How Emirates Insurance Uses Snowflake AI to Cut Claims Processing 40% and Automate 380 Hours

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.