OpenAI sees business results replacing experimentation

AI adoption is shifting toward measurable business outcomes rather than broad experimentation, according to Pragya Misra, OpenAI’s head of public policy and strategy for India. She said companies should identify their hardest operational problems with boards and chief executives, then measure whether AI helps solve them. The goal is to deliver results that businesses can report to shareholders and investors, rather than simply deploy ChatGPT at scale.

Misra cited Cars24, which uses OpenAI’s models for nearly a million conversation minutes a month through a customer agent that helps sellers list their cars. The marketplace reports that nearly 12 per cent of its lost sellers are returning because of the tool. She also described an unnamed Indian healthcare company that chose to build its own customer relationship management system using Codex instead of buying a system costing close to 80 lakhs of rupees. Its internally built software is now being adopted across the organisation.

Enterprise concerns remain focused on accountability, audit trails and data location, Misra said. OpenAI offers data residency and local inferencing in India and has made its models available on Amazon Web Services. She also said falling AI serving costs are essential to making the technology broadly accessible.