01
Where AI Fits in Change Management
Change management runs on information, language, and judgement, which makes AI useful for production-heavy work without making it a substitute for context. You learn to map tools, classify tasks with the AI Opportunity Matrix, protect human decisions, and use the Augmentation Ladder responsibly.
02
Diagnosing Change with the SHIFT Framework
Structured diagnosis with SHIFT matters because change managers need a human picture before AI or anyone else drafts communications, briefings, engagement plans, or resistance work. You finish able to map affected groups, grade impact, name friction, test AI output, and surface programme gaps early.
03
Change Communications
Change communications turns SHIFT analysis into targeted messages that people can use, protecting credibility when timing, audience impact, and rumour pressure matter. You learn to split audiences, brief AI with PRISM, adapt channels, and check drafts with TRUST before anything carries a sender's name.
04
Stakeholder Engagement and Resistance
Stakeholder engagement and resistance are treated as connected disciplines, because change teams need current relationship intelligence before concerns harden into programme risk. By the end, you can maintain a living map, classify resistance signals, choose the right response type, and prepare a GROUND conversation.
05
Building and Measuring Adoption
This module follows change past go-live, where green delivery can still hide weak adoption, workarounds, and drift. By the end, you can design AI-assisted measurement, interpret adoption signals for sponsors, and choose reinforcement actions that keep the new way normal.
06
Data Safety and Your 30-Day Plan
Change programme data can expose real people through stakeholder maps, survey comments, resistance notes, and employment-sensitive plans, so safe AI use matters before habits form. You classify data, apply GUARD and the HR AI Safety Protocol, then create a practical 30-day AI+You plan.