Role-Based Programme
RB1532

AI-Powered Project Management

Smarter Planning, Risk Management & Project Delivery

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Project Managers across planning, execution, risk management, stakeholder communication, and reporting.
  • Explore practical prompting techniques for project plans, meeting summaries, risk registers, status updates, and management communication.
  • Apply AI to organise project information, identify dependencies, structure actions, and prepare project-management outputs.
  • Identify opportunities to improve planning efficiency, project visibility, communication quality, and delivery coordination.
  • Recognise confidentiality, project-data accuracy, governance, commitments, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Project PlanningRisk & Issue TrackingMeeting SummarisationProject DocumentationStakeholder CommunicationStatus ReportingBasic Workflow Automation

Who should attend

  • Project Managers
  • Senior Project Managers
  • Technical Project Managers
  • Business Project Managers
  • Implementation Project Managers
  • Transformation Project Managers
  • Project Leads
  • Delivery Managers
  • PMO Professionals
  • Project Coordinators
  • Program Coordinators
  • Project Analysts
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of project-management activities
  • Familiarity with project plans, milestones, risks, issues, meetings, or stakeholder reporting is helpful
  • Basic computer and office-productivity skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Project Management
  • Identifying AI applications across planning, execution, monitoring, communication, and reporting
  • Understanding AI assistance versus Project Manager judgement and accountability
  • Recognising activities where validated project information and human oversight remain essential
Practical activities
  • Mapping common Project Manager activities to potential AI applications
  • Comparing a traditional project-management task with an AI-assisted approach

Scenarios

Project Brief to Execution Plan

Project Brief → AI-Assisted Scope Breakdown → Activities → Milestones → Dependencies → Risks → Owners → Execution Plan

Participants use AI to convert a sample project brief into a structured execution plan covering activities, milestones, dependencies, risks, responsibilities, and key assumptions.

Project Progress to Management Status Report

Progress Updates + Meeting Notes + Risks + Issues + Changes → AI Consolidation → Status → Priorities → Actions → Management Report

Participants use AI to consolidate sample project information into a concise management-ready status report highlighting progress, risks, issues, changes, dependencies, and next actions.

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