Case Studies

A global payments organization needed to democratize access to institutional knowledge across 7,500+ policy and procedure documents while maintaining strict governance, security, and compliance standards required in financial services.

Led the deployment of a multi-tenant, guardrailed Large Language Model platform that evolved from a policy search tool into a comprehensive enterprise knowledge assistant. Built a reusable AI platform with shared building blocks — APIs, services, prompt/agent patterns, evaluation harnesses, playbooks — for production-grade reliability and observability. Expanded from initial policy documents to 10+ integrated data sources across the Payments division. Scope spanned the full JPMorgan Chase Payments business — merchant services, client servicing, client onboarding, and global call centers.

• Scaled from 7,500 policy documents to 10+ integrated data sources
• Deployed an enterprise-scale LLM implementation in financial services
• Onboarded 27,000+ active users across the Payments organization
• Designed human-in-the-loop review workflows for high-stakes interactions in regulated payments environments
• Established LLM evaluation harnesses and AIOps practice for continuous improvement across the AI delivery lifecycle
• Established governance model now replicated across other divisions

A major U.S. airline faced significant operational inefficiencies across fuel management, baggage handling, and de-icing operations—all critical to on-time performance and cost control.

Architected and deployed a breakthrough IoT ecosystem implementing edge computing and AI-powered analytics across multiple operational domains. Unified disparate data streams into actionable insights for operations teams.

• Delivered $20M+ in annual operational savings
• Achieved 250% ROI within the first year of deployment
• Reduced fuel waste through predictive analytics
• Improved baggage handling efficiency and de-icing response times

A Top-5 national health insurer needed real-time fraud detection capabilities that could process millions of transactions while maintaining accuracy rates that exceed industry standards.

Designed and implemented a real-time fraud analytics platform leveraging advanced machine learning algorithms. Built scalable infrastructure to handle massive transaction volumes with sub-second response times.

• Secured $400M contract value based on platform capabilities
• Designed real-time AI-powered fraud analytics engine
• Processing millions of transactions in real-time
• Reduced false positives by 60% compared to legacy systems

A top 10 U.S. bank needed to democratize data analytics across a large, distributed organization while maintaining governance and driving a culture of data-driven decision making.

Established the enterprise Tableau Center of Excellence, building a 30,000+ user analytics community of practice. Created training programs, governance frameworks, and self-service capabilities that empowered business users.

• Built an enterprise Tableau analytics community of practice
• Onboarded 30,000+ platform users
• Decommissioned 2,000+ legacy dashboards, delivering $8M in annual savings
• Created a replicable COE model for other analytics platforms

A major insurer sought to modernize their risk assessment and loss prevention capabilities through connected device data from telematics, smart buildings, and wearables.

Built a comprehensive Industry 4.0 platform integrating thousands of IoT devices across multiple data streams. Unified telematics, smart building sensors, and wearable data into a single AI-powered analytics platform.

• Integrated thousands of IoT devices into unified platform
• Delivered significant improvements in loss mitigation through real-time predictive analytics
• Enabled real-time risk monitoring and alerting
• Created new data-driven insurance product offerings

A global financial institution faced critical infrastructure stability issues with weekly Sev1 outages impacting global operations and customer experience.

Led worldwide infrastructure modernization initiative, architecting new telemetry platforms and implementing DevOps practices that transformed the reliability and scalability of critical systems.

• Eliminated weekly Sev1 outages, achieving 98% uptime
• Accelerated cloud migration by 200%
• Standardized telemetry across global infrastructure
• Reduced mean time to recovery (MTTR) by 70%

A global financial institution needed to modernize their marketing capabilities to deliver personalized, real-time campaigns at scale while improving conversion rates.

Built a real-time Hadoop-powered marketing engine capable of processing millions of customer interactions and delivering personalized campaigns based on behavioral triggers and events.

• Reached 10M+ customers with personalized campaigns
• Delivered data-driven targeted campaigns at scale
• Enabled real-time event-based marketing triggers
• Reduced campaign deployment time from weeks to hours

A Big 4 consulting firm needed to productize their analytics capabilities to create scalable, recurring revenue streams while automating complex Risk, Compliance, and Fraud detection processes.

Built a repeatable Analytics-as-a-Service framework for Risk, Compliance, and Fraud detection—engineered for scale and deployed across multiple large Fortune 100 client engagements. The self-service model reduced implementation overhead and created a consistent, recurring revenue stream.

• Generated $25MM+ in annual recurring revenue
• Deployed as a repeatable framework across multiple Fortune 100 client engagements
• Standardized analytics patterns for Risk, Compliance, and Fraud detection at enterprise scale
• Reduced client implementation time through reusable platform components