Abstract
Mainframes remain imperative for mission-critical operations for large global enterprises. However, rising costs, declining skills, and the need for service delivery are compelling enterprises to modernize their mainframe environment.
This paper outlines a structured approach to mainframe modernization that goes beyond platform migration. It assesses the entire range of options, including retain, retire, rehost, re-platform, refactor, and reimagine, across cost, risk, and complexity. The framework combines hybrid modernization models with GenAI accelerators for code transformation, testing, and analysis. It helps enterprises make informed decisions, maximize value, and accelerate delivery while maintaining the stability of mission-critical systems.
Reimagine your mainframe journey–accelerate your modernization strategies with GenAI today
Key Insights
Successful initiatives are those where application decisions align with business value, risk, and regulatory considerations.
Hybrid approaches that combine multiple modernization patterns are more successful.
Tools that use GenAI can reduce effort by up to 40%, shortening multi-year programs to mere months.
Retaining core workloads and incrementally modernizing In-place can reduce disruptions and accelerate ROI.
GenAI-based testing and validation reduce cycles while improving quality and reliability.
Modernize with Purpose, Not Disruption
This paper presents a strategic, GenAI-powered approach to mainframe modernization that helps enterprises choose the right mix of modernization paths, reduce risk, accelerate delivery, and maximize business value while maintaining the stability of mission-critical systems.