Hexaware Technologies has appointed Srinivasan Panchapakesan as President and Chief Platform Officer, a newly created leadership role that brings the company's AI and cloud platform portfolio under a single organisation.
The appointment comes as enterprises increasingly move beyond AI experimentation and look to deploy AI at scale. For IT services firms, integrated platforms are becoming a strategic differentiator, enabling customers to modernise applications, automate software development, and deploy AI workloads with greater governance and operational consistency.
A New Leadership Role for Platform Engineering
Effective immediately, Panchapakesan will lead the development, integration, and scaling of Hexaware's platform portfolio, including Amaze for cloud modernisation, RapidX for AI-assisted software engineering, Tensai for AI-powered IT operations, and Agentverse for enterprise AI agents.
The company said consolidating these platforms under a unified architecture is intended to simplify enterprise AI deployments across cloud environments instead of managing multiple standalone offerings. Panchapakesan will also continue to oversee global delivery for Hexaware's digital & software service line, covering product engineering, user experience, digital adoption, delivery excellence, and employee engagement.
Announcing the appointment, R. Srikrishna, Chief Executive Officer and Executive Director, Hexaware, said platforms will play a central role in the company's strategy over the next decade, with the new position reflecting the growing importance of platform-led services for enterprise customers.
A Veteran Executive Takes on a Strategic Role
Panchapakesan brings more than 35 years of experience in the technology industry and has spent over 27 years at Hexaware. Before assuming his new role, he served as senior corporate vice president and global delivery head for digital & software.
Over the years, he has helped lead several of Hexaware's large-scale technology transformation programs across banking and financial services, insurance, healthcare, life sciences, education, retail, and manufacturing.
His experience spans cloud computing, Agile delivery, DevOps, solution architecture, product engineering, APIs, composable architecture, cloud-native development, and legacy modernisation. He was also among the principal architects behind Hexaware's Amaze and RapidX platforms, which have become part of the company's platform-led services portfolio.
Before joining Hexaware, Panchapakesan held leadership positions at iSOFT PLC and Ramco Systems.
AI Platforms Become the Next Enterprise Battleground
The appointment reflects a broader shift underway across the IT services industry. As organisations move from proof-of-concept projects to production-grade AI deployments, technology providers are investing in proprietary platforms that combine cloud infrastructure, software engineering, automation, and governance capabilities.
Rather than offering isolated AI tools, vendors are increasingly building integrated platforms that support the complete AI lifecycle, from application modernisation and software development to IT operations and enterprise AI agents. This approach aims to help organisations deploy AI more consistently while addressing requirements around scalability, security, and governance.
Commenting on his appointment, Panchapakesan said enterprises are increasingly looking beyond isolated AI pilots and are prioritising integrated platforms that can support production-scale AI deployments backed by trusted data and enterprise governance.
The creation of a chief platform officer role highlights the growing importance of platform engineering in enterprise technology strategies. As AI adoption expands across industries, enterprises are placing greater emphasis on unified platforms that simplify deployment, improve operational efficiency, and enable AI capabilities to scale across business functions.
For Hexaware, bringing its AI and cloud platforms under a single leadership structure signals a deeper focus on platform-led services at a time when enterprises are seeking integrated technology stacks rather than fragmented AI solutions.
