On May 27, Mphasis launched Mphasis Tria, an enterprise AI platform designed to help businesses deploy agentic AI systems across operations, technology and business functions. According to reports from CNBC TV18, the platform is built on a three-layer architecture comprising Insight, Foresight and Execute layers. The Insight layer structures enterprise data and processes into a centralized knowledge framework using Mphasis Ontosphere and NeoIP, while the Foresight layer enables reasoning, simulation and optimization through AI-driven decision intelligence using Continuum AI. The Execute layer focuses on workflow orchestration, automation and governance using agentic AI systems. As per NDTV Profit, CEO and Managing Director Nitin Rakesh emphasized that enterprises increasingly require systems that can convert intelligence into coordinated, accountable actions rather than relying solely on standalone AI models or automation tools. Srikumar Ramanathan, Chief Solutions Officer, Mphasis, noted that most enterprises lack the ability to turn intelligence into coordinated, accountable action that drives measurable business outcomes, positioning Tria at the intersection of technology, transformation, and economic outcomes.
As reported by CNBC TV18, shares of Mphasis were trading 1.34% lower on the NSE as of 2:35 PM following the announcement. The company's stock ended 1.28% lower at ₹2,236.20 apiece on the NSE on Wednesday, compared to a 0.03% decline in the benchmark Nifty index. Addressing the launch at a press briefing, Rakesh remarked that the biggest gaps enterprises have today is "agency gaps," adding that "Agentic AI is a hammer looking for a nail." The platform is designed to move enterprises beyond pilot AI projects into governed, accountable and outcome-oriented actions through a combination of enterprise knowledge systems, reasoning engines and agentic execution capabilities. As per Finance Yahoo, CEO Nitin Rakesh stated that the platform introduces a new category of enterprise transformation focused on converting intelligence into coordinated, accountable actions rather than simply adding more AI models.
According to CNBC TV18, alongside the launch of Tria, Mphasis also introduced two new market-facing product lines — Mphasis Modernize and Mphasis Optimize — which will be deployed across enterprise transformation projects. The launch reflects Mphasis' broader strategy of shifting towards scalable, platform-led offerings with recurring revenue potential, moving beyond traditional bespoke services engagements. Mphasis Modernize drives transformation in how enterprises operate, modernizing not just technology stacks, but also the processes and business operations that power them, while Mphasis Optimize focuses on continuous performance improvement across commercial and operational decisions that create enterprise value. This strategic pivot represents the company's focus on building sustainable, repeatable revenue streams through AI-powered solutions that enable coordinated decision-making, workflow automation and AI-driven execution across large-scale operations.
A key milestone in completing the Mphasis Tria stack was the acquisition of Theory and Practice and its decisioning intelligence platform, Continuum AI, enabling Mphasis Tria to function as a fully integrated "sense-decide-act" enterprise system. Within the stack, Continuum AI provides the foresight and optimization capabilities that sits between enterprise context and agentic execution, enabling governed reasoning, simulation and enterprise-scale decision intelligence. The platform leverages Mphasis proprietary assets including the NeoIP™ suite, which powers the Ontosphere, a dynamic and ever-evolving knowledge base that delivers continuous innovation through perpetual intelligent engineering. As per Mphasis, the company's engineering has been in its DNA since inception, with the Mphasis.ai unit and AI-powered "Tribes" focused on client outcomes and embedding artificial intelligence and autonomy into every layer of the enterprise technology and process stack.
