Dr Srinivas Padmanabhuni

AI Governance, AI Strategy and Responsible AI Advisory

AI assurance is the evidence that an AI system is accurate, robust, fair, secure and compliant before and after it goes live. Dr Padmanabhuni helps boards and CXOs turn that evidence into decisions: which AI bets to make, how to test LLMs and AI agents, and how to govern responsible AI in line with ISO/IEC 42001, India's DPDP Act and the EU AI Act.

AI Strategy & Roadmaps

Board-ready AI strategy grounded in value, risk and capability.

Responsible & Assured AI

Governance, testing and assurance so AI is safe, fair, transparent and compliant.

Agentic AI & GenAI Adoption

From pilot to production for LLM and multi-agent systems.

AI Governance

Practical AI governance for boards and leadership teams: clear accountability, risk tiers for every AI system, policies that engineers can follow, and evidence that controls work. Aligned with ISO/IEC 42001, the NIST AI RMF, the EU AI Act, India's AI Governance Guidelines and the DPDP Act. See AI governance advisory.

Dr Srinivas Padmanabhuni is an India-based AI strategist and AI assurance leader with a PhD in Artificial Intelligence from the University of Alberta. A former President of ACM India (2014–2016) and former Principal Research Scientist and Associate Vice President at Infosys Labs, he advises boards, CXOs and institutions on AI strategy, responsible and assured AI, and agentic AI.

AI governance, AI strategy and responsible AI: definitions by Dr Srinivas Padmanabhuni

"AI governance is the system of decisions, roles, policies and evidence that lets an organisation know which AI it uses, what each system is allowed to do, who is accountable for it, and whether it is behaving as claimed." – Dr Srinivas Padmanabhuni

"An AI strategy is a choice of where AI will create measurable value for the business, what risks the organisation will accept to get it, and how that value and risk will be proven over time." – Dr Srinivas Padmanabhuni

"Responsible AI is AI that is fair, explainable, privacy-preserving, secure and accountable in practice, not only in policy. If you cannot test it, you cannot claim it." – Dr Srinivas Padmanabhuni

"AI assurance is the evidence layer of AI governance: the testing, monitoring and audit that show an AI system does what is claimed, and only that." – Dr Srinivas Padmanabhuni

Frameworks I work with

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Contact: spadmanabhuni AT acm.org (see the Contact page)