How Emirates Insurance Uses Snowflake AI to Cut Claims Processing 40% and Automate 380 Hours
Emirates Insurance, a UAE insurer operating for over 40 years, deployed Snowflake’s AI Data Cloud on Azure to unify its data and automate manual workflows across business units. The platform integrates with dbt for transformations, Dagster for orchestration, and Qlik for analytics, delivering a 360-degree view of broker and customer activity. Motor claims registration is now 30–40% faster, and the team automated 380 hours of work in its first three months.
Impact
30-40%
Motor claims registration speed improvement
380 hours
Work automated in first three months
Challenge
Legacy on-premises systems created data silos across business units, required manual API-building to access customer data, and gave teams no reliable visibility into broker or customer behaviour — blocking the automation needed to reach profitability targets.
Solution
Snowflake AI Data Cloud on Azure was deployed with dbt for transformations, Dagster for orchestration, and Qlik for analytics, unifying all data in one compliant platform and enabling AI-powered automation across claims, underwriting, and broker management.
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.”
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Full Story
Emirates Insurance has operated across the UAE for over four decades, building a reputation for accurate underwriting and strong broker relationships. But as the business set a goal to double revenue while maintaining profitability, its leadership recognised a fundamental gap: the legacy, on-premises data infrastructure couldn’t support the automation and AI-driven insight that modern insurance demanded.
Before Snowflake, every business unit needed manual effort to extract insights, visibility into broker and customer behaviour was fragmented, and data freshness was unreliable. Analysts had to build custom APIs to connect systems, and teams fell back on workarounds that compounded inefficiency.
Working with partner In516ht, Emirates Insurance built a new data platform on Snowflake, running on Azure. The stack pairs Snowflake with dbt for data transformations, Dagster for orchestration, and Qlik for analytics workloads. Snowflake’s local UAE deployment was a decisive factor: it allowed the insurer to comply with strict data sovereignty requirements while gaining the agility to launch new use cases.
The results arrived quickly. Motor claims registration is now 30–40% faster through AI-powered document ingestion and automation. Across all business functions, the team automated 380 hours of work in the first three months. With unified data, relationship managers can now access enterprise-wide broker insights rather than relying on individual knowledge.
Emirates Insurance is building toward AI-powered underwriting, with Snowflake’s AI tools enabling automatic ingestion of unstructured documents to accelerate quoting and claims.