AWS re:Invent 2025 - Reimagine mainframe workloads at speed with agentic AI - ft Itau & ADP (MAM207)

Reimagine Mainframe Workloads at Speed with Agentic AI

Overview

This presentation explores how AWS and its partners are enabling enterprises to modernize their mainframe workloads using agentic AI and cloud-native technologies. The session features insights from Itaú, a leading Brazilian bank, and ADP, a global HR and payroll services provider, as they share their experiences and the benefits they've realized through this approach.

Mainframe Modernization Challenges

• Mainframe systems are often critical to business operations but can be costly to maintain and scale
• Legacy applications and data on mainframes can be difficult to integrate with modern cloud-based services
• Skilled mainframe developers are becoming increasingly scarce, making it challenging to support and evolve these systems

Agentic AI for Mainframe Modernization

• Agentic AI refers to AI systems that can autonomously interact with and manipulate complex software systems
• AWS and its partners are leveraging agentic AI to automate and accelerate the process of modernizing mainframe workloads
• Key capabilities of agentic AI for mainframe modernization include:
  • Automated code analysis and refactoring
  • Seamless data migration and integration
  • Intelligent application transformation and containerization
  • Continuous monitoring and optimization of modernized workloads

Itaú's Mainframe Modernization Journey

• Itaú, one of the largest banks in Brazil, faced the challenge of modernizing its mainframe-based core banking system
• By leveraging agentic AI and cloud-native technologies from AWS, Itaú was able to:
  • Migrate 80% of its mainframe workloads to the cloud in just 18 months
  • Achieve a 40% reduction in infrastructure costs
  • Improve application performance and scalability
  • Enhance customer experience through faster innovation and new digital services

ADP's Mainframe Modernization Success

• ADP, a global HR and payroll services provider, needed to modernize its mainframe-based payroll processing system
• Using agentic AI and AWS services, ADP was able to:
  • Migrate 90% of its mainframe workloads to the cloud in 24 months
  • Reduce infrastructure costs by 50%
  • Improve system reliability and availability
  • Accelerate the development and deployment of new payroll features

Key Takeaways

• Agentic AI is a powerful tool for accelerating the modernization of mainframe workloads, enabling enterprises to unlock the benefits of the cloud
• By leveraging agentic AI and cloud-native technologies, organizations can migrate mainframe systems faster, reduce infrastructure costs, and improve application performance and scalability
• Successful mainframe modernization requires a strategic, well-executed approach that combines the right technologies, processes, and organizational change management
• Enterprises like Itaú and ADP have demonstrated the significant business benefits of modernizing mainframe workloads using agentic AI and AWS services