Dr Srinivas Padmanabhuni

AI assurance and AI strategy for boards and leadership teams

Dr Srinivas Padmanabhuni helps boards and leadership teams decide where AI should create value and prove that their AI systems work as claimed before customers and regulators rely on them. He is CTO and Co-founder of testAIng.com / AiEnsured, an ISO/IEC 42001-certified company that independently tests and assures enterprise AI, including AI agents. His view rests on three decades in AI: a PhD from the University of Alberta (2000), 13 years leading research at Infosys Labs, and a term as President of ACM India.

• Builds and runs AI assurance at scale. CTO and Co-founder of testAIng.com / AiEnsured since 2019. The company is ISO/IEC 42001 certified and recognised by Forbes India DGEMS 200 and TiE TGS 100 (Top 10).

• Gives away the method. His open Agentic AI Test Planning and Evidence Kit (110 tests, CC BY 4.0) has passed 5,000+ downloads on Hugging Face.

• Trusted voice on AI and work. TEDx speaker, featured by NDTV in October 2026, and a speaker in India, the USA, the UK, Australia and Singapore.

Fast facts

• Role: CTO and Co-founder, testAIng.com / AiEnsured (since 2019), Bengaluru, India

• Focus: AI assurance, AI governance and AI strategy for boards and CXOs; testing of LLMs and AI agents

• Education: PhD in Computing Science (thesis in AI), University of Alberta, 2000; M.Tech, IIT Bombay; B.Tech, IIT Kanpur

• Earlier: Associate Vice President and Head of University Relations and Platforms Research, Infosys Labs (2002–2015)

• Community: Past President, ACM India (2014–2016); former President, ACM SIGSOFT India

• Honours: Eminent Engineer, Institution of Engineers (India); TEDx speaker (2025)

• Writing: 57 papers and book chapters; author of Distributed Systems Security (Wiley, 2009); an upcoming book on Agentic AI

• Speaking: 90+ unique talks and keynotes

• Newsletter: Boardroom AI Brief (weekly, on Substack)

• Contact: srinivas AT testAIng.com

Featured work

Agentic AI Test Planning and Evidence Kit v1.3.1

A free, open working pack that turns the risks of AI agents into test plans and evidence a release board can sign off. 110 tests, an Excel planner and a short guide. 5,000+ downloads on Hugging Face. CC BY 4.0.

Download the kit

NDTV, October 2026: More AI agents than humans?

NDTV's feature on futurist Mike Walsh's claim, with expert views on jobs, degrees and the guardrails organisations need.

Read on NDTV

TEDx: AI Creates Careers, Not Replaces Humans

Why AI will create more careers than it removes, and what people and institutions should do now to be ready. TEDxDTSS College of Law, 2025 (14 min).

Watch the talk

Boardroom AI Brief: Measuring AI ROI Without Fooling Yourself

Latest issue (12 Nov 2026).

Read the issue

Subscribe to the Boardroom AI Brief

Testing Agentic AI: articles and open tools

A weekly series on how to test AI agents, with small experiments you can run. Read it on Substack: https://drsrinivaspadmanabhuni.substack.com/p/start-here-testing-agentic-ai . Medium roadmap: https://medium.com/@srinivas_33580/a-20-part-roadmap-for-testing-agentic-ai-25cf4ceb42f0 . Run the checks yourself with agentest, an open-source offline test runner for AI agents (https://github.com/srpadmanabhuni/agentest).

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.

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

Read my newsletter: Boardroom AI Brief

Boardroom AI Brief: Weekly AI strategy, governance and responsible AI for CXOs and boards.

Latest issue (12 Nov 2026), Measuring AI ROI Without Fooling Yourself: https://boardroomaibrief.substack.com/p/measuring-ai-roi-without-fooling 

Subscribe free: https://boardroomaibrief.substack.com/ 

Contact: srinivas AT testAIng.com (see the Contact page)