AI case study

Emirates InsuranceClaims processing

Reviewing police reports and IDs took days of manual work. Now, AI extracts the data instantly, freeing teams to resolve claims faster.

Published|today

Key results

Time Savings
380 hours
Processing Time Reduction
30-40%

Result highlights

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The story

Context

An insurance provider operating across the United Arab Emirates for over 40 years, seeking to double its revenue across commercial, retail, and international business lines.

Challenge

Legacy on-premises systems required data teams to manually build APIs to extract basic insights, severely limiting visibility into broker and...

Solution
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Quotes

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The company

Emirates Insurance logo

Emirates Insurance

eminsco.com

Multi-line insurance provider for commercial and personal risks in the UAE.

IndustryInsurance
LocationAbu Dhabi, United Arab Emirates
Employees251-1K
Founded1982

The implementation partner

Role in this case study

Helped Emirates Insurance transition from legacy, on-premises systems to a modern data platform.

IndustryTechnology
LocationLjubljana, Slovenia
Employees51-250
Founded2013

The vendor

Cloud-based data warehousing, processing, and analytics platform.

IndustrySoftware & Platforms
LocationBozeman, MT, USA
Employees5K-10K
Founded2012

Use case

Emirates Insurance's Claims processing is part of this use case:

Data Extraction
119 case studies(+43% YoY)
Proven impact?
LowModerateVery Strong
4.3Moderate
6.9Strongwithin Insurance
4.8Moderatewithin Operations

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