AI-First Leader: A Practical Guide to Organizational AI Leadership
About this ebook
Blending technical clarity with strategic insight, the book is anchored in real-world frameworks and brought to life through the fictional yet highly realistic case study of NovaBridge Health, a mid-sized healthcare system navigating the risks and rewards of AI transformation. Through this narrative, readers gain firsthand insights into overcoming early missteps, building trust, aligning AI systems with KPIs, and scaling responsibly in regulated environments. Topics span foundational and advanced concepts, from data governance, model evaluation, and prompt engineering to the deployment of AI agents, resilient infrastructure, and responsible AI practices. Actionable insights, decision frameworks, and sector-specific examples help leaders bridge the gap between innovation and execution.
Written for CEOs, CTOs, product managers, and innovation leads, AI-First Leader: A Practical Guide to Organizational AI demystifies AI without diluting its complexity. Whether you’re building your first chatbot, deploying generative search and co-pilots, or shaping guardrails for enterprise-wide use, this book provides the blueprint to lead with AI strategically, responsibly, and at scale.
About the author
Bhavesh Mehta is a seasoned technology leader with over 20 years of experience in AI, machine learning, and enterprise software development. He has architected and launched enterprise platforms that converse, learn, and scale, from Cisco’s global networks to Uber’s real-time support systems. His generative-AI solutions now field millions of customer interactions daily, significantly improving satisfaction scores while cutting resolution times. A named inventor on multiple patents in machine intelligence, distributed computing, and virtualization, Bhavesh also mentors the next wave of AI disruptors.
Mahesh Kumar, engineer by training, strategist by instinct, has spent two decades turning deep-tech bets into billion- dollar realities. He has held leadership roles at Veritas, VMware, and Uber. With over 20+ years of experience in cloud infrastructure and management, DevOps, and now Gen AI, he has helped build product portfolios, developed enterprise partnerships, and scaled transformative solutions to market dominance. Fluent in materials science, systems engineering, and go-to-market storytelling, Mahesh bridges the lab and the C-suite, proving that AI-first execution isn’t a buzzword. It is a blueprint for unstoppable growth.
