Multi-region AI-ready data lake for claims and underwriting

Challenge

Fragmented claims, underwriting and customer data across regions prevented ML-driven risk scoring and fraud detection.

Approach

• Delivered a multi-region data lake with governed ingestion of claims, underwriting and customer data.
• Enabled ML risk scoring and fraud analytics on top of the curated data layer.
• Embedded compliance, data residency and security requirements into the architecture.

What I took away

• Data residency constraints are an architecture input, not a late compliance review item.
• A curated layer with clear ownership is what makes ML adoption repeatable.