Role-Based Programme
RB1568

AI for Project & Program Management

Smarter Planning, Risk Tracking & Delivery Coordination

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

Programme Objectives

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

Tools covered

Generative AI AssistantsAI-Assisted Project PlanningDocument IntelligenceMeeting SummarisationRisk & Issue TrackingStatus ReportingStakeholder CommunicationBasic Workflow Automation

Who should attend

  • Project Managers
  • Program Managers
  • Project Coordinators
  • PMO Professionals
  • Project Management Officers
  • Program Coordinators
  • Project Analysts
  • Scrum Masters
  • Delivery Managers
  • Transformation Project Professionals
  • Implementation Managers
  • Project Leads
  • Business Project Managers
  • 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 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 and Program Management
  • Identifying AI applications across planning, coordination, reporting, risk management, and stakeholder communication
  • Understanding AI assistance versus Project Manager judgement and accountability
  • Recognising activities where validated project data and human review remain mandatory
Practical activities
  • Mapping common Project and Program Management activities to potential AI applications
  • Comparing a traditional project-management task with an AI-assisted approach

Scenarios

Project Brief to Delivery Plan

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

Participants use AI to convert a sample project brief into a structured delivery plan containing activities, milestones, dependencies, responsibilities, and key planning assumptions.

Project Status to Management Update

Progress Data + Meeting Notes + Risks + Issues → AI Analysis → Actions → Delays / Dependencies → Status Summary → Management Brief

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

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