Insights

A Fortune 500 insurance carrier modernized its data infrastructure, reducing technical debt by 97% while maintaining operational continuity.

Unified data across 64 lines of business, reducing manual reconciliation by 70% and accelerating loss ratio reporting by 85%.

Automated financial reconciliation across 64 lines of business, reducing month-end close from 10+ days to 3-4 days and errors by 80%.

Deployed governed GenAI to analyze 100,000+ insurance documents for PFAS clauses, reducing manual review effort by 70-80%.

Migrated 3,500+ data mappings to Snowflake across six business domains, reducing dataset onboarding from weeks to days.

Achieved 25-30% reduction in runtime costs by shifting from rigid scheduling to event-driven data orchestration.

Cut Spark cluster startup overhead from 8+ minutes to ~2.5 minutes, stabilizing analytics for end-of-day and month-end reporting.

Consolidated legacy merchant applications into a unified GCP platform, reducing onboarding from 3 weeks to 2 days and maintenance effort by 60%.

Doubled developer productivity and increased sprint velocity by 50% by embedding AI across the software delivery lifecycle.

Replaced manual ETL scripting with a metadata-driven framework, reducing development effort by 80% and increasing engineering capacity 5x.

Delivered Oracle migration with zero production defects while improving release velocity by 40% through shift-left testing.

Modernized an 18,000-job Ab Initio ETL estate through phased migration to Informatica, establishing a repeatable framework across 40+ subject areas.

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