Mainframe Modernization - with Mechanical Orchard

Thoughtworks

A Behavior-Driven Approach to Mainframe Modernization on Azure

AI-Accelerated Mainframe Modernization with Mechanical Orchard tackles the critical challenges of legacy system modernization: technical complexity, business disruption, and historically low success rates. Traditional approaches prioritize code conversion over understanding system behavior, resulting in extended integration and testing cycles delivering a new codebase that is difficult to maintain and of questionable quality.

Thoughtworks and Mechanical Orchard take a holistic approach to legacy modernization, focusing on system behavior rather than just code. Leveraging Thoughtworks’ CodeConcise for rapid system comprehension and Mechanical Orchard’s AI-driven modernization platform, integrated with Microsoft Fabric for data ingestion and transformation, and Azure AI for advanced analytics, we transform legacy applications with unprecedented speed, delivering high-quality, maintainable code that’s easy to evolve. Unlike other AI-based approaches that can only accelerate comparable functionality, we can achieve comparable functionality and compliant data flow in a fraction of the time of any other approach—maximizing efficiency without compromising integrity.

Outcomes

  • Derisked dependency on monopolistic mainframe vendors: This is a key foundational benefit, as it opens other possibilities.
  • Reference architecture: Having a solid architecture guides future projects.
  • Engineering Platform to accelerate delivery of business value: A crucial enabler for rapid development.
  • Increased ability to deliver new products and innovations to market faster and easier: A direct business outcome.
  • Ability to hire to meet needs of the organization: Addresses the often-challenging aspect of mainframe talent acquisition.
  • Adaptive operational model for technology initiatives: Ensures the organization can evolve and adapt to new technologies.

Key Benefits

  • Aligns modernization with business and human factors, addressing core drivers.
  • Creates a functional replica in modern, idiomatic code with minimal disruption, utilizing Azure Migrate and Azure Mainframe Modernization Services
    for real-time data collection and analysis.
  • Reduces risk by incrementally delivering proven value into production, supported by Azure AI for reliable and auditable outcomes.
  • Enables continuous innovation by making system changes easy and safe, leveraging large language models and generative AI.

Sample agenda

  • Minimum Viable Modernization (if not done previously.)
  • Kickoff to align on project goals, milestones, risks, and mitigations: This sets the stage and ensures everyone is on the same page.
  • Complete the program inception, with a positive decision to move forward to execution of the disposition strategies: Formalizes the project's start and direction.
  • Establish delivery organization and target operating model supporting progressive ways of working: Builds the team and establishes the working structure.
  • Program and manage the implementation of the offloading roadmap: Start the execution following the plan.
  • Execution of modernization program: The core activity of the initiative.
  • Continuously deliver modernized workloads to production: Deliver the modernized features incrementally.
  • Continuously evaluate, prioritize, and deliver system and capability enhancements (innovation): Ongoing improvement and advancement of the modernized system. 
  • Regular demos, check-in, and next steps: Regularly communicate progress and on-going plan.

 

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