How Kloia’s AI-DLC Delivered a .NET Modernization Blueprint on AWS in 4 Weeks

This article describes how Kloia and AWS compressed a modernization discovery cycle from 3-6 months to 4 weeks for a UK-regulated financial institution managing £26 billion in assets, using AI-driven analysis with Claude Code via Amazon Bedrock.

• AI-DLC methodology uses agentic AI for primary analysis validated by senior architects, reducing discovery time dramatically
• Four-phase approach: automated analysis, domain validation, target architecture design, and roadmap/cost planning
• Decomposed 1.7M lines of legacy ASP.NET code into 15 medium-grained domain services with dedicated data stores
• Target architecture uses Amazon EKS, Aurora PostgreSQL, DynamoDB, S3, SQS, SNS, EventBridge, and Amazon Bedrock
• Verification loop prevents AI fabrication by grep-checking all identifiers against source code before deliverables
• Achieved 90% cost reduction in discovery phase and evidence-based confidence with full modernization now projected at 6-8 months versus original 2-year estimate

AI-driven discovery enables organizations to move from uncertainty to board-ready investment decisions in weeks while maintaining rigour through architect validation and source-grounded evidence.