New Delhi, Dec. 8 -- Coforge, an IT services provider, has launched a z/Transaction Processing Facility (z/TPF) Center of Excellence (CoE) within its Advanced Engineering Services unit, aiming to support enterprises that run large-scale, real-time transaction systems on mainframes. The initiative focuses on modernizing long-running transaction platforms used in sectors such as financial services, aviation, hospitality, and retail.
TPF and z/TPF systems process high volumes of real-time transactions and remain central to operations such as airline reservations, payment authorization, trading, and loyalty systems. Many of these platforms were built decades ago and are tightly coupled with specialized hardware and software. As enterprises move toward digital channels, real-time data use, and cloud-based models, these systems face increasing pressure to evolve without disrupting business operations, the company said.
Sunil Fernandes, Chief Delivery Officer and Head of Engineering, Coforge, said, "With our new Center of Excellence, we're addressing one of the most complex challenges in enterprise computing-combining deep mainframe expertise with AI-driven engineering to unlock agility, resilience, and performance for our clients' most critical systems."
The new CoE is intended to address this challenge by combining domain expertise in z/TPF environments with AI-based engineering tools. The focus is on reducing risk and time involved in transforming mission-critical systems while maintaining existing business logic and regulatory requirements. The CoE supports modernization of z/TPF applications written in assembler, TPF-C, and ALCS, and includes automated approaches for code analysis and restructuring. It also covers database migration from TPFDF to relational databases and platform transitions from mainframes to open systems across on-premise, hybrid, or cloud environments.
In financial services, the work targets systems used for real-time payments, fraud checks, and trading. In travel and aviation, the focus is on reservation, ticketing, loyalty, and baggage handling platforms that rely on z/TPF for continuous availability and low latency.
The CoE uses an AI-driven engineering framework to analyze large codebases, extract business rules, and support restructuring without changing system behavior. Alongside delivery work, the center will also train engineers in z/TPF, cloud-native architectures, and AI-based development methods, addressing ongoing skills gaps in mainframe-related technologies.
Published by HT Digital Content Services with permission from TechCircle.