One-on-One Training: Using AI in Project Management

Most project managers AI on an ad hoc basis—a prompt here, a question there. This one-on-one training takes it a crucial step further: You’ll learn to use AI as a systematic tool in your project work. During a preliminary consultation, we’ll work together to analyze your challenges and projects. Building on this, you’ll develop ready-to-use, reusable skill documents during one-on-one training for the exact tasks that cost you the most time and frustration in your day-to-day project work. You’ll develop these using the 4D AI Fluency Framework, a standardized competency model from Anthropic, one of the world’s leading AI providers.  
Your skills work across platforms—including ChatGPT, Claude, Copilot, and others—are ready to use immediately, and can be colleagues directly with your colleagues . 

Preliminary Interview – Your PM Assessment (approx. 15 minutes) 

• Analyze your current PM challenges and projects.
• Identify key pain points throughout the project lifecycle.
• Prioritize training modules individually.

Methodological Foundations (covered in greater depth as needed) 

• AI as a systematic tool in project management.  
• From isolated applications to systematic AI deployment: What makes the difference. 
• An Overview of the AI Landscape: Prompts, Skills, Agents—When to Use Which.
• Skill Architecture: Role, Context, Task, Rules, Output Format, and Examples—platform-independent, reusable, and shareable. 
• The 4D AI Fluency Framework as a model for thinking and acting: Delegation, Description, Discernment, Diligence—applied to your project management context.

PM Application Areas (tailored to your specific challenges) 

• Project Launch and Planning: Project Charter, Project Structure Plan, Schedule, and Documentation. 
• Communication and stakeholder management: status reports, emails, meetings, minutes. 
• Risk Management and Project Management: Identifying risks, developing scenarios, and preparing decision-making documents and management reports. 
• Reporting and Tracking: Management summaries, progress monitoring, data-driven analyses, and visualizations. 
• For each selected application area, you will develop a specific, fully functional skill tailored to your project that is ready to use right away. 

Transfer and Next Steps 

• Share skills within the team and scale AI expertise across the company.
• Your personal AI plan: develop additional skills on your own. 
• Responsible Use of AI: Quality Assurance and Understanding Its Limits.