Nitin Rakesh, Chief Executive Officer and Managing Director, Mphasis.

Mphasis today launched an enterprise agency platform Mphasis Tria that coordinates autonomous AI decision-making and measurable business outcomes across operations, technology, and commercial functions. The company invested 1.5 per cent of its FY26 revenue ($27 million), betting on FY27 as the foundational layer and expecting returns FY28 onwards.

The platform will be introduced to the market through two new product lines Mphasis Modernize and Mphasis Optimize and then deployed across enterprise transformation engagements. It focuses on three layers: the foundational layer powering the structured knowledge graph and contextual intelligence engine, decision intelligence layer that is accelerated by Mphasis’ acuqisition of Continuum AI, and the agentic execution and orchestration layer that enables intelligent automation and coordinated enterprise actions at scale.

Enterprise transformation

“Through Mphasis Tria, Mphasis is introducing a new category of enterprise transformation, one that moves beyond autonomous AI systems into governed Enterprise Agency, reflecting the belief that enterprises do not simply need more AI models or automation, but the ability to convert intelligence into coordinated, accountable action/s,” said Nitin Rakesh, Chief Executive Officer and Managing Director, Mphasis.

When asked about the impact of such outcome-linked launches on deal renewals, Rakesh said he expected such outcome-based deals to become a fairly regular way of doing business over the next two or three years.

“We sold 68 per cent more deals in FY26 compared to FY25. I think the average large deal size went from 52 million to 74 million in the same period. Now I have the agency to go back to the customer to say I will drive this economic outcome, but let me not just give you the platform that does brand planning, let me offer brand planning as a service to you,” he said.

Regarding jobs, Rakesh estimated jobs of enterprise architects, data scientists, engineers to morph, stating that the deployment will depend on the size of the problem being solved. He further said the new offering will change the shape of revenue adding, “With reusability of the platform, we will start looking at an attach rate and an ARR revenue line.”

Published on May 27, 2026