Kyndryl, the world’s largest IT infrastructure services provider, has expanded its partnership with Google Cloud to accelerate mainframe modernization using generative AI. As a newly certified specialized partner for Google Cloud’s AI and Gemini models, Kyndryl is leveraging AI-driven automation to help organizations transform legacy mainframe applications for cloud-native innovation.
Benefits of the Partnership
- Faster Modernization – Generative AI speeds up mainframe code analysis, rewriting, and documentation.
- Cloud-Native Agility – Mainframe applications can be re-engineered for Google Cloud services like BigQuery and Cloud Run.
- Data-Driven Insights – AI-powered analytics unlock new business value from mainframe data.
- Risk Reduction – A phased approach ensures secure, incremental migration with lower operational risk.
“Google’s Gemini models are transforming mainframe modernization,” said Nirav Mehta, Senior Director at Google Cloud. “Paired with Kyndryl’s expertise, enterprises can modernize mainframe applications with greater efficiency and sustainability.”
Mainframe Modernization with Gen AI Accelerator Program
Kyndryl and Google Cloud are launching the Mainframe Modernization with Gen AI Accelerator Program to help customers begin their modernization journey with:
- No upfront commitment – Organizations can explore AI-driven modernization risk-free.
- A tailored modernization roadmap – Delivered by Kyndryl Consult experts, guiding phased migration strategies.
- Clear ROI assessment – Businesses gain insights into cost, efficiency, and operational improvements.
“Our partnership with Google Cloud enables customers to modernize mainframe applications with AI-driven insights, unlocking new innovation opportunities,” said Petra Goude, Global Practice Leader at Kyndryl.
Data Democratization & AI-Driven Insights
Kyndryl and Google Cloud enable seamless integration of mainframe data into Google Cloud’s analytics and AI platforms:
- Unlocking mainframe data with Google Cloud BigQuery, Cloud Run, and Cloud SQL.
- Generating real-time insights through dynamic reports and dashboards.
- Building AI-powered predictive models to drive business transformation.
A Comprehensive Modernization Approach
Kyndryl and Google Cloud provide end-to-end solutions for mainframe-to-cloud transformation, including:
- AI-powered code analysis to document and assess legacy mainframe applications.
- Automated rewriting of COBOL applications into modern languages like Java.
- Future-ready cloud stacks optimized for Google Cloud services.
- Rigorous testing and certification to de-risk the modernization process.
Real-World Impact: Transforming a Leading Insurance Provider
Kyndryl and Google Cloud successfully migrated mainframe applications for a major insurance provider, converting COBOL to Java and transitioning workloads to Google Distributed Cloud. This project:
- Reduced reliance on legacy mainframe skills.
- Ensured compliance with data residency regulations.
- Accelerated the insurer’s digital transformation goals.
The Growing Momentum for AI-Powered Mainframe Modernization
According to Kyndryl’s 2024 Mainframe Modernization Survey:
- 96% of enterprises are migrating mainframe workloads to the cloud (averaging 36% of workloads).
- 86% of businesses are adopting AI to accelerate modernization.
- Nearly 50% of enterprises plan to use generative AI to transform mainframe data into actionable insights.
Kyndryl and Google Cloud’s partnership is pioneering AI-driven mainframe modernization, offering enterprises a faster, more efficient, and lower-risk approach to cloud transformation. As AI adoption continues to rise, this collaboration ensures businesses can future-proof their IT infrastructure while unlocking the full potential of their mainframe data.
