Case studies

Three examples of leading AI-enabled products from ambiguity to production — with enterprise constraints, real users, and measurable outcomes.

Industry: Insurance • Scope: Enterprise workflows • Focus: Underwriting + Claims enablement

AIG: AI Underwriting + Claims Assistance at scale

Production GenAI assistance for underwriting and claims workflows, built to drive adoption, speed, and quality across the business.

Role: Technical lead (BCG) — day-to-day architecture, delivery leadership, stakeholder alignment

Impact: accelerated cycle times, increased submission throughput, scaled the platform across major workflows.

Industry: Fintech • Scope: Customer-facing platform • Focus: Delivery + scalable foundations

Product-led engineering across a major fintech initiative, balancing scale, reliability, and user experience.

Role: Engineering & Product Lead — architecture direction, delivery execution, cross-team coordination

Impact: shipped customer-facing capabilities with strong architectural foundations for long-term ownership.

Industry: Utilities • Scope: Public/private cloud + internal products • Focus: Platform maturity + delivery velocity

Modernizing public/private cloud and internal products during a large digital transformation.

Role: Senior technology leader — platform strategy, execution leadership, stakeholder alignment

Impact: improved platform maturity, delivery velocity, and operational reliability during transformation.