AI-First Leader: A Practical Guide to Organizational AI Leadership - Paperback

by Bhavesh Mehta (Author), Mahesh Kumar (Author)

AI-First Leader is a practical guide for executives, technology leaders, and decision-makers seeking to turn artificial intelligence into a strategic advantage. As AI rapidly reshapes how organizations operate and compete, this book provides a clear roadmap from initial awareness to enterprise-wide adoption. It equips leaders with the tools to navigate both the promise and complexity of today's AI landscape, including machine learning, generative AI, and autonomous systems.

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 insight 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 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.

Author Biography

Bhavesh Mehta is an AI-first leader, engineer, and product strategist with over 20 years of experience building scalable technology systems and driving industry transformation. Currently leading customer support technology and engineering at Uber, Bhavesh applies conversational and generative AI to real- world problems, reducing operational costs and improving user experience at scale. Grounded in systems thinking and AI infrastructure, Bhavesh turns complex technologies into resilient, scalable platforms that deliver real-world impact.

He has held leadership roles at Cisco, VMware, and high-growth startups, where he launched innovative products, scaled teams across geographies, and authored multiple foundational patents in virtualization, storage, and AI. Bhavesh brings a rare blend of deep technical expertise and executive vision -- bridging complex AI architectures with strategic business value. As an advisor to AI startups and a champion of responsible innovation, Bhavesh is passionate about democratizing AI for enterprises. In AI-First Leader, he distills his experience into actionable frameworks and casebased insights to help decision- makers lead with confidence, navigate AI's risks, and unlock its full potential.

Mahesh Kumar is a seasoned product executive with over 20 years of experience at the intersection of AI, cloud, and enterprise software. He has held leadership roles at Veritas, VMware, and Uber, helping to shape multibillion-dollar product portfolios, forge strategic partnerships, and deliver transformative solutions at global scale. With academic roots in materials science, computer science, and business, Mahesh brings a rare combination of technical depth and strategic vision -- making complex technologies like generative AI both accessible and actionable for business leaders.

At Uber, Mahesh plays a pivotal role in defining the company's AI/ ML product strategy, with a focus on next- generation automation and intelligent customer experiences. A trusted advisor to startups and a seasoned public speaker, he has represented global organizations at conferences, executive briefings, and customer summits. He is a passionate advocate for responsible innovation and believes AI should augment -- not replace -- human potential. In AI-First Leader, he translates decades of cross-disciplinary experience into clear, practical guidance for navigating the evolving AI landscape.