THE CAIO PODCAST WITH SANJAY PURI

The Conversations Shaping Enterprise AI Leadership

Host Sanjay Puri speaks with the CAIOs, innovation leads, and enterprise executives building the future of AI from the inside. 180+ episodes. Zero fluff.
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Kellie Romack

Chief Digital Information Officer,
ServiceNow

Kellie Romack

Chief Digital Information Officer,
ServiceNow

Kellie Romack

Chief Digital Information Officer,
ServiceNow

LATEST EPISODES

Most Recent Conversations

FEATURED EPISODE Duration: 15 min

AI Governance, Security & Accountability: What Should AI Be Allowed to Decide? | With Atul Rai

Featuring: Atul Rai — Co-founder & CEO, Staqu Technologies

How much decision-making should we actually entrust to AI? In this episode of the Regulating AI Podcast, recorded live at the Universal AI Awards launch in Delhi, Sanjay Puri speaks with Atul Rai, Co-founder & CEO of Staqu Technologies, about AI governance, accountability, security, AI models and the challenges of deploying artificial intelligence in mission-critical environments. The conversation explores why AI governance cannot be an afterthought. As organizations deploy AI across sensitive areas, questions around data security, access, accountability, cost, reliability and human oversight become increasingly important. Atul Rai discusses why the future of AI may not simply be about building larger and more powerful models, but about creating more efficient and optimized systems that can deliver meaningful outcomes while managing cost and complexity. The conversation also looks at the use of AI in areas such as homeland security, public safety and crime detection. AI can identify patterns across enormous amounts of data and video that may be difficult for humans to process, but the question remains: when AI makes a prediction or recommendation, who should ultimately make the decision? The discussion examines the limitations of current AI systems, including hallucinations, unpredictability and their difficulty in understanding consequences beyond the data they have been trained on. Looking ahead, Atul Rai argues that the next generation of AI needs to go beyond prediction and move toward understanding consequences, while keeping human intention, ethics and accountability at the centre. The episode ultimately asks a critical question for the AI era: If AI becomes increasingly powerful, how do we ensure that humans remain responsible for how that power is used? Chapters: 00:00 – Why the future of AI isn't just about bigger models 00:17 – Live from the Universal AI Awards in Delhi 01:03 – The risks of deploying AI faster than governance 01:30 – The real cost and ROI of implementing AI 01:54 – What happens when AI gets it wrong? 02:30 – AI decision-making and real-world consequences 02:46 – The growing challenge of AI data security 03:18 – Should AI information have different levels of access? 04:15 – How to choose AI use cases responsibly 04:32 – AI, homeland security and public safety 04:56 – Why human oversight matters in AI 05:28 – The challenge of AI costs and margins 05:59 – Why optimized AI models may matter more than bigger models 06:39 – Why AI governance requires a holistic approach 07:20 – Understanding the capabilities and limitations of AI 08:13 – Where should humans draw the line? 08:30 – How AI can connect patterns across crime data 09:21 – Why AI decisions need human monitoring 10:00 – Why today's AI models still make mistakes 10:42 – What should we get right about AI today? 11:00 – Why today's LLMs aren't truly intelligent 11:40 – What should the AI of the future be able to predict? 12:20 – Bridging deterministic AI with a non-deterministic world 13:10 – The butterfly effect and AI's limitations 13:33 – Can AI predict the next pandemic? 14:06 – Is AI good or bad? The role of human intention 14:14 – The responsibility behind AI's power 14:36 – AI, medicine and solving difficult problems 14:44 – Closing thoughts Guest: Atul Rai, Co-founder & CEO, Staqu Technologies Host: Sanjay Puri Podcast: Regulating AI Recorded live: Universal AI Awards Launch, New Delhi #AIGovernance #ArtificialIntelligence #ResponsibleAI #AIAccountability #AISecurity #AIRegulation #AIModels #HumanOversight #ComputerVision #FutureOfAI #AIIndia #StaquTechnologies #AtulRai #RegulatingAI #SanjayPuri 

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FEATURED EPISODE 32 min
AI Governance in the Age of Agentic AI: Building Safe, Responsible Enterprise AI | Jamie Campbell

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Is India Becoming a Digital Colony in the AI Race? | AI Governance & Sovereignty | With Jibu Elias

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How Businesses Can Get AI Right: Governance, ROI & Human Accountability | Dr. Shakti Goel

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FEATURED EPISODE Duration: 15 min

AI Governance, Security & Accountability: What Should AI Be Allowed to Decide? | With Atul Rai

Featuring: Atul Rai — Co-founder & CEO, Staqu Technologies

How much decision-making should we actually entrust to AI? In this episode of the Regulating AI Podcast, recorded live at the Universal AI Awards launch in Delhi, Sanjay Puri speaks with Atul Rai, Co-founder & CEO of Staqu Technologies, about AI governance, accountability, security, AI models and the challenges of deploying artificial intelligence in mission-critical environments. The conversation explores why AI governance cannot be an afterthought. As organizations deploy AI across sensitive areas, questions around data security, access, accountability, cost, reliability and human oversight become increasingly important. Atul Rai discusses why the future of AI may not simply be about building larger and more powerful models, but about creating more efficient and optimized systems that can deliver meaningful outcomes while managing cost and complexity. The conversation also looks at the use of AI in areas such as homeland security, public safety and crime detection. AI can identify patterns across enormous amounts of data and video that may be difficult for humans to process, but the question remains: when AI makes a prediction or recommendation, who should ultimately make the decision? The discussion examines the limitations of current AI systems, including hallucinations, unpredictability and their difficulty in understanding consequences beyond the data they have been trained on. Looking ahead, Atul Rai argues that the next generation of AI needs to go beyond prediction and move toward understanding consequences, while keeping human intention, ethics and accountability at the centre. The episode ultimately asks a critical question for the AI era: If AI becomes increasingly powerful, how do we ensure that humans remain responsible for how that power is used? Chapters: 00:00 – Why the future of AI isn't just about bigger models 00:17 – Live from the Universal AI Awards in Delhi 01:03 – The risks of deploying AI faster than governance 01:30 – The real cost and ROI of implementing AI 01:54 – What happens when AI gets it wrong? 02:30 – AI decision-making and real-world consequences 02:46 – The growing challenge of AI data security 03:18 – Should AI information have different levels of access? 04:15 – How to choose AI use cases responsibly 04:32 – AI, homeland security and public safety 04:56 – Why human oversight matters in AI 05:28 – The challenge of AI costs and margins 05:59 – Why optimized AI models may matter more than bigger models 06:39 – Why AI governance requires a holistic approach 07:20 – Understanding the capabilities and limitations of AI 08:13 – Where should humans draw the line? 08:30 – How AI can connect patterns across crime data 09:21 – Why AI decisions need human monitoring 10:00 – Why today's AI models still make mistakes 10:42 – What should we get right about AI today? 11:00 – Why today's LLMs aren't truly intelligent 11:40 – What should the AI of the future be able to predict? 12:20 – Bridging deterministic AI with a non-deterministic world 13:10 – The butterfly effect and AI's limitations 13:33 – Can AI predict the next pandemic? 14:06 – Is AI good or bad? The role of human intention 14:14 – The responsibility behind AI's power 14:36 – AI, medicine and solving difficult problems 14:44 – Closing thoughts Guest: Atul Rai, Co-founder & CEO, Staqu Technologies Host: Sanjay Puri Podcast: Regulating AI Recorded live: Universal AI Awards Launch, New Delhi #AIGovernance #ArtificialIntelligence #ResponsibleAI #AIAccountability #AISecurity #AIRegulation #AIModels #HumanOversight #ComputerVision #FutureOfAI #AIIndia #StaquTechnologies #AtulRai #RegulatingAI #SanjayPuri 
FEATURED EPISODE Duration: 32 min

AI Governance in the Age of Agentic AI: Building Safe, Responsible Enterprise AI | Jamie Campbell

Featuring: Jamie Campbell — Head of AI at Manulife Canada

How do enterprises safely deploy AI agents when those agents can access data, call tools, trigger workflows and make consequential decisions? In this episode of the Chief AI Officer Podcast, Sanjay Puri speaks with Jamie Campbell, Head of AI at Manulife Canada, about what it takes to build responsible, governed and scalable AI in a highly regulated enterprise. Jamie explains why AI governance must be treated as an operating system for AI — not an afterthought. He shares how Manulife approaches AI risk, model evaluation, human-in-the-loop decision-making, agentic AI safeguards, enterprise access controls and the challenge of deploying AI across multiple jurisdictions. The conversation explores:
  • Why AI governance needs to be built into AI systems from day one
  • How Manulife's automated underwriting engine uses AI to support life insurance decisions
  • Why prompts alone cannot be trusted as AI safeguards
  • How enterprises can evaluate frontier AI models before putting them into production
  • The control mechanisms needed when AI agents access data or trigger workflows
  • Why enterprise-level permissions and access controls are critical for agentic AI
  • How to manage AI risk across the technology supply chain
  • Build vs. buy decisions for enterprise AI platforms
  • How to balance global AI architectures with local regulatory requirements
  • Why AI champions and change management are essential for adoption
  • How AI leaders should measure ROI through tangible business outcomes
  • Why responsible AI sometimes means deciding where AI should not be used
Jamie also shares a practical framework for AI governance, responsible AI, model evaluation and agentic AI deployment that Chief AI Officers, CIOs, CTOs and enterprise AI leaders can apply to their own organizations. Key themes: AI Governance, Agentic AI, Responsible AI, Enterprise AI, AI Risk Management, AI Regulation, AI Agents, AI Security, AI Compliance, AI Model Evaluation, Human-in-the-Loop AI, AI ROI, Frontier Models, Insurance AI, AI Transformation. Chapters: 00:00 Building Trust in Enterprise AI 01:33 What Is Manulife? 02:07 AI in Highly Regulated Industries 03:34 Governance as the Operating System for AI 04:43 Why You Can't Just Trust the Prompt 05:56 AI-Powered Automated Underwriting 07:03 Human-in-the-Loop AI Governance 10:06 The One Control Every Automated AI System Needs 11:31 Build vs. Buy for Agentic AI 14:05 Managing Frontier Models and AI Supply Chains 17:27 Evaluating AI Models Before Production 19:08 Controlling What AI Agents Can Access 20:44 Global AI Models vs. Local Regulation 22:44 Building an AI Champions Network 24:33 AI Adoption, Change Management & Leadership 27:29 Measuring AI ROI and Business Impact 29:23 Lightning 
FEATURED EPISODE Duration: 40 min

Is India Becoming a Digital Colony in the AI Race? | AI Governance & Sovereignty | With Jibu Elias

Featuring: Jibu Elias — Country Lead – India (and Country Lead for the Responsible Computing Challenge) at the Mozilla

Is India at risk of becoming a digital colony in the global AI race? In this episode of the Regulating AI Podcast, recorded live at the Universal AI Awards launch in Delhi, Soundarya Jayachandran speaks with Jibu Elias from Mozilla Foundation about AI governance, India’s position in the global AI ecosystem, Big Tech, open-source AI, digital sovereignty, and the future of India’s workforce. The conversation explores how India can ensure that the future of AI remains open, competitive and accountable rather than being controlled by a handful of powerful technology companies. Jibu argues that India should recognize the strength of its massive market, invest in AI infrastructure, compute, data and talent, and make strategic use of both open-source and closed AI models rather than simply trying to build another foundation model. The discussion also examines the darker side of the AI revolution — including regulatory capture, exploitative data practices, intellectual property concerns, AI bias, hallucinations, environmental costs, and the growing influence of AI systems over human decision-making. One of the most striking parts of the conversation focuses on AI psychosis and emotional dependence on AI chatbots. Jibu shares his own experience of developing an unexpected level of trust in an AI conversation and discusses why increasingly human-like AI systems can become psychologically persuasive. Looking further ahead, the conversation asks whether India could repeat the mistakes of its IT boom — becoming dependent on low-cost talent rather than building genuine innovation — and whether the country could ultimately become a “digital colony” supplying data, labour and infrastructure to global AI companies. The episode ends with a powerful argument for India to build its own AI capabilities, empower its best talent, strengthen its open-source ecosystem, solve local problems with AI, and ensure that young Indians become builders rather than simply consumers of AI. Chapters: 00:00 – AI, humans and the future of technology 00:35 – Why responsible AI and accountability matter 01:07 – Can India prevent Big Tech gatekeeping? 01:30 – Why India underestimates its AI potential 02:10 – India’s massive AI market and strategic advantage 02:50 – Does India need its own foundation model? 03:04 – Using AI to solve India’s biggest challenges 03:45 – Open-source AI vs. closed AI models 04:06 – The AI infrastructure and talent India needs 04:29 – India, China and the global AI race 04:45 – Are socioeconomic issues being left behind? 04:59 – Why the AI existential-risk narrative matters 05:40 – The danger of regulatory capture 06:13 – How AI was built: labour, data and intellectual property 07:26 – AI scraping, energy use and environmental costs 07:42 – Bias, hallucinations and AI accountability 08:08 – Can AI influence human agency? 08:44 – Is the internet becoming redundant? 09:24 – What is AI psychosis? 09:47 – When people become emotionally dependent on AI 10:27 – AI, mental health and dangerous conversations 11:30 – Why do humans trust AI so easily? 12:27 – Why AI models are designed to be engaging 13:17 – How technology influences our psychology 13:50 – Is AI really neutral and unbiased? 14:38 – The future of AI accountability 14:54 – What should India have gotten right? 15:09 – Learning from India’s IT revolution 16:21 – Did India become too comfortable with cheap talent? 17:17 – The collapse of entry-level tech jobs 18:04 – India’s AI talent and education challenge 18:29 – Could India become a digital colony? 19:22 – Data centres, resources and the cost of AI 20:04 – Why AI may repeat the mistakes of the Industrial Revolution 20:35 – Building India’s AI infrastructure and talent 21:24 – Using AI to solve India’s real problems 21:40 – Building India’s open-source AI ecosystem 21:48 – Setting boundaries for Big Tech in India 22:11 – Finding and empowering India’s AI talent 22:33 – Why India needs more AI builders 22:41 – From AI consumers to AI builders 22:53 – The future of responsible AI in India 23:00 – Closing thoughts Guest: Jibu Elias Host: Sanjay Puri Podcast: Regulating AI Recorded live: Universal AI Awards Launch, New Delhi #AIGovernance #AIIndia #ArtificialIntelligence #AISovereignty #ResponsibleAI #AIRegulation #OpenSourceAI #DigitalSovereignty #FutureOfAI #RegulatingAI #UniversalAIAwards #SanjayPuri 
FEATURED EPISODE Duration: 40 min

How Businesses Can Get AI Right: Governance, ROI & Human Accountability | Dr. Shakti Goel

Featuring: Dr. Shakti Goel — Chief Architect & Data Scientist, Yatra Online Ltd.

How can businesses move AI from experimentation to real-world impact? In this episode of the Regulating AI Podcast, recorded live at the Universal AI Awards launch in Delhi, Sanjay Puri speaks with Dr. Shakti Goel, Chief Architect & Data Scientist at Yatra Online Ltd., about the practical challenges of implementing AI across modern businesses.  The conversation explores why companies need strong data governance and AI governance before deploying AI at scale, and why reliable AI ultimately depends on reliable data. Dr. Shakti Goel explains why businesses need clearly defined use cases, measurable KPIs, strong business backing, and subject matter expertise before moving AI into production. He also shares a practical approach to identifying AI use cases that deliver measurable business outcomes, from improving customer resolution times and developer productivity to hyperpersonalization and automating repetitive tasks. The discussion then turns to one of the most important questions surrounding AI in the travel industry: where should we draw the line between automation and human accountability? While AI can handle straightforward tasks such as flight bookings and travel recommendations, Dr. Goel explains why complex situations involving visas, disruptions, family travel and unexpected circumstances still require human intervention. The conversation concludes with a powerful vision for India's AI future: multilingual AI that can bring people across Tier 2, Tier 3 and Tier 4 cities into the mainstream by making essential services such as banking, insurance, agriculture and education accessible in India's diverse languages and dialects. Chapters: 00:00 – Why AI needs reliable data and strong governance 00:43 – Live from the Universal AI Awards in Delhi 01:12 – What companies are getting wrong about AI 01:36 – Is AI a business transformation or just an IT project? 01:51 – Why data governance and AI governance matter 02:13 – Building the right AI platform and foundation 02:21 – Choosing the right AI use cases 02:56 – How to measure AI ROI 03:19 – Measuring business outcomes from AI 03:42 – Using AI to automate repetitive work 04:00 – AI and the future of the travel industry 04:17 – Where should AI automation stop? 04:24 – Simple AI use cases vs. complex situations 05:03 – Why human intervention still matters 05:18 – What should we get right about AI today? 05:32 – The future of multilingual AI 05:46 – AI and India's vernacular languages 05:52 – Can AI connect India's diverse population? 06:04 – AI for banking, insurance, agriculture and education 06:16 – Bringing Tier 2, 3 and 4 cities into the mainstream 06:24 – Can AI unite India? 06:33 – Closing thoughts Guest: Dr. Shakti Goel, Chief Architect & Data Scientist, Yatra Online Ltd. Host: Soundarya Jayachandran Recorded live: Universal AI Awards Launch, New Delhi #AIGovernance #ArtificialIntelligence #EnterpriseAI #AIAdoption #AIROI #DataGovernance #ResponsibleAI #AIinTravel #MultilingualAI #AIIndia #FutureOfAI #RegulatingAI #ShaktiGoel #SanjayPuri 

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