Serious Managers Guide to AI Strategy and Road Mapping: Step-by-Step Overview of Implementation for an Agentic-based Workforce, including Challenges and Recommendations

Artificial intelligence has shifted from experimental use to a core element of business strategy. Yet most organizations still struggle with the most fundamental questions: Where should we start? What should we build? How do we ensure AI is safe, responsible, and aligned with our mission? How do we avoid wasting time, money, and credibility?

Managers are expected to make decisions about AI investments, prioritize use cases, manage risk, and lead teams through change. Yet most resources fall into one of two extremes: deeply technical content that assumes you're training models yourself, or high-level thought leadership that sounds inspiring but offers no actionable steps.

This book fills that gap.

Organized into six parts with hands-on workbooks, you will learn how to:

• Understand the AI moment—why strategy matters now, what AI can and cannot do, and how to connect AI investments to measurable value through the AI Value Equation • Start with mission, not models—framing AI initiatives around organizational purpose rather than technology hype • Assess organizational readiness across four dimensions: data maturity, people and skills, process integration, and cultural preparedness • Identify, score, and prioritize AI use cases using structured evaluation frameworks that balance impact, feasibility, and risk • Design an AI operating model with clear roles, decision rights, and accountability for strategy, development, deployment, and governance • Build a 90-day AI roadmap that creates momentum, demonstrates value, and earns organizational trust • Run AI pilots that actually work—scoping, success criteria, stakeholder alignment, and the transition from experiment to production • Scale AI across the enterprise without losing governance, creating shadow AI, or burning out teams • Embed responsible AI by design—fairness, transparency, safety, and accountability woven into every stage of the lifecycle • Manage risk, compliance, and security across the AI development and deployment pipeline • Build AI talent, skills, and organizational capability—hiring, upskilling, and creating the roles that didn't exist two years ago • Drive adoption through structured change management—overcoming resistance, building champions, and sustaining momentum • Apply the AI Manager's Playbook—a chapter that ties every concept to actionable leadership practices you can use Monday morning

Part VI provides ready-to-use templates and frameworks for AI readiness assessments, use-case prioritization matrices, pilot charters, governance checklists, and roadmap planning. Real-world case studies show how organizations across healthcare, finance, government, and logistics have applied these principles.

Written by Brittanee Charles, a systems transformation specialist, and Claude Louis-Charles, PhD, an AI governance strategist with over 30 years of enterprise modernization experience.

© 2024 PublishDrive (E-bog): 9781972752128

Udgivelsesdato

E-bog: 20. november 2024