Document Processing · Risk Management
Legacy on-premises systems required heavy manual work, limited visibility into broker and customer behavior, and could not support the automation Emirates Insurance needed for profitable growth.
Reported impact
Emirates Insurance automated 380 hours of work over three months, cut motor-claims registration times by 30-40%, improved broker and customer visibility, and created a compliant foundation for expanding AI-driven claims and quoting services.
Emirates Insurance replaced fragmented on-premises systems with a Snowflake-based platform running on Azure so customer, broker, policy, and claims data could support both governed analytics and AI-driven automation. Data lands in Snowflake, where dbt standardizes transformations, Dagster orchestrates recurring pipelines, and Qlik serves customer, broker, and portfolio dashboards to business teams. The same foundation supports AI-assisted document handling: police incident reports, identity documents, and vehicle license plates are ingested and interpreted to speed claims registration and quote intake while reducing manual transcription and data-quality issues. Because Snowflake is deployed locally in the UAE, Emirates Insurance can keep analytics and AI workflows inside a governed environment that also simplifies data-sovereignty compliance. The result is fresher trusted data, broader customer and broker visibility, and a reusable base for future chatbot and quoting use cases.
Customer, broker, policy, and claims data are centralized in Snowflake on Azure, transformed with dbt, orchestrated with Dagster, and served to business users through Qlik. Unstructured claims documents are ingested into the same platform so AI-assisted workflows can accelerate claims and quoting.
30-40% Faster motor claims registration with AI
380 Hours of work automated over 3 months
By unifying policy data in Snowflake, Emirates Insurance can now analyze policies in specific locations to assess overall portfolio risk in the case of localized storm or flood events, for example.
Documentation processes that used to take days of back and forth are now instant.
The AI Data Cloud integrates with Qlik for analytics workloads, data build tool (dbt) for transformations and Dagster for orchestration to unify insights and streamline workloads.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
EIC employs around 351 employees across the UAE.
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