What happens when AI makes thousands of real-time decisions about inventory, fulfillment, and pricing across a $300M+ operation — and one of them goes wrong?

In this episode of Trustworthy AI, host Pamela Gupta sits down with Nirmal Jingar, Sr. Technology Leader, AI Platforms & Modernization at Wayfair, to explore what AI governance actually looks like when it has to work in production — not just read well in a policy document.

Nirmal isn't advising on AI governance from the outside — he's building and shipping AI systems inside a major e-commerce operation with direct P&L accountability. When governance fails in his world, the result isn't a compliance gap. It's excess inventory, missed deliveries, or lost revenue.

In this conversation, you'll learn:

→ The governance decisions that directly protected business outcomes — not compliance checkboxes

→ Why the biggest AI risk isn't a bad model — it's a missing feedback loop

→ How to assign clear ownership when models retrain, drift, or make autonomous decisions at 2 AM

→ What deterministic, governance-first AI design looks like in a world racing toward agentic AI

→ How to build feedback loops that catch gradual model degradation — not just catastrophic failure

→ What boards and C-suite leaders are dangerously underestimating about AI operational risk

→ What agentic AI in supply chain means for governance — and whether enterprise is ready

About Nirmal Jingar:

Sr. Technology Leader, AI Platforms & Modernization at Wayfair. Forbes Technology Council Member. IEEE Senior Member. Mass Technology Leadership Council Chief AI Officer Group. University Board Member & Advisor.

About Your Host:

Pamela Gupta is the Founder of Trusted AI and creator of the AI TIPS governance framework — deployed across Fortune 500 companies in 120+ countries. Thinkers360 Top 50 Women Thought Leader on AI 2026. ISACA Wasserman Award 2025. CISSP | CISM | CSSLP.

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Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.