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Smart Legacy Modernization with MO4D and Pega

Accelerate legacy modernization discovery phase with GenAI-driven requirement extraction and automated Pega blueprint generation reducing complexity, effort, and risk

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Overview

Legacy application modernization is complex and resource-intensive, especially when documentation is missing and institutional knowledge is lost. Atos MO4D (Machine One for Delivery) combined with Pega Blueprint addresses this challenge by automating discovery phase. MO4D’s GenAI engine analyses legacy codebases (e.g., .Net, Java, C, C++), database scripts, and documents to extract business rules, process flows, and application logic. It generates rich, contextualized requirement documents and code analysis. This output is seamlessly ingested into the Pega platform to auto-generate a blueprint application forming a strong foundation for modernization. It reduces manual discovery efforts, enhances collaboration between business and IT, and ensures alignment between legacy behaviour and modern Pega architecture. By combining generative AI with Pega’s model-driven approach, this solution accelerates time to market and improves modernization success rates.

Key Features

  • Offering flexibility to integrate with customer-preferred GenAI models; MO4D analyses legacy assets and produces precise, context-rich template driven documentation to drive Pega blueprint creation
  • Enables discovery and validation directly within the Pega platform, minimizing rework and enhancing collaboration across teams
  • Translates legacy functionality requirements with 80 - 90% accuracy in Pega, ensuring high-fidelity modernization and reduced risk
=Atos International SaS

Partner Name

Atos


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Offering Type

Component
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