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Vineet Shrivastava: Scaling AI Adoption
- A Field Guide for Leaders

Scaling AI Adoption - A Field Guide for Leaders

Strategy-Driven Delivery is a practical guide for senior project, programme and strategy managers who need to close the gap between strategic intent and successful execution. Written by experienced transformation experts Helen Winter and Jon Wrennall, this book shows why strategy fails in practice and how to design programmes and operating models that ensure delivery success. It provides a clear, structured approach to aligning projects with business goals while enabling trust, accountability and effective decision-making at scale. Drawing on real-world examples across financial services, IT and software development, this book equips you to: - Design programmes aligned to strategic business outcome - Build operating models that enable effective delivery - Embed governance that supports trust and decision-making - Overcome stalled progress and delivery challenges - Apply AI and automation to modern project environments With practical frameworks and forward-looking insight, Strategy-Driven Delivery helps you lead complex transformation with clarity, control and measurable impact. Themes include: strategy execution, programme management, transformation leadership, operating models, project governance, AI in project delivery

Aligning Organizations, Programs and Projects

Strategy-Driven Delivery

An executive operating system for leading AI-driven strategic transformation Intelligence as a Commodity: Human Judgment as a Competitive Advantage delivers a structured leadership playbook for executives navigating AI adoption. Written by Rajeev Kapur, who built a billion-dollar business at Dell, and Jason Hunter, a senior consultant for the Blue Ocean Strategy Network, the book moves beyond AI trends to provide actionable frameworks for strategic foresight, organizational redesign, and ethical AI governance at the enterprise level. The book introduces flagship tools including HorizonAI for scenario-based strategic planning, HealthCheckAI for operational resilience assessment, and AI Deep Blue Strategy for AI-driven market innovation. Additional frameworks cover Executive Archetypes, the AI Leadership OS, AI Organizational OS, and Collective Intelligence Framework, each designed to shift organizations from reactive AI adoption to proactive, sustainable competitive positioning. Readers will also find: <ul> <li>Frameworks for assessing AI readiness and prioritizing initiatives across enterprise operations and strategy functions</li> <li>Tools for integrating human-AI collaboration while managing ethical, operational, and governance risk at scale</li> <li>Scenario-based strategic planning methods using HorizonAI to anticipate market shifts and technology disruptions</li> <li>Organizational redesign approaches for building agility and hybrid intelligence into existing leadership structures</li> <li>Guidance on embedding ethical AI governance and risk management into enterprise-wide adoption programs</li> </ul> Written for C-suite executives, directors, entrepreneurs, MBA participants, and consultants overseeing strategy, operations, and innovation, this book provides the frameworks and tools needed to lead AI-driven transformation with clear organizational design, ethical governance, and measurable business outcomes at the enterprise level.

Human Judgment as a Competitive Advantage

Intelligence as a Commodity

Drive measurable growth, engagement and ROI from your content marketing strategy in an AI-driven landscape. High-Impact Content Marketing shows senior marketing leaders, content strategists and digital teams how to turn content into a scalable revenue engine while navigating budget pressure, AI disruption and rising audience expectations for authenticity. As content marketing reaches a critical inflection point, this second edition provides a clear, strategic framework for delivering impact across channels while maintaining trust and relevance. Written by Purna Virji, a globally recognized marketing leader and Principal Consultant at LinkedIn, this award-winning book combines behavioral science with proven content strategy to help organizations stand out and convert. Drawing on real-world examples from Patagonia, Duolingo and Morning Brew, it demonstrates how leading brands align creativity with commercial outcomes and build sustainable competitive advantage. You'll learn how to: - Build high-impact content strategies aligned to revenue goals - Apply behavioral science to increase engagement and conversion - Measure ROI using attribution and revenue influence frameworks - Integrate AI into content workflows responsibly and effectively - Scale distribution across channels to maximize reach and performance This second edition includes new guidance on AI-augmented workflows, multi-touch attribution models and inclusive prompt engineering to reduce bias and risk. It also highlights how subject matter expertise creates defensible advantage in an era of automation. Future-proof your content marketing approach with a strategic, data-led system designed to deliver measurable business results, strengthen customer relationships and sustain long-term growth. Themes include: content marketing strategy, AI in marketing, customer engagement, marketing ROI, content distribution, behavioral science

Strategies to Make Your Content Intentional, Engaging and Effective

High-Impact Content Marketing

Build an organic social media strategy that drives measurable engagement, strengthens brand trust and delivers long-term business value. Organic Social Media is a strategic playbook for marketing managers, social media leads, and digital professionals responsible for turning content into consistent performance. As platforms evolve, algorithms shift and AI reshapes how content is created and distributed; organizations must move beyond reactive posting toward structured, insight-led strategy. This book shows you how to align audience understanding, platform selection and content planning with clear commercial outcomes. Written by Jenni Li Fowler, Director of Social Media Strategy at the Massachusetts Institute of Technology (MIT), this fully updated second edition reflects the realities of managing social media at scale. Drawing on enterprise-level experience, it combines proven frameworks with real-world examples to help you integrate influencer marketing across the full strategy lifecycle and apply generative AI responsibly, transparently and effectively. You'll learn how to: - Build audience-first strategies that drive engagement and community growth - Ask the right questions to shape insight-led social media planning - Develop scalable content plans aligned to brand and business goals - Create and manage strategic content calendars with clear performance metrics - Integrate influencer marketing and AI into cohesive social media strategies With a clear focus on execution, alignment and ROI, Organic Social Media equips you to strengthen brand voice, improve internal workflows and deliver consistent, measurable results in a fast-changing digital landscape. Themes include: social media strategy, community building, content planning, influencer marketing, generative AI, social media analytics

How to Build Flourishing Online Communities

Organic Social Media

Organizations in Context

In a complex business landscape, enterprise architecture can't afford to be a static governance process. Instead, architecture must be adaptive and strategic. This book shows how. Drawing on decades of experiences, Adaptive Enterprise Architecture by Rubi Kaur is a practical guide to enterprise architecture that responds to real business conditions. Explaining why traditional architecture practices are no longer effective, it shows the impact of the pressures of AI, the complexity of modern organizations both in terms of technology and structure as well as the increase of ESG, tech supply chain and geopolitical risks. The book introduces its FLOW model which covers how architecture must operate in the new world. It explains how architect can work across the entire business, build adaptive and evolving architecture, reimagine their roles as orchestrator, create adaptive and agile governance. It equips architects to operate in flow: adapting in real time, orchestrating across business, technology, people and AI. Each chapter will include reflection prompts and practical experiments. The book will feature real-world examples from financial services, telecommunications, the public sector and consulting from the authors' careers and interviews with leading practitioners.

Shape the Flow of Value, Decisions and Innovation

Adaptive Enterprise Architecture

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems - Manage reputational and operational risks from AI agent behavior Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Build It and They Will Come

Rockstars and Rainmakers

How AI is transforming consulting and professional services, plus a new model for the future.Artificial intelligence has disrupted the world of expertise. Work that once required teams of highly trained professionals--research, analysis, modeling, and drafting--can now be completed in seconds. For consulting firms, law firms, accounting practices, and other professional-service organizations, the implications are profound. The very activities that have long generated revenue, developed talent, and sustained competitive advantage are rapidly being transformed. How do firms built on human expertise create value in a world where machines can now think alongside us?In The Future of Expertise, innovation expert David Duncan offers a compelling answer. Drawing on more than two decades of experience at McKinsey, at Clayton Christensen's advisory firm, and on the front lines of AI-enabled consulting, Duncan argues that the basic structure of professional-service firms must be reinvented. He introduces a new model for the AI era: a leaner, more agile "obelisk" structure that replaces the traditional professional-services pyramid with smaller, highly skilled teams augmented by AI.Through real-world examples from consulting, law, accounting, and corporate strategy, Duncan shows how AI is reshaping everything from client expectations to firm economics and profitability to talent development and leadership. He examines why the apprenticeship model that was used to train generations of professionals is breaking down, how firms can rethink careers and capability building, and what new forms of value clients will demand as routine expertise becomes automated.Provocative and deeply insightful yet practical, The Future of Expertise is an essential guide for leaders navigating the next era of knowledge work.

Scaling AI Adoption - A Field Guide for Leaders

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