Ai-Powered Change Management Strategies

Leading the AI Revolution: Mastering Change Management for Generative AI Success

What you'll learn

Integrate AI initiatives into Business Strategy aligning them to business goals.

Apply proven Change Management Models to AI-driven Transformation.

Develop a strategic roadmap for sustainable AI adoption.

Engage Stakeholders, Communicate the Value of Generative AI, and Overcome Resistance to AI Adoption.

Define and track AI success metrics and adoption progress, and address implementation challenges.

Develop strategies for ethical and responsible AI implementation and mitigate risks.

Requirements

Basic understanding of AI concepts.

Experience in business management or technology implementation.

Familiarity with strategy and strategic thinking.

Familiarity with organizational change processes.

Description

According to Gartner’s 2022 report, more than 85% of AI initiatives fail—not due to technology, but because of inadequate change management. The challenge with generative AI is not just its technical deployment but how organizations adapt to and integrate this rapidly evolving technology into their culture, processes, and strategy.This course is designed to empower business leaders, managers, and professionals with the skills and confidence to successfully navigate AI-driven transformation. Generative AI is revolutionizing industries from finance to healthcare, but without a clear strategy for adoption, organizations risk falling behind competitors who leverage AI effectively.Through interactive discussions, practical exercises, real-world case studies, and proven change management frameworks, participants will learn how to align AI initiatives with business goals, engage stakeholders at all levels, and foster an AI-ready culture. The course highlights ethical considerations, risk management, and best practices for ensuring sustainable AI adoption that delivers long-term business value.Whether you’re deploying AI in operations, marketing, customer service, or product development, this course provides actionable strategies for overcoming resistance, defining success metrics, and integrating AI seamlessly into your business strategy. By the end, you’ll have a roadmap to champion AI adoption confidently and responsibly.Participants will understand the role of generative AI in business transformation, learn how to incorporate AI into organizational strategy, and develop tools to manage AI-driven change. They will gain insights into overcoming resistance, implementing AI solutions, navigating adoption challenges, and ensuring that AI integration delivers continuous improvement and sustained value across the organization.

Overview

Section 1: Introduction

Lecture 1 Overview

Lecture 2 Meet Your Instructor

Lecture 3 Course Roadmap

Section 2: Generative AI Fundamentals

Lecture 4 Introduction to Generative AI

Lecture 5 Generative AI Use Cases

Lecture 6 Challenges for AI Adoption and Implementation

Lecture 7 AI and Business Strategy

Lecture 8 Building an AI Business Strategy: A Beginner's Guide

Lecture 9 Hands-on Lab: Assessing Generative AI Adoption Feasibility

Section 3: Change Management Models for AI Adoption and Implementation

Lecture 10 Change Management Fundamentals

Lecture 11 Change Management Models for AI

Lecture 12 Impact Assessment and Change Readiness for AI

Lecture 13 Adopting AI-Driven Change Management: Key Strategies for Organizational Growth

Lecture 14 Formulating a change management strategy for AI Adoption and Implementation

Lecture 15 Hands-on-lab : Crafting a Change Management Strategy for AI Adoption

Section 4: Stakeholder Engagement & Overcoming Resistance for Generative AI Implementation

Lecture 16 Identifying Key Stakeholders in AI Adoption

Lecture 17 Communicating AI’s Value and Managing Expectations

Lecture 18 Overcoming Resistance to AI Implementation

Lecture 19 Building a Collaborative AI Culture

Lecture 20 From Resistance to Advocacy: Strategies for Overcoming Organizational Resistance

Lecture 21 Hands-on-lab: Engaging Stakeholders and Overcoming Resistance in AI Adoption

Section 5: Monitoring AI Implementation and Sustaining AI-Driven Change

Lecture 22 Tracking AI Implementation and Performance Metrics

Lecture 23 Gathering Feedback and Addressing Challenges

Lecture 24 Embedding AI into Business Processes

Lecture 25 Creating a Culture of Continuous AI Improvement

Lecture 26 19 Ways To Effectively Integrate AI Into Business Processes In 2025

Lecture 27 Hands-on-lab: Tracking AI Success and Driving Continuous Improvement

Section 6: Ethical Considerations and Risk Management in AI Adoption

Lecture 28 Ethical Challenges in GenAI Implementation Adoption

Lecture 29 GenAI Regulations and Compliance

Lecture 30 AI Risk Management Frameworks

Lecture 31 Hands-on-lab: Developing a GenAI Ethics and Risk Mitigation Plan

Lecture 32 Building Trust and Transparency in GenAI

Lecture 33 Building Transparency into AI Projects

Section 7: Wrap-Up and Capstone

Lecture 34 Course wrap up video

Lecture 35 Capstone Project: Developing an AI Change Management Strategy

Business leaders and decision-makers implementing AI strategies.,Project and change managers leading AI transformation.,HR and L&D professionals supporting AI adoption.,IT and operations teams integrating AI tools.,Anyone interested in successfully navigating AI-driven change.