“Driving Outcome-Focused AI Governance for the Future of Public Policy” Bridging Policy, Data, and Execution

NATIONAL| INDIA, NEW DELHI, MUMBAI 26^th MARCH, 2026 (GPN/ SACHIN MURDESHWAR  8108510506): Sandip Shrikant Shrotri is an independent AI governance strategist and public policy thinker focused on translating artificial intelligence into practical, outcome-driven governance systems. With over 20 years of experience spanning branding, marketing communications, digital transformation, and government engagement, he brings a unique blend of strategic insight and execution-focused thinking.

He has worked across diverse sectors including manufacturing, edtech, and consulting, where he has led large scale digital and strategic initiatives, often in collaboration with government and institutional stakeholders. This cross sector exposure has shaped his understanding of how policy, data, and execution intersect in real world governance.

His current work centres on designing AI-led governance frameworks for sectors such as agriculture, healthcare, tourism, and public administration. He focuses on building integrated systems that enable predictive insights, faster decision making, and measurable outcomes for governments.
Sandip actively contributes to the discourse on AI governance through his writing and advisory work, advocating for a shift from pilot driven approaches to structured, scalable execution models. His work positions AI as a core governance layer that can enhance both administrative efficiency and citizen experience.