Governance is the operating system for responsible AI at scale: Nitin Mehta, EY India
For years, enterprise technology governance has been built around systems that behave largely as they are programmed to behave. Controls could be designed around applications, data, access privileges and predictable decision paths. Artificial intelligence is fundamentally disrupting that model.
As Indian enterprises move from generative AI experimentation to AI-enabled workflows and increasingly towards agentic systems capable of accessing data, calling tools and taking actions- the governance question is no longer simply whether an AI model can be trusted. It is whether the AI system can be trusted to act on the organisation’s behalf.
This is creating a new governance challenge for banks, insurers, GCCs, digital platforms and large enterprises. Existing disciplines around software development, model validation, data governance and cybersecurity remain essential, but they were not designed for systems that can generate, reason, adapt and increasingly act.
According to Nitin Mehta, Digital Risk Leader, EY India, enterprises now need to...
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