“The purpose of AI is to amplify human potential.”
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A global leader on the future of AI and business.
Awards & Features
Host of AI Across Borders: The Global AI Podcast
Listening to AI Across Borders is like sitting down with a brilliant thinker from another corner of the world, and discovering ideas you didn’t even know you needed. Only this conversation is filled with trailblazing innovators, global leaders, cultural changemakers, and the real stories shaping the future of AI and humanity.
Every episode delivers fresh perspectives, powerful insights, and the kind of clarity that stays with you long after you’ve stopped listening.
AI Entrepreneur and Advisor
Dr. Ayesha Khanna is the Co-Founder and CEO of Addo, a global artificial intelligence (AI) solutions firm. Ayesha was recognized as a trailblazing female entrepreneur in Southeast Asia by Forbes. She provides strategic advisory to corporates and governments on artificial intelligence, smart cities, and the metaverse.
Board Member and Governance Advisor
Ayesha serves several public, private and government boards. She serves on the board of Johnson Controls (NYSE: JCI), the board of NEOM Tonomous, responsible for formulating the vision and delivery of the technology infrastructure for NEOM in Saudi Arabia, and on the Scientific Advisory Board of L'Oreal. Previously, she served on the board of AVEVA, which was part of the FTSE100, before its acquisition by Schneider Electric. She has also served on several Singapore government boards.
Author and Speaker on AI
Ayesha authored Straight Through Processing (2008) and co-authored Hybrid Reality: Thriving in the Emerging Human-Technology Civilization (2012). Her insights on technology, innovation, and smart cities have been featured in esteemed publications such as The New York Times, BusinessWeek, Forbes, Harvard Business Review, and more.
Writing
Placeholder cover
Built to Operate
by Dr. Ayesha Khanna
Designing Companies That Win With AI
CEO of Addo AI Dr. Ayesha Khanna, PhD’s book is an operating manual for moving beyond AI pilots into full agentic deployment, built around real corporate case studies — Walmart, JPMorgan, John Deere, Eli Lilly—that show how to govern autonomous agents securely, retrain domain experts into T-shaped leaders, and measure real margin impact instead of vanity adoption metrics, so P&L owners can turn AI from a costly science experiment into ruthless enterprise compounding.
To be published by Wiley in 2027.
Contact: Leah Zarra at Wiley (world).
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