Empower your mainframe transformation journey

Our end-to-end mainframe services unlock value through AI-forward engineering, helping organizations modernize, optimize, or transition workloads off the mainframe based on risk, requirements, and economics.

Mainframe applications underpin many mission-critical workflows, while other workloads are better suited to modernization or migration. The challenge isn’t the mainframe itself, but the complexity of evolving legacy code and tightly coupled systems. AI-forward engineering and modern cloud tools make it easier to modernize code, evolve critical applications in place, or transition workloads off the mainframe when it makes business sense.

67%

of the Fortune 100 companies run business-critical applications and data on mainframes.

40%

of companies say the need to modernize legacy applications is a top barrier to achieving cloud outcomes.

70%

of modernization costs will be reduced by 2027, as gen AI tools will be used to explain legacy business applications and create appropriate replacements.

Transforming mainframes with advanced AI

Advances in AI are changing how organizations approach mainframe modernization. AI‑driven engineering and software agents now help teams understand, refactor and test legacy code more efficiently—reducing dependency on scarce skills and expanding the range of applications that can be modernized in place, while also simplifying transitions off the mainframe when appropriate.

The role of cloud & AI in mainframe modernization

Learn how advances in AI from generative to agentic are reshaping mainframe modernization. AI-forward engineering and cloud-based capabilities help unlock trapped data, reduce technical debt, and expand modernization options, enabling organizations to evolve critical applications where they belong and place other workloads where they create the most value.

Use AI-forward engineering to modernize and evolve mission-critical applications on the mainframe to improve code quality, integration across cloud and enterprise environments and development velocity while preserving resilience and performance.

For workloads where performance, security, and scale matter most, AI-forward engineering helps modernize applications on the mainframe. Teams can decouple functions, add APIs, modernize code, and adopt DevSecOps and AI-enabled practices without disrupting systems of record.

For workloads where requirements allow, modernize or migrate applications using AI‑enabled engineering to reduce risk and complexity.

What you’ll achieve

Business innovation

Unlock trapped value and simplify complex systems using AI-forward engineering to evolve critical applications and enable continuous innovation.

Business agility

Deploy fresh new features in weeks instead of months and increase your speed to market with modern applications and infrastructure and agile ways of working.

Cost efficiency

Reduce application and infrastructure costs by managing technical debt, optimizing operations and making informed decisions about modernization and transition—improving efficiency across the estate.

Engaged talent

Improve attraction and retention as well as overall engagement by upskilling teams in advanced technologies and modern development practices.

What’s trending in mainframe

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