Building a Culture of AI Innovation

Create a work environment that supports experimentation and learning with GenAI tools.

Pillar

People – Mindset, Leadership & Change

Overview

This course guides leaders and managers on fostering a workplace culture that encourages creativity, experimentation, and continuous learning using Generative AI technologies. Participants will learn how to break down barriers to innovation and empower teams to embrace AI-driven change.

Learning Objectives

Participants will be able to:

• Understand the elements of a culture that supports AI innovation

• Promote experimentation and safe failure with GenAI tools

• Encourage knowledge sharing and collaboration around AI

• Develop strategies to overcome resistance and build trust

• Integrate AI learning into daily workflows and team dynamics

Target Audience

• Team leaders and managers

• Innovation and change management professionals

• HR and organizational development specialists

• AI champions and transformation agents

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive workshops with group activities

• Case studies on AI-driven innovation cultures

• Role-playing and scenario-based exercises

Materials Provided

• Culture-building frameworks and toolkits

• GenAI experimentation guides

• Workshop workbook

• Case study summaries

• Certificate of completion

Outcomes

• Foster an innovative and AI-ready workplace culture

• Enable teams to experiment with and adopt GenAI tools

• Reduce fear and resistance related to AI implementation

• Create ongoing learning opportunities tied to AI advancements

Outline / Content

Day 1: Foundations of AI Innovation Culture

• Defining innovation culture in the AI context

• Barriers and enablers for AI adoption

• Case examples of innovative AI workplaces

Day 2: Encouraging Experimentation and Learning

• Building safe spaces for trial and error

• Methods to support continuous AI learning

• Tools and practices for collaborative AI use

Day 3: Overcoming Resistance and Building Trust

• Addressing fears and misconceptions about AI

• Communication strategies for transparency

• Leadership’s role in culture change

Day 4: Sustaining and Scaling AI Innovation

• Integrating AI into everyday work processes

• Measuring cultural readiness and innovation success

• Planning for ongoing AI-driven growth