إدارة التغيير التنظيمي من أجل التحول إلى الذكاء الاصطناعي

Drive adoption and reduce resistance to AI across teams and departments.

عمود

الناس – العقلية والقيادة والتغيير

ملخص

This course provides leaders and change agents with proven strategies to manage the human side of Generative AI transformation. It covers how to build trust, engage stakeholders, and guide employees through the uncertainty of AI-driven change—ensuring smooth, sustainable adoption across the organization.

أهداف التعلم

سيكون المشاركون قادرين على:

• Understand the human impact of AI transformation

• Identify sources of resistance and how to address them

• Apply change management models tailored for GenAI adoption

• Engage stakeholders and build AI champions within teams

• Design a communication and enablement strategy for AI rollout

الجمهور المستهدف

• Change managers and transformation leaders

• HR, L&D, and internal communications professionals

• Department heads implementing GenAI solutions

• AI program managers and consultants

مدة

20 ساعة على مدار 4 أيام (5 ساعات يوميًا)

تنسيق التسليم

• Interactive workshops with real-life case scenarios

• Change readiness assessments and planning tools

• Group simulations and role-play exercises

المواد المقدمة

• AI Change Management Toolkit

• Stakeholder engagement plan template

• Communication guide for GenAI adoption

• شهادة إتمام

النتائج

• Create a human-centered roadmap for GenAI adoption

• Minimize resistance and maximize employee buy-in

• Empower leaders to champion AI-led change

• Integrate AI change management into broader transformation plans

المخطط / المحتوى

Day 1: Understanding AI Change Dynamics

• The psychological impact of AI at work

• Why AI adoption fails: human factors and blind spots

• Introduction to change management principles

Day 2: Planning for AI-Driven Change

• Assessing readiness and identifying resistance

• Building a stakeholder map for GenAI transformation

• Communicating with clarity and empathy

Day 3: Driving Engagement and Adoption

• Coaching leaders to model GenAI use

• Creating safe spaces for experimentation and feedback

• Training and support plans for sustained learning

Day 4: Sustaining Change Over Time

• Reinforcement strategies and measuring adoption

• Institutionalizing GenAI through communities of practice

• Capturing lessons learned and scaling success