How Emirates Insurance Uses Snowflake AI to Cut Claims Time 30-40%
Emirates Insurance is a UAE-based insurer operating across commercial lines, retail, and international business for over 40 years. The company deployed Snowflake’s AI Data Cloud on Azure to automate reconciliation, document processing, and claims workflows. Within three months, the platform automated 380 hours of manual work and accelerated motor claims registration by 30–40%.
Impact
30-40%
Faster motor claims registration with AI
380 hours
Hours of work automated in 3 months
Challenge
Emirates Insurance operated on legacy on-premises data systems that required extensive manual effort to generate insights, lacked real-time visibility into customer and broker behavior, and could not scale automation to meet its goal of doubling revenue while sustaining profitability.
Solution
The insurer deployed Snowflake’s AI Data Cloud on Azure, using AI-powered OCR and automation to streamline claims intake, document processing, and reconciliation workflows, with UAE-local hosting ensuring compliance with data sovereignty regulations.
Tools & Technologies
What Leaders Say
“Our aim is to double our revenue while ensuring continued profitability and innovation. There’s just no way to achieve this if you don’t have the modern data capabilities needed to automate.”
“Documentation processes that used to take days of back and forth are now instant. We can process these claims 30-40% faster, allowing us to offer more responsive services, accelerate service level agreements and improve our relationships with customers and brokers.”
“Snowflake’s roadmap was really clear. When we saw how they were talking about AI, and how the tools are constantly evolving, we knew it was a partner we could build and grow with successfully.”
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Full Story
Emirates Insurance has served the UAE market for more than four decades, building its reputation on precise underwriting and strong broker relationships. As the insurer set a goal to double revenue while maintaining profitability, its leadership recognized that human expertise alone could no longer scale efficiently. Manual data pipelines, siloed systems, and limited visibility into broker and customer behavior were slowing down every team.
Before adopting Snowflake, the data infrastructure at Emirates Insurance relied on legacy on-premises systems that required significant manual effort just to produce basic insights. Analysts had to build APIs by hand to connect core systems, reconciliation took days, and the lack of trust in data freshness forced business teams into inefficient workarounds. There was no enterprise-wide view of how brokers or customers were interacting with the company’s policies.
Working with Snowflake partner In516ht, Emirates Insurance rebuilt its data foundation on Snowflake’s AI Data Cloud, running on Azure within UAE-hosted servers to meet strict data sovereignty requirements. The platform integrates with Qlik for analytics, dbt for transformations, and Dagster for orchestration. AI-powered optical character recognition now handles police incident reports, identity verification, and vehicle license plate reading—tasks that previously required days of back-and-forth between teams.
The results were immediate and measurable. Over a three-month window, the automation layer eliminated 380 hours of manual work. Motor claims registration accelerated by 30–40%, enabling the company to meet service level agreements faster and improve its responsiveness to customers and brokers. Underwriters gained unified portfolio visibility to assess localized risk from weather events—enabling better pricing and reduced exposure.
EmiratesInsurance is now building on this foundation with an internal chatbot that helps underwriters query policy details in natural language, and an automated quote intake tool designed to deliver broker quotes instantly. The insurer views Snowflake not just as a data platform but as the engine for a broader AI-driven transformation that will define its next decade of growth.