Speaking

Vinay Poojary is a senior transformation executive who has led large-scale organizational and digital change at global Fortune 100 enterprises — and works with organizations navigating the deeper transition toward AI-first ways of operating, at enterprise and industrial scale.

At the heart of his work is a singular conviction: that the most consequential design challenge of our time is not building AI, but building the organizational conditions in which humans and machines can coexist and work together — with clarity, with purpose, and with each playing to their deepest strengths. He helps organizations design the operating models, human foundations, and talent stack that make that possible — and the governance structures that keep it all coherent.

He has partnered with Boards and executive leadership at Vale, Oracle Cerner, PwC, Deloitte, and Aon across North America, Asia, and South America — and speaks across the mining, energy, and industrial sectors on what it genuinely takes to lead change when the stakes are real.

Digital Transformation in Traditional Industries

How to deploy emerging technologies in organizations with legacy systems, entrenched workflows, and operational constraints that kill half-baked implementations. Based on leading transformations across mining, healthcare, and utilities at global scale.

Why AI Projects Fail (And How to Prevent It)

The six decisions that separate projects that deliver value from expensive zombies that consume resources without producing results. Drawn from leading AI deployments at Fortune 100 enterprises.

Leading Change When Nobody Wants to Change

Managing organizational resistance, political dynamics, and stakeholder conflicts during large-scale technology rollouts. Practical approaches from deploying systems across continents and cultures.

Building the People Stack for an AI-First Organization

Who you hire has changed. How you train has changed. What you pay for, and why, has changed. Most enterprises are still running AI on top of job architectures, compensation models, and performance systems built for a pre-AI world — and wondering why the technology isn't delivering.

The Innovation Stack: Reimagining Creative Work in a Post-AI Enterprise

Every AI business case promises the same thing — free your people from the routine so they can do higher-order work. Almost no organization has figured out what that actually means or how to build for it. Creative thinking doesn't happen because you cleared someone's calendar. It requires different conditions, different incentives, and different leadership behaviors than the ones that made your operation run efficiently in the first place.