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Kloia Accelerates .NET Modernization Blueprint Delivery on AWS with AI and Bedrock

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AWS partner Kloia successfully applied an AI-driven methodology, leveraging Amazon Bedrock and Claude Code, to significantly accelerate the discovery and assessment phase for a .NET modernization project. For a UK financial institution, this approach compressed a typically 3-6 month process into just four weeks, yielding a board-ready blueprint for re-platforming a 1.7-million-line legacy codebase. This innovation benefits enterprises facing challenges with legacy systems by offering a faster, evidence-based path to modernization on AWS. Kloia's four-phase AI-Driven Development Lifecycle (AI-DLC) combines extensive AI analysis with senior architect validation to build a persistent, evidence-linked knowledge base.

  • →Accelerating .NET Modernization Assessments with AI
  • →Addressing Legacy System Challenges in Financial Services
  • →Kloia’s Four-Phase AI-Driven Methodology
  • →Designed Target Architectures on AWS
Notes (4) ›
  • Accelerating .NET Modernization Assessments with AI

    Kloia, an AWS Premier Tier Services Partner, utilized an AI-driven methodology featuring Amazon Bedrock and Claude Code to reduce a typical three-to-six month discovery and assessment cycle to just four weeks. This rapid approach delivered a board-ready modernization blueprint on AWS for a UK-regulated financial institution transitioning from a legacy .NET estate.

  • Addressing Legacy System Challenges in Financial Services

    The customer, a UK wealth management platform with over 1.7 million lines of ASP.NET code across numerous systems and databases, faced issues with monolithic architecture hindering growth and stalled previous modernization attempts. The core challenge involved decomposing this substantial codebase into approximately 15 medium-grained domain services, addressing significant data-layer coupling.

  • Kloia’s Four-Phase AI-Driven Methodology

    Kloia’s AI-Driven Development Lifecycle (AI-DLC) methodology inverts traditional discovery by using agentic AI tools for primary analysis, validated by senior architects. The process includes automated discovery and analysis, domain validation and decomposition, target architecture design and splitting, and finally, comprehensive roadmap, cost, and execution plan development within the four-week timeframe.

  • Designed Target Architectures on AWS

    The resulting blueprint defines a target state of about 15 medium-grained domain services, moving away from a monolithic structure. The infrastructure design leverages managed AWS services for compute, data (including Amazon Aurora PostgreSQL), eventing, observability, and security, while retaining Amazon RDS for SQL Server during the transition phase.

Read the original announcement →

https://aws.amazon.com/blogs/modernizing-with-aws/how-kloias-ai-dlc-delivered-a-net-modernization-blueprint-on-aws-in-4-weeks/

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