is received by the system (input)
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LLM model compares the client claim with case history and attachments provided by the customer
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AI model summarizes ticket and provides initial recommendation for human operator decisions
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Human operator makes the final decision and provides an answer to the client.

Results
The AI prototype significantly reduces the time required for claims assessment, while machine learning-driven analysis minimizes human errors and ensures consistency.
What’s more, the solution provides a foundation for future expansion, enabling ARC Europe to handle more claims efficiently.
The new system:
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was delivered in less than 6 weeks,
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reduces claim assessment from 30 to 5 minutes (by ca. 83%),
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increases assessment accuracy,
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ensures adherence to industry regulations with built-in compliance checks.
With the successful completion of the prototype, ARC Europe is evaluating next steps for full-scale implementation to bring AI-driven automation into production.
