Title
ARC Europe cuts claims processing time 83% with a GPT-based AI agent on Azure
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Description
ARC Europe, a European roadside assistance and insurance provider, worked with Netguru to build a proof-of-concept AI agent on Microsoft Azure that automates insurance claims analysis. The GPT-based agent compares incoming claims against case history and attachments, summarizes the ticket, and gives a human operator an initial recommendation before final sign-off. Built in about six weeks, the prototype cut claims assessment time from 30 minutes to 5 minutes, an 83% reduction, while maintaining built-in compliance checks.
…periods. What we did A GPT-based agent that hands the operator a recommendation In about six weeks, we built a PoC AI agent on Microsoft Azure that analyzes claims, checks compliance and drafts a report. It fits into ARC Europe's existing processes and leaves the final decision to a…
Company
ARC Europe
…trate. 83% Less time per claim Assessment down from 30 minutes to 5. The client ARC Europe is a European automotive assistance provider, delivering roadside assistance and insurance services through a network that covers 42 countries. Beyond its traditional services, it supports the shift to electric mobility wit…
Industry
Insurance
…trate. 83% Less time per claim Assessment down from 30 minutes to 5. The client ARC Europe is a European automotive assistance provider, delivering roadside assistance and insurance services through a network that covers 42 countries. Beyond its traditional services, it supports the shift to electric mobility wit…
Problem
Traditional claims processing requires extensive manual reviews, slowing down resolution times and impacting customer satisfaction; different claims handlers may interpret claims differently, leading to inconsistencies and disputes, and the manual approach limits the company's ability to scale or handle high-demand peaks.
…and leave less room for human error. Challenge 01 Reviews done entirely by hand Each claim took around 30 minutes of manual review, slowing resolution for customers. Challenge 02 Two handlers, two answers The same claim could be read differently…
Solution
Netguru built a GPT-based AI agent PoC, running on Microsoft Azure, that receives a claim, compares it against case history and attachments using an LLM, summarizes the ticket and gives a human operator an initial recommendation, with the human operator making the final decision.
…h one is assessed the same way. Area 02 · Analysis LLM Compared against history The LLM compares each claim with past cases and the customer's attachments, with compliance checks built in. Area 03 · Recommendation AI A summary the operator can act on Operators get a t…
Business value
The prototype, built in about six weeks, reduces claim assessment from 30 to 5 minutes (about 83%), increases assessment accuracy, and ensures adherence to industry regulations with built-in compliance checks.
…. 6 Weeks to the prototype How long the AI agent took to build and demonstrate. 83% Less time per claim Assessment down from 30 minutes to 5. The client ARC Europe is a European automotive assistance provider, delivering…
Headline outcome
…. 6 Weeks to the prototype How long the AI agent took to build and demonstrate. 83% Less time per claim Assessment down from 30 minutes to 5. The client ARC Europe is a European automotive assistance provider, delivering…
Use case type
Decision support
…on Microsoft Azure that analyzes claims, checks compliance and drafts a report. It fits into ARC Europe's existing processes and leaves the final decision to a person. Area 01 · Intake Process Every claim enters one pipeline Claims and their attac…
AI capabilities
Agentic AI, Document Intelligence
…checks built in. Area 03 · Recommendation AI A summary the operator can act on Operators get a ticket summary and an initial recommendation, cutting assessment from 30 to 5 minutes. Client testimonial Netguru’s AI expertise has helped us automate our claim proc…
Technology
GPT, Microsoft Azure
…sztof Pająk CEO at ARC Europe Polska Tech stack The tools that made it possible 01 GPT The model doing the comparison, summarising and first-pass assessment. 02 Microsoft Azure The prototype’s home, chosen for secure, scalable and compli…
Deployment model
cloud
02 Microsoft Azure The prototype's home, chosen for secure, scalable and compliant infrastructure.
Deployment options
cloud
02 Microsoft Azure The prototype's home, chosen for secure, scalable and compliant infrastructure.
Capture details
- Captured
- 03 Oct 2026, 05:23 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- fa61694ec2a2c7a91612bb11c6cef1ef851b1cfecd68ae1db99eb633a447b6c7