Mainframe Modernization with GenAI and AveriSource
Discover how generative AI is transforming mainframe modernization.
Originally published on the Futurum website.
Mainframe Modernization with GenAI and AveriSource
For decades, mainframes have served as the stalwart foundation of enterprise IT, powering high-volume, mission-critical applications. The traditional mainframe model is increasingly challenged due to dynamic market conditions, the proliferation of digitally delivered offerings, new and rising competition, increasing hardware and software costs, and the need to bring innovations quickly to market. Technology leaders are searching for new strategies to modernize mainframe applications alongside an increasingly hybrid cloud environment while preserving valuable business rules and data that reside on mainframe and midrange platforms.
National and international markets are evolving rapidly, requiring businesses to adapt to shifting customer expectations, regulatory changes, and economic pressures. Legacy mainframe systems, designed for stability over flexibility, struggle to meet the speed and agility that most businesses now require and demand. Legacy modernization enables organizations to respond with agility, launching new capabilities faster and adjusting to market dynamics effectively. For most organizations, a modernization strategy requires reimagining their existing business applications to meet today’s and tomorrow’s business needs through application rearchitecture or an application rewrite.
Rearchitecting, reengineering, and rewriting mainframe applications in modern technologies has historically been fraught with challenges, delays, and failures, often failing to capture all the functionality trapped in that legacy codebase. Generative AI transforms this landscape by providing sophisticated tools to analyze, translate, and optimize mainframe application code with new levels of precision, accuracy, and speed. AI-driven solutions are now enabling established organizations to not only modernize older programming languages, such as COBOL, PL/I, RPG, and Assembler, but also utilize new software frameworks, database architectures, and cloud computing models that were previously out of reach for mainframe or midrange applications written decades ago.
AveriSource provides a cutting-edge approach to mainframe application modernization with the launch of its new AveriSource Platform 3.0, now enhanced with generative AI technology. Combining GenAI with a deep application knowledge base, the new Averi™ AI assistant by AveriSource provides GenAI solutions for modernization assessments and business requirements documentation, accelerating report generation and streamlining modernization project efficiency and delivery. The power of GenAI within these new AveriSource solutions to analyze and understand the underlying code base requirements, application and data architecture, business rules, and intricacies of the mainframe system reduces risk, accelerates project delivery timelines, and offers a successful path to achieving more flexible, adaptable, and modern applications, on the mainframe, the cloud, or a hybrid environment.
