“How AI will reshape business may be the single most important question facing leaders today. Turning generative AI into business value requires difficult decisions about people, technology, data, and organizational change.”
Prasanna Tambe, Professor at The Wharton School
Synopsis
When pilots aren’t enough, leaders need a repeatable path to scale.
When a rival GenAI lending platform threatens InnovateCapital, Chief Data and AI Officer Raj Kaur must move fast without losing trust. Part parable, part field guide, the book shows leaders how to turn pilots into governed, enterprise-scale outcomes using practical frameworks for strategy, governance, data privacy, workflows, and adoption.
Frameworks
Practical Frameworks for Putting AI to Work
Four practical frameworks for strategy, scale, governance, and agentic workflow design.
SEE: Strategy · Excellence · Enablement
Aligns AI ambition with strategic clarity, execution discipline, and organizational enablement.
ASCEND: Scaling AI Initiatives
A framework for organizations to move GenAI initiatives from promising prototypes to scalable, enterprise-ready capabilities.
Operationalizing AI Governance
A practical framework for embedding AI governance into how organizations make decisions, manage risk, and scale adoption.
Agentic Workflow Canvas
A planning canvas for redesigning workflows where humans, agents, systems, and controls must work together with clear accountability.
Speaking
The Executive Agenda
Six practical topics for executives moving from AI ambition to business value, responsible adoption, and enterprise scale.
Defining AI Strategy
How to identify the right AI opportunities, define outcomes, and build the operating model.
The Economics of AI
How leaders can evaluate AI investments, costs, productivity gains, and measurable business value.
Agentic Workflows
How to redesign workflows for humans, agents, controls, and accountability.
GenAI Governance
How leaders can operationalize governance for responsible adoption.
Scaling GenAI Initiatives
From pilots to platforms, portfolios, and measurable enterprise value.
Leading the AI-Augmented Enterprise
How AI changes roles, decision-making, skills, and the way organizations operate.
Testimonials
“How AI will reshape business may be the single most important question facing leaders today. Turning generative AI into business value requires difficult decisions about people, technology, data, and organizational change. By following an executive through that journey, this book brings those decisions vividly to life. It’s a highly engaging, practical read for leaders navigating AI adoption.”
Prasanna Tambe, Professor at The Wharton School, Co-Director of Wharton Human-AI Research
“What an engaging, fun, and practical read for any business leader trying to integrate AI as a mainstreamed tool in their organization. Ironically, the human element of change management is what needs to go well for GenAI to be useful and I came away energized, with a clearer sense of what’s possible and how to get started after reading this book.”
Jennifer Simpson, CFO at Ashoka
“Kohli’s SEE Framework (Strategy, Excellence, Enablement) is exactly the practical playbook leaders need, as it is grounded in real work navigating governance, privacy, and customer adoption. This book cuts through the noise and delivers actionable frameworks any business leader or technologist should read.”
David Getler, Chairman and CEO at KryptoCore, Inc
“Written for both technical and nontechnical readers, the book gives you a front-row seat alongside the stakeholders: their discussions, insights, and collective learning experience. The frameworks presented give leaders a practical methodology, and the depth of knowledge will help any executive seeking to understand the complete journey of GenAI transformation.”
Ali Qureshi, Business Advisor and AI Practitioner
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Whether it’s a keynote, an executive workshop, or an advisory conversation, Davinder partners with leadership teams to turn AI ambition into governed, enterprise-ready outcomes.
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