NATIONAL| INDIA, NEW DELHI, MUMBAI 27^th MARCH, 2026 (GPN/ SANDIP S. SHROTRI): India has reached an important point in its journey with artificial intelligence. Over the past few years, both central and state governments have shown strong intent in adopting AI as a tool for improving governance. Policies are being shaped, pilot projects are underway, and there is a growing recognition that data and intelligence must play a central role in public administration.

The direction is right. What now matters is how this intent translates into execution.

States like Maharashtra and Goa deserve recognition for taking early steps. Maharashtra has begun applying AI in areas such as agriculture and public systems, acknowledging that better data can lead to better decisions for millions of citizens. Goa, with its relatively compact administrative structure, has the advantage of moving faster and experimenting more freely. Its evolving approach reflects a willingness to integrate technology into governance in a meaningful way.

These are encouraging developments. At the same time, they also highlight the next challenge.

A large part of what is currently being built in the name of AI governance still resembles earlier digital initiatives. There is a strong focus on dashboards, reports, and data visibility. While these are useful, they do not by themselves transform governance. The real value of AI lies in its ability to support decisions, anticipate risks, and enable timely action.

For example, in agriculture, early signals of crop stress should translate into immediate advisory and support. In healthcare, emerging patterns should trigger preparedness before systems are strained. In tourism, demand fluctuations should inform real-time resource planning. These are not distant possibilities. They are practical applications of AI that can be implemented with the right approach.

The shift required is from information to action.

Another important consideration is integration. Government functions do not operate in isolation, and AI systems should not either. The full potential of AI can only be realised when insights from different departments come together to form a unified view. This allows decision-makers to respond more effectively and with greater confidence.

Equally important is how success is measured. The focus should move beyond the number of platforms or tools deployed. What matters is the outcome. Has service delivery improved. Has response time reduced. Has there been a tangible impact on revenue, efficiency, or citizen experience. These are the indicators that will define the success of AI governance.

There is also a need for stronger ownership within the system. AI cannot be treated purely as a technology initiative. It requires administrative engagement, where leaders not only review data but use it actively to guide decisions. When this alignment happens, the impact of AI becomes far more visible.

Looking ahead, both Maharashtra and Goa have the potential to set strong examples. Maharashtra can demonstrate how AI operates at scale across diverse sectors. Goa can show how a more agile system can deliver integrated and visible outcomes in a shorter time frame.

India’s approach to AI governance has been thoughtful and well-intentioned. The next phase will depend on how effectively this intent is carried forward into execution.

AI in governance is not about adding another layer of technology. It is about making systems more responsive, decisions more informed, and outcomes more meaningful for citizens. Sandip S. Shrot

Author line: Sandip S. Shrotri

The author advises on AI-led governance models, focusing on public policy, execution frameworks, and outcome-driven digital transformation.