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Change Management in the AI Era for SMEs

A leadership workshop on guiding your team through AI transformation. Move from anxiety to commitment, with practical tools tailored for SMEs.

Format
1 day (8 hours, including breaks)
Level
Intermediate
Prerequisite
Course 1: AI & Prompt Engineering for SMEs

Overview

Successfully integrating Artificial Intelligence is not just a technical challenge — it is a human one. This one-day workshop is designed for the SME leader who understands the 'what' of AI and now needs to master the 'how' of implementation. We tackle the people side of technological transformation head-on. Participants learn how to build a compelling vision for AI, communicate that vision to inspire buy-in, and manage the inevitable resistance and fear that comes with change. Using proven change management models tailored for the fast-paced, resource-constrained SME environment, this course provides a practical toolkit for leading teams through the AI transition smoothly and effectively.

Course schedule & modules

  • Module 1 — Foundations of Change in the AI Era: Lewin's Force Field, Kotter's 8 Steps, ADKAR, and why classic models struggle with AI
  • Module 2 — The Human Side of AI Change: curiosity, anxiety, resistance; trust, psychological safety, commitment types
  • Module 3 — Crafting an AI Vision: the AI Vision Canvas — purpose, outcomes, boundaries
  • Module 4 — Stakeholders & Readiness: stakeholder analysis, readiness mapping, micro-interventions
  • Module 5 — Communication rhythm: stories, data, short-term wins, channels, visual updates
  • Module 6 — Diagnosing and overcoming resistance patterns (cultural, structural, psychological)
  • Module 7 — The AI Agile Change (AAC) Framework: Diagnose & Envision, Mobilize & Empower, Execute & Learn
  • Module 8 — Build your AI Change Management Plan: roles, metrics, learning cycles

What you'll leave with

  • Define AI-focused change management and the alignment of value, data, people, and governance
  • Identify human responses to AI adoption and the dynamics of trust and commitment
  • Describe and adapt Lewin, Kotter, and ADKAR for fast, iterative, human-centered AI change
  • Formulate an AI Vision Statement using the AI Vision Canvas
  • Implement a communication rhythm that grows awareness and commitment together
  • Evaluate organizational readiness for AI-driven change
  • Design a tailored AI Change Management Plan applying the AAC framework

Audience

  • SME leaders, managers, and HR/people leads guiding teams through AI adoption.
  • Primary resource: Change Management in the Age of AI