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AI for Change Management
Published 8/2026
Created by Grant Gamble
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 49m ) | Size: 2.2 GB
Change management after generative AI & automation: ChatGPT, Claude, Copilot, AI agents, adoption & governance
What you'll learn
Lead AI-enabled change programmes using an AI-native approach that adapts Kotter, Prosci and traditional frameworks to fast, continuous AI adoption cycles. Explain generative AI, predictive AI, agents and integrations in plain language so you can challenge decisions and lead AI change with practical fluency. Write structured, reusable prompts that produce usable change artefacts: leadership briefings, stakeholder emails, FAQs, plans, risk logs and training content. Apply agent mode and automated AI workflows to change tasks safely, with the right human checkpoints, oversight and escalation built in. Use ChatGPT, Claude and Microsoft 365 Copilot deliberately, choosing the right tool for each change task instead of defaulting to a single platform. Apply AI across the full change lifecycle: discovery and readiness, change strategy and design, communications, training, adoption and measurement. Design human-centred adoption that tackles fear, fatigue and deskilling, and builds trust through transparency, explainability and clear accountability. Build governance for responsible AI change, managing risk in agentic workflows and standing up a practical AI governance operating model. Create an AI adoption roadmap and capability plan that upskills your change team and future-proofs your role as a change professional.Requirements
No AI or technical background needed - every concept is explained in plain language for change, transformation and HR professionals. Some experience of organisational change, projects or transformation is helpful, but not essential if you are moving into a change role. Access to at least one AI tool - the free tier of ChatGPT or Claude is enough to complete every exercise in the course. Microsoft 365 Copilot access is useful for the Microsoft-focused lessons, but all exercises have alternatives if you do not have it. No coding, data science or prompt engineering experience required - you will build these skills from scratch as you work through the course. A current or recent change initiative to use as a working example will help you apply the templates and exercises to real work.Description
This course contains the use of artificial intelligence. AI tools are used in the production of this course, including AI-assisted speech delivery based on the instructor's own voice. All content, demonstrations, workbooks, and prompts have been personally designed, reviewed, and verified by the instructor to ensure accuracy and practical value.
Change management is being rewritten. Generative AI and automation have compressed change cycles from quarters into weeks, put AI-generated analysis into everyday decisions, and pushed automation into knowledge work itself. The frameworks most of us trained on - Kotter, Prosci and their peers - were designed for slower, more linear change, and several of their assumptions no longer hold. This course is a practical, hands-on guide to leading change in an AI-native organisation. You will not just learn about AI - you will use it, on real change work, in every section.
No technical background is needed, and no coding is involved. You will build a working mental model of the four AI layers that matter - generative AI, predictive and analytical AI, agents and tool use, and enterprise integration - then apply them across the tools your organisation actually uses: ChatGPT, Claude and Microsoft 365 Copilot in Word, Excel, Teams and PowerPoint. You will master a five-part prompt structure that turns AI into a reliable drafting partner for leadership briefings, stakeholder emails, FAQs, change plans, risk logs and training content, and build a reusable prompt library for your team. You will work with agent mode and automated workflows, learning where to place human checkpoints and how to supervise delegated work. Each of these sections closes with a practical exercise and a role play, so you leave with both a finished artefact and the rehearsed experience of the conversation that goes with it.
From there, the course walks the full change lifecycle: AI-supported discovery and readiness assessment, change strategy and design, communications, engagement and training, then adoption, reinforcement and measurement. You will look at functional and sector use cases, role-based adoption pathways, and the human side that decides whether change sticks - fear, fatigue, deskilling, trust, transparency and clear human accountability. Again, every section ends with a hands-on exercise and a role play - briefing a sceptical stakeholder, handling a difficult adoption conversation, defending a plan under pushback - so you are practising the human side of change, not just reading about it.
Finally, you will build the governance to do this responsibly: risk management for agentic workflows, a workable AI governance operating model, and an AI adoption roadmap and capability plan for your own team. As with every section, you finish with a practical exercise you can run on a live initiative and a role play you can rehearse before you take it into the room. By the end you will have a repeatable AI-enabled change method, a prompt and template library, and the confidence to lead AI adoption - rather than be led by it. Enrol now and start applying it to your next change programme this week.
Who this course is for
Change managers and change leads who want to apply AI across the change lifecycle rather than just read about it. Transformation and programme managers leading AI, digital or operating model change in large organisations. HR, People and OD professionals responsible for adoption, capability building and workforce readiness in an AI-enabled workplace. Project managers, business analysts and PMO leads who are being asked to add AI capability to their change and delivery work. Consultants and internal advisors who want practical AI methods, prompts and templates they can use with clients from day one. Senior leaders and sponsors who need to understand AI adoption, governance and risk well enough to make confident decisions. Prosci, ACMP or APMG-certified practitioners updating traditional frameworks for fast-moving, AI-native change. Anyone moving into a change role who wants to build AI fluency early and stay relevant as the profession evolves.Homepage
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