Leadership Communication Essentials in Human and AI-Driven Workplace training course

AI & Technology Workplace Scenarios

• AI context: Giving meaningful feedback to a developer on the quality of their AI-assisted code — distinguishing AI errors from human errors
• AI context: Addressing declining output quality when a team member has over-relied on AI tools without adequate critical review
• AI context: Delivering feedback on professional conduct when a team member passes off AI-generated work as their own

Module 3:  Build Connection Through Listening and Empathy

• Practise active listening techniques that make people feel genuinely heard and understood
• Demonstrate understanding without losing your authority, direction, or purpose
• Adapt your communication style to the needs, preferences, and emotional state of different team members
• Use empathy as a leadership tool — building connection that increases honesty and psychological safety
• Listen for what is not being said — the concerns beneath the surface that drive behaviour

AI & Technology Workplace Scenarios

• AI context: Listening to understand genuine concerns about AI adoption — distinguishing rational objections from anxiety or resistance
• AI context: Building connection with a team member who feels their professional identity is threatened by AI tool mandates
• AI context: Adapting communication to developers who want technical depth versus non-technical stakeholders who need strategic framing

Module 4:  Develop Skills Through Structured Simulation or Role Play

• Choose between structured role plays with full character briefs or coached scenario simulations
• Practise key leadership conversations in a safe, supportive environment with expert facilitation
• Get direct, actionable feedback from facilitators tailored to your goals and real leadership context
• Work on the specific communication challenges you face — not generic exercises
• Leave with a clear personal development focus and commitment to practise

AI & Technology Workplace Scenarios

• AI context: Scenario: Communicating to a development team that AI coding assistants will become mandatory — managing the Q&A that follows
• AI context: Scenario: Explaining to a high-performing developer that their role is changing as a result of AI capability
• AI context: Scenario: Leading a team meeting where AI monitoring data is discussed for the first time — handling surprise and challenge
• AI context: Scenario: Communicating upward to senior leadership about team resistance to AI adoption — representing your team without undermining the programme