Day 1: Understanding Digital Transformation, AI, and Responsible Use

Core Digital Transformation Concepts

• Distinguish digitization automation transformation
• Recognize digital impact on operations
• Align technology with user value
• Identify workplace transformation example

AI Concepts and Capabilities

• Explain pattern learning from data
• Compare generative predictive classification uses
• Identify tasks needing human judgment
• Identify situations unsuitable for AI

Responsible Use and Human Oversight

• Identify decisions requiring human oversight
• Require human review before decisions
• Address risks from automated reliance
• Document human review responsibilities

Day 2: Applying Digital Improvement and Everyday AI

Digital Process Improvement

• Map process from request completion
• Identify delays duplication manual work
• Choose digital improvement with value
• Define post-improvement process measures

Practical AI Use Cases

• Separate attractive ideas from needs
• Define target decision or task
• Assess data effort implementation complexity
• Prioritize use-cases for responsible testing

Personal Digital and AI Action Plan

• Build personal digital action roadmap
• Prioritize actions by value feasibility
• Identify dependencies requiring early resolution
• Set measures tracking personal progress

• Realistic scenarios requiring participants to interpret digital transformation concepts
• Tool-based practice focused on responsible use and human oversight using representative inputs
• Decision exercises connecting practical AI use cases with operational constraints
• An integrated project producing a personal digital and AI action plan with practical next steps