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Title

UNIQA SEE cuts health insurance claims processing times by 90% with Azure AI

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UNIQA SEE cuts health insurance claims processing times by 90% with Azure AI | Microsoft Customer Stories This is the Trace Id: 73bc825f996c09ed0663b8ea48af…

Description

UNIQA SEE's claims handlers faced fragmented documents, manual tasks, and heavy call-center reliance that slowed claims processing. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE built an end-to-end AI-driven medical referral solution that extracts, validates, and integrates referral letter data via APIs into the core claims system. The solution reduced claims processing time from 15-30 minutes to 2-3 minutes (an 85-90% reduction), lowered costs and call volumes, and freed staff for higher-value work. UNIQA SEE also introduced a self-service web and mobile app allowing customers to submit medical referral letters digitally. UNIQA SEE became the first insurer in Southeastern Europe to implement an AI-powered business process solution of this kind.

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…aim processing, increased costs, and negatively impacted customer satisfaction. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE extracted, validated, and integrated referral letter data via APIs, creating an end-to-end, AI-driven medical referral solution. The solution reduced claims processing time from 15-30 minutes to 2-3 (an 85-90…
…ter data via APIs, creating an end-to-end, AI-driven medical referral solution. The solution reduced claims processing time from 15-30 minutes to 2-3 (an 85-90% reduction) alongside lowering costs and call volumes while freeing staff for higher value work. READ THE STORY As a company built on the promise of bringing trust to customers…

Company

UNIQA Insurance Group

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…EAD THE STORY As a company built on the promise of bringing trust to customers, UNIQA Insurance Group’s health insurance offer was growing rapidly across Southeastern Europe. Providing a seamless claims process was crucial to its continued success. But,…

Country

Austria

classification · high
…enAI in Foundry Models SERVICES AND SUPPORT ORGANIZATION SIZE 10,000+ employees COUNTRY/REGION Austria BUSINESS NEED Modern infrastructure INDUSTRY Insurance Share the story Explore…

Region

Europe

classification · medium
…enAI in Foundry Models SERVICES AND SUPPORT ORGANIZATION SIZE 10,000+ employees COUNTRY/REGION Austria BUSINESS NEED Modern infrastructure INDUSTRY Insurance Share the story Explore…

Industry

Insurance

classification · high
…ZE 10,000+ employees COUNTRY/REGION Austria BUSINESS NEED Modern infrastructure INDUSTRY Insurance Share the story Explore related stories /h2> "> Explore related stories Stories…

Problem

UNIQA SEE's claims handlers faced fragmented and complex documents, manual tasks, and heavy reliance on call center interactions, all of which slowed claims processing, increased costs, and negatively impacted customer satisfaction. Complex cases could require up to an hour of manual work to review dozens of documents, often handwritten, unstructured, and in a different format for each medical institution.

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…n the most experienced claims handlers were struggling with the volume of work. Some of the more complex cases would require up to an hour of manual work to review and understand dozens of complicated documents. Often these documents would have handwritten notes, were unstructured, and each medical institution would use a different format. It was rarely straightforward.” Validating each document was also a manual, tim…

Solution

UNIQA SEE built an end-to-end AI-driven medical referral solution using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, extracting, validating, and integrating referral letter data via APIs into the core claims system. Azure Document Intelligence standardized the structure of documents arriving in different formats by building templates and standardized readings. UNIQA SEE also introduced a self-service web and mobile app allowing customers to submit medical referral letters digitally, with AI validating documents, matching price lists, and preparing claims behind the scenes.

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…ifferent formats, with inconsistent fields even across the same document types. The company used Azure Document Intelligence to handle standardizing the structure of these documents; building templates and standardized readings that normalized outputs before sending them back into the system. But this wasn’t going to be easy. “The edge cases never stop,” says Milovanovic…
…, efficiency increased, and employees were free to focus on higher‑value tasks. UNIQA SEE also introduced a new self‑service web and mobile application, allowing customers to submit medical referral letters digitally without employee interaction. Behind the scenes, AI validated documents, ensured price list matching, and pre…

Business value

Claims processing time dropped from 15-30 minutes to 2-3 minutes on average, an 85-90% reduction. Call center volumes decreased, efficiency increased, and employees were freed for higher-value work. UNIQA SEE became the first insurer in Southeastern Europe to implement an AI-powered business process solution of this kind.

quote · high
…ter data via APIs, creating an end-to-end, AI-driven medical referral solution. The solution reduced claims processing time from 15-30 minutes to 2-3 (an 85-90% reduction) alongside lowering costs and call volumes while freeing staff for higher value work. READ THE STORY As a company built on the promise of bringing trust to customers…
…operations The new solution also represented a broader shift for the industry. UNIQA SEE became the first insurer in Southeastern Europe to implement an AI-powered business process solution of this kind, going beyond the region’s current efforts of voice- and chatbots. “We’re ahead of the market and we’re continuing to innovate,” says Simunovic. “…

AI capabilities

Generative AI, Document Intelligence

classification · medium
…ed customer satisfaction. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE extracted, validated, and integrated referral letter data via APIs,…

Technology

Microsoft Azure AI, Microsoft Foundry, Azure Document Intelligence, Azure OpenAI

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…f Operations, UNIQA Serbia Discover more details CUSTOMER UNIQA Insurance Group PRODUCTS Azure Microsoft Foundry Azure Document Intelligence in Foundry Tools Azure OpenAI in Foundry Models SERVICES AND SUPPORT ORGANIZATION SIZE 10,000+ employees COUNTRY/REGION Austria…

Deployment model

cloud

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…aim processing, increased costs, and negatively impacted customer satisfaction. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE extracted, validated, and integrated referral letter data via APIs,…

Deployment options

cloud

classification · medium
…aim processing, increased costs, and negatively impacted customer satisfaction. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE extracted, validated, and integrated referral letter data via APIs,…

Implementation approach

UNIQA SEE ran hands-on hackathons and working sessions with Microsoft Cloud Solution Architects and UNIQA SEE engineers to accelerate skills, co-build patterns, and make the solution production-ready within existing architecture and governance constraints.

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…ually found that Foundry was the perfect choice.” To make a success of Foundry, the company ran a series of hands-on hackathons and working sessions with Microsoft Cloud Solution Architects and UNIQA SEE engineers. The aim? To accelerate skills, co-build patterns, and make the solution production-ready within their existing architecture and governance constraints. This engineering-first collaboration model helped win the hearts and minds of i…

Onboarding approach

This engineering-first collaboration model helped win the hearts and minds of UNIQA SEE's engineers, enabling the broader platform adoption the company wanted to achieve.

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…production-ready within their existing architecture and governance constraints. This engineering-first collaboration model helped win the hearts and minds of its engineers, enabling the broader platform adoption it wanted to achieve. “Making AI work with our existing infrastructure was always going to be the har…
Capture details
Captured
25 Aug 2026, 23:22 UTC
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fetch-strip@1
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b03b68244f6163a1825d4d5c5241b00f451e8cd7e1e8e1238806ef1042218085