• Quick poll: “Have you used AI tools at work before?”
• Setting expectations and relevance to participants’ roles

• What AI is (and what it is not)
• Why AI is becoming part of daily work—not just IT
• Common myths and misunderstandings

Key message: AI supports judgment—it does not replace responsibility.

Employee-focused examples:

• Drafting and improving emails and reports
• Summarizing documents and meeting notes
• Structuring presentations and action plans

Manager-focused examples:

• Preparing performance feedback drafts
• Structuring team plans and priorities
• Supporting decision preparation (not decision-making)

Key message: AI supports productivity and quality—final accountability remains human.

• Data confidentiality and sensitive information
• What should never be shared with AI tools
• Understanding organizational boundaries
• Risks of over-reliance and blind trust

Key message: Responsible use protects both the employee and the organization.

• How managers should guide AI use in teams
• What to encourage vs. what to restrict
• Setting expectations for quality, review, and accountability

Key message: Managers don’t need to be AI experts—but they must be responsible leaders.

• Live questions from participants
• Key takeaways summary
• Final poll: “After this session, how confident are you about using AI responsibly at work?”