Role-Based Programme
RB1533

AI-Powered Project Management

Smarter Planning, Risk Control & Project Delivery

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

Programme Objectives

  • Understand how AI can support Project Managers across initiation, planning, execution, monitoring, risk management, stakeholder communication, and reporting.
  • Apply AI-assisted techniques to build project plans, structure work, track milestones, analyse risks, and manage actions.
  • Use structured prompting for scope definition, scheduling, RAID management, stakeholder updates, and executive reporting.
  • Explore AI-supported approaches for identifying delays, dependency risks, delivery bottlenecks, and corrective-action needs.
  • Build responsible AI-assisted project workflows while maintaining governance, accountability, data accuracy, and human judgement.

Tools covered

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

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of project-management concepts
  • Familiarity with project plans, milestones, risks, issues, meetings, and 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 management
  • Identifying AI applications across initiation, planning, execution, monitoring, and closure
  • Understanding AI assistance versus Project Manager judgement and accountability
  • Recognising limitations such as incomplete context, incorrect assumptions, and unsupported recommendations
Practical activities
  • Mapping a typical project-management 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 Executable Project 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 project plan including scope, deliverables, milestones, dependencies, and risks.

Project Status to Management Decision

Progress Data + Risks + Issues + Actions + Dependencies → AI Analysis → Delivery Concerns → Corrective Actions → Decisions Required → Executive Status Report

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

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.