Keyhole Software partnered with a B2B travel media organization to design a secure, enterprise-grade generative AI proof of concept using Retrieval-Augmented Generation (RAG). The project validated a scalable approach for accessing complex datasets with natural-language queries while maintaining governance, traceability, and operational control.
This case study shows how architect-led, AI-accelerated engineering enabled a lean team to replace a legacy platform dramatically faster while maintaining enterprise-grade security and governance, including key takeaways that can apply to any modernization effort. A trusted Kansas City insurer returned to Keyhole to lead a mission-critical modernization. With two senior Keyhole consultants leading architecture and delivery, the program is on track to replace the entire platform โ UI, services, database, and administrative tooling โ in approximately five months through structured, AI-accelerated workflows, rather than the 18-24 month estimated without AI tooling.
Case Study: Modernizing Legacy COBOL Batch Processing for a Leading Food Wholesaler
Keyhole Software successfully modernized a legacy COBOL batch processing system, addressing inefficiencies and integration challenges through an AI-optimized POC. Keyhole accelerated development efforts by 20-30% leveraging AI-driven tools in the migration from COBOL to Spring Batch, enhancing scalability, maintainability, and cloud-native capabilities for the clientโs system. Download the case study –
Case Study: See how Keyhole Software helped AMC Theatres modernize its digital commerce ecosystem with .NET and API modernization, a Next.js website rebuild, Azure cloud migration, and performance improvements across web and mobile applications.
Industry: Investment & Asset Management Engagement Type: Legacy Modernization & Process Optimization Services: Requirements, Technical Strategy, Application Development, Mentorship & Training Long-term partner: The client engaged Keyhole Software repeatedly between 2011 and 2025, extending contracts numerous times for quality delivery. Teams ramped up and down based on business need. The Challenge A leading financial institution relied on a suite of …