AI Readiness Assessment & Change Management

Duration 4 hours
Level Foundation
Focus Areas
Vendor
Learning Track

Enterprise Platforms & AI Architecture

Part of the Enterprise Platforms & AI Architecture track, built for IT leaders, architects, and technical teams standing up Microsoft platforms, data models, and AI governance across the business.

View the full Enterprise Platforms & AI Architecture track →

Overview & Learning Objectives

Tackles the human side of AI adoption, trust, verification habits, psychological safety, and sends team leaders home with an AI Working Agreement and a 30-day rollout plan.

By the end of this training, participants will be able to:

  • Establish explicit use-case boundaries defining when teams should and should not use AI.
  • Enforce output verification standards to catch hallucinations before outputs reach clients.
  • Draft a live, auditable Team AI Working Agreement covering accountability and sign-offs.
  • Execute lightweight incident response procedures for AI mistakes and manage team trust.

Target Audience

  • Team leaders, middle managers, and department heads
  • Project managers, HR business partners, and digital transformation leads

Prerequisites

  • General workplace management experience (email, document review, team meetings)
  • No prior technical or AI knowledge required

Technical Requirements

  • Laptop with web browser. Access to preferred organization AI tools (ChatGPT, Microsoft Copilot, Claude) if available.

Format & Customization Options

Format of the Course

  • Interactive lecture and facilitated scenario discussions.
  • Live workshop building your team's custom AI Working Agreement.

Course Customization Options

  • Custom corporate governance templates and industry compliance modules available upon request.

AI Readiness Assessment & Change Management - Inquiry

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