TECH & AI
“ We then sit down with the business to validate the platform’ s understanding, allowing stakeholders to confirm if it is 90 % or 100 % accurate, and continuously re-verify that accuracy at every possible step.
“ Once an agent defines the business requirements, a coding agent writes the software and a deployment agent pushes it live to production. We have broken the entire software development lifecycle into four or five stages, using specialised agents to drive automation and productivity across both legacy systems and traditional banking or insurance tech challenges. That base layer is where Tria comes in.”
Preparing for the quantum horizon Beyond generative AI, Mphasis is proactively preparing its clients for the computational advantages – and security implications – of quantum computing.
“ A lot of organisations today are talking to us to help them build out their quantum assets – what we call a quantum bill of material, a crypto bill of material,” Ashish notes.“ If you don’ t know what assets you have in what shape and form then how can you even monitor or manage them?
“ We genuinely believe quantum technology will be available in the next couple of years. We see it as both an opportunity and a risk. Opportunity in terms of how it gets applied to different
Some of the Mphasis team at IBM’ s Thomas J. Watson Research Center for collaboration with IBM on quantum-safe cryptography
businesses and complex areas around risk computations.“ We do have a quantum lab, which we have set up in conjunction with the University of Calgary. So there’ s a significant amount of R & D that we do and we are proactively keeping an eye on what the art of the possible is and then also helping organisations in their journey of not just adopting quantum, but also helping them understand what the risks are from an adoption of quantum standpoint.”
When asked if the fears surrounding quantum rival those of frontier AI like
84 October 2026