This episode of the AI Governance Podcast features Sunil Gregory and Dr. Anindya Sircar. Sunil is at Cognizant, where he works with Fortune 500 enterprises on AI governance strategy and operating-model design. Anindya is the IPR Chair at NALSAR University of Law in Hyderabad, having previously run intellectual property at Biocon and Infosys. Together they are co-authors of the AI Governance Handbook (Springer, 2025) and are working on a follow-up that argues regulators are over-engineering the response to AI.
Sunil and Anindya joined Enzai's Matt McCallum to discuss:
The Structural Fix for Shadow AI: Sunil's three-layer model - consolidation, structured funded portfolio, and governance built into the development lifecycle - for CIOs whose AI budgets have already exhausted on pilots that haven't graduated.
The IP Inventory Test: Anindya's "smoke detector in a building without a sprinkler system" framing for enterprise IP exposure programs - and the connected inventory question every governance team should be able to answer.
Industrialised Inconsistency in Data: Why AI breaks what analytics didn't - when the human silently fixing the data is removed from the loop, every ambiguity surfaces as a wrong answer, a hallucination, or a critical legal exposure.
India's Deliberate Choice: Why Western enterprise leaders most often misread India's DPDP Act as underdeveloped - and what they miss when they treat the principle-based framework as a strategic asset rather than a gap.
Doctrine Over New Statute: A preview of Sunil and Anindya's follow-up book - and the case for extending existing legal doctrines (IP, privacy, accountability, sovereignty, human dignity) rather than inventing new AI-specific frameworks.
