Role-Based Programme
RB1569

AI for Project & Program Management

Smarter Planning, Risk Control, Reporting & Delivery

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Project and Program Management across planning, scheduling, risk management, stakeholder communication, reporting, and governance.
  • Apply AI-assisted techniques to develop project plans, work breakdown structures, action trackers, risk registers, and status reports.
  • Use structured prompting for scope definition, milestone planning, dependency analysis, issue management, and executive communication.
  • Explore AI-supported approaches for analysing project data, identifying delays, risks, resource concerns, and delivery bottlenecks.
  • Build responsible AI-assisted project workflows while maintaining governance, accountability, data accuracy, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisProject Planning AIRisk & Issue AnalysisMeeting & Reporting AIWorkflow Automation

Who should attend

  • Project Managers
  • Program Managers
  • Project Coordinators
  • Program Coordinators
  • PMO Professionals
  • Project Management Officers
  • Project Leads
  • Delivery Managers
  • Implementation Managers
  • Project Analysts
  • Transformation Project Professionals
  • Portfolio Management Professionals
  • Scrum Masters
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Project or Program Management activities
  • Familiarity with project plans, milestones, risks, issues, meetings, or status reporting is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to project and program delivery
  • Identifying AI applications across planning, scheduling, communication, risk management, and reporting
  • Understanding AI assistance versus Project Manager and Program Manager judgement
  • Recognising limitations such as incomplete context, incorrect assumptions, and unsupported recommendations
Practical activities
  • Mapping a typical project lifecycle
  • Identifying repetitive and information-intensive PM activities suitable for AI assistance
  • Comparing a traditional project-management task with an AI-assisted approach

Scenarios

Project Brief to Delivery Plan

Project Brief → AI-Assisted Scope Definition → Deliverables → WBS → Milestones → Dependencies → Risks → Project Plan

Participants use AI to convert a sample project brief into a structured delivery plan including scope, milestones, dependencies, risks, and key actions.

Project Status Data to Executive Review

Milestones + Risks + Issues + Actions + Dependencies → AI Analysis → Delays → Priority Risks → Decisions Required → Executive Status Report

Participants use AI to analyse sample project-status information, identify delivery concerns, and prepare a concise management-ready project or program review.

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