Description
Session 1: Integrating Generative AI Across PRINCE2 Practice
Objectives:
Identify how AI supports each practice in PRINCE2.
Topics:
Business Case
AI-generated benefit analysis
Risk vs value scenario generation
Organization
AI-assisted role mapping and communication plans
Quality
AI to generate or review quality criteria and checklists
Plans
AI-assisted work breakdown structures and milestone planning
Risk
AI to generate risk registers and assess likelihood/impact
Issues
AI-assisted impact analysis and change logs
Progress
AI-generated dashboards, reports, and status summaries
Session 2: AI Applications Across PRINCE2 Processes
Objectives:
Demonstrate where and how AI can automate or augment specific processes.
Topics:
Starting up a Project (SU)
AI-generated project briefs and stakeholder analysis
Initiating a Project (IP)
Creating project initiation documents (PID) with AI support
Directing a Project (DP)
AI-generated decision support summaries and escalation matrices
Controlling a Stage (CS)
AI-generated stage reports and task prioritization
Managing Product Delivery (MP)
Use AI for user stories, acceptance criteria, and communication tracking
Managing a Stage Boundary (SB)
AI-supported stage assessments and exception reporting
Closing a Project (CP)
Lessons learned generation, project evaluation summaries