“As AI transforms how businesses operate, IBM’s z17 platform stands out as a key enabler of secure, efficient, and data-driven modernization. At Adaptigent, we’re excited to work alongside IBM in support of z17. The advancements in AI-powered fraud prevention, real-time data processing, and hybrid cloud optimization directly align with our mission to help enterprises unlock the full value of their legacy systems. With the capabilities of IBM z17 and its AI acceleration, our customers can innovate faster, modernize with confidence, and protect what matters most—their data.”
— Steve Able, Director of Strategy and Architecture, Adaptigent
Enterprises today face a critical challenge: how to modernize legacy applications systems without disrupting operations, all while navigating increased fraud, rising compliance costs, and demand for real-time insights. IBM’s z17, with its AI-enhanced capabilities and hybrid cloud support, offers a powerful solution—and Adaptigent is proud to help organizations bridge the gap between legacy environments and modern digital strategies.
AI at the Core of Secure and Efficient Modernization
Fraud prevention is one of the most urgent and complex challenges in digital banking and payments. According to Celent, financial institutions lost $533 billion globally to fraud in 2024. IBM Z mainframes power nearly 70% of the world’s banking transactions. By implementing AI inference across the enterprise, fraud losses could be reduced by billions of dollars annually. (Celent Report 2025: Mitigating Fraud in the AI Age)
IBM z17’s Telum II processor is built for this moment. Each core can direct workloads to any of the eight integrated AI accelerators per drawer, enabling real-time fraud detection directly within transactions—at scale, without breaching service-level agreements. Adaptigent’s own customers, who rely on our Adaptive Integration Fabric to unify legacy and other modern systems, are already seeing the benefits of running intelligent operations with low latency and unmatched resiliency.
Hybrid by Design: Optimizing for Performance and Agility
IBM’s hybrid cloud vision is realized through z17. With IBM z17, running an AI infused OLTP workload on OpenShift Container Platform requires up to 5.6x fewer cores versus running it on a compared x86 platform. As businesses seek to optimize their tech estates, the combination of mainframe reliability and public cloud flexibility is essential.
Research from IBM’s Institute for Business Value (IBV) underscores the point: enterprises that adopt a hybrid-by-design approach with mainframes see more than 3X ROI compared to hybrid-by-default setups. (IBM Institute for Business Value Report 2024: Mainframes as mainstays of digital transformation) At Adaptigent, our technology helps organizations capitalize on this design, providing low-code tools that enable secure, real-time data sharing across hybrid environments—without rewriting or replacing legacy systems.
Powering the Future of Financial Services
In banking, the stakes are especially high. Generative AI is no longer a tactical experiment—it’s becoming central to service models and customer engagement. The IBV’s 2025 Global Outlook for Banking finds that only 8% of banks had a strategic approach to generative AI in 2024, but that number is set to grow rapidly. (IBM Institute for Business Value Report :2025 Global Outlook for Banking and Financial Markets) As institutions scale these efforts, they must modernize responsibly—with AI risk governance, data transparency, and resilient infrastructure.
Adaptigent’s solutions allow banks to unlock their existing systems while introducing AI-driven services and digital channels. By leveraging IBM z17, our customers can accelerate transformation while ensuring that security, compliance, and data quality are never compromised.
Looking Ahead
The IBM z17 is not just another generation of mainframe—it’s a platform built for the future of intelligent, secure, and resilient enterprise computing. At Adaptigent, we’re committed to helping our clients make the most of this opportunity. By working in tandem with IBM, we empower organizations to modernize fearlessly, act in real-time, and protect the integrity of every transaction.
Disclaimer: Performance result is based on IBM® internal tests running on IBM Systems Hardware of machine type 9175. The MegaCard benchmark was containerized and deployed on Red Hat® OpenShift® Container Platform (RHOCP) 4.17 on Red Hat Enterprise Linux® (RHEL) 9.4 with KVM. 3 RHOCP Compute nodes, each with 16 pinned vCPUs and 32 GB memory, 2 RHOCP Infrastructure nodes, each with 4 pinned vCPUs and 12 GB memory, 3 RHOCP Management nodes, each with 4 pinned vCPUs and 16 GB memory, running in virtual machines. The 3 RHOCP Compute nodes ran 3 MegaCard instances in parallel, each driven remotely from Apache JMeter™ 5.2.1. IBM Systems Hardware configuration: 1 LPAR with 5 dedicated IFLs (SMT), 192 GB memory. Compared x86 Server Hardware configuration: 28 Saphire Rapids Intel® Xeon® Gold CPUs @ 2.20 GHz with Hyper-Threading turned on, 1 TB memory. Results may vary