Agility Reimagined: Leveraging AI to Unlock Capacity, Speed, and Quality in Legacy Systems

As organizations embrace AI-driven transformation, legacy platforms such as mainframes remain critical to business operations and innovation. This session explores how Agile delivery can be reimagined by embedding AI across the Software Development Life Cycle (SDLC)—from requirements analysis and impact assessment to development, testing, documentation, and production support.

Drawing from practical experience leading multiple Scrum teams in a mainframe environment, the session will showcase how AI-enabled practices helped unlock capacity, while improving delivery speed, quality, and team productivity. Attendees will gain actionable insights into integrating AI within Agile workflows, overcoming challenges unique to legacy systems, and fostering a culture where human expertise and AI work together to accelerate value delivery.

Key Takeaways:

1. Establishing an AI-Augmented Agile Delivery Model
2. Driving Measurable Productivity and Capacity Gains
3. Transforming Legacy System Development with AI
4. Enhancing Quality and Predictability Across the SDLC
5. Building the Future-Ready Agile Enterprise