On AI partnerships and deal structures, Anantharaju said, “We would be willing to go down revenue sharing as well as outcome-based models with our customers, if the construct makes sense.”
He said traditional IT pricing models include people-based billing, fixed price projects and outcome-based pricing, with outcome-based models currently forming a smaller share. However, he said AI-driven productivity gains could accelerate movement towards outcome-linked contracts.
Also Read | Happiest Minds shares gain after company CEO hints at a potential AI partnership
Anantharaju said agent-based AI adoption is making enterprises rethink workflows, application design and data architecture. He said companies are evaluating how AI can be embedded across operations, customer service and software development processes.
He added that adoption is currently stronger in modernisation and tech debt-related work, where existing code bases allow faster AI integration compared with greenfield development.
Anantharaju said IT services companies will need to build hybrid delivery models combining AI coding agents and human developers. He added that partnerships with AI platform providers are likely to increase across the sector. He said, “I think it’s an acknowledgement of what’s happening.”
He said such partnerships are likely to become common as companies adopt multiple AI platforms rather than relying on single vendor relationships due to rapid technology changes.
Also Read | Gautam Shah: Nifty to stay range-bound, IT may struggle but PSU index could rise 25%
He said outcome-based pricing does not necessarily reduce revenue potential if structured properly. Instead, it could help IT companies capture value created through productivity improvements.
He added that outcome-based models will likely be applied selectively, where both clients and service providers can align on performance metrics and delivery control.
Also Read | AI impact on Indian IT to be worse than expected, says Bhavin Shah
On promoter activity, Anantharaju said internal discussions remain focused on long-term AI strategy execution. He said promoter leadership is aligned with the company’s multi-year AI transformation roadmap.

The company, which has a current market capitalisation of ₹ 6,001.91 crore, has seen its shares lose more than 41% over the last year.
For the full interview, watch the accompanying video
Catch all the latest updates from the stock market here
Source link
#Happiest #Minds #open #revenuesharing #outcomebased #deals #pricing #models #CNBC #TV18

