Role-Based Programme
RB1534

AI-Powered Project Management

Smarter Planning, Execution, Risk Control & Delivery Performance

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Project Management activities including initiation, planning, scheduling, execution tracking, risk management, stakeholder coordination, and reporting.
  • Use AI-assisted techniques to analyse project requirements, tasks, milestones, dependencies, risks, issues, resources, and performance information more efficiently.
  • Develop structured workflows for project planning, action tracking, change management, escalation, recovery planning, and governance.
  • Improve project visibility through AI-assisted schedule analysis, risk prioritisation, forecasting, dashboards, and management reporting.
  • Apply responsible AI practices covering project-data accuracy, confidentiality, source validation, forecast uncertainty, decision accountability, and human oversight.

Tools covered

Generative AI AssistantsProject Planning SupportSchedule AnalysisRisk & Issue ManagementSpreadsheet AnalysisStakeholder AnalysisDocument IntelligenceProject Performance AnalyticsReporting AssistanceWorkflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of project management, delivery, implementation, or project-coordination activities
  • Familiarity with project plans, schedules, risks, issues, stakeholders, and status reports is helpful
  • Basic spreadsheet and project-tracking skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, document intelligence, and automation in Project Management
  • Identifying AI applications across planning, execution, risk, communication, governance, and reporting
  • Understanding AI assistance versus Project Manager judgement and accountability
  • Recognising risks related to inaccurate project data, unrealistic assumptions, confidentiality, and over-automation
Practical activities
  • Mapping the project lifecycle to AI-assisted activities
  • Identifying repetitive management and coordination tasks suitable for AI support
  • Comparing traditional and AI-assisted Project Management workflows

Scenarios

Project Initiation to Delivery Recovery Plan

Business Objective → AI-Assisted Charter → WBS → Schedule → Resource Plan → RAID Register → Performance Tracking → Delay Detection → Recovery Plan

Participants build a simulated project from initiation through execution, identify emerging delivery concerns, and develop a structured recovery plan with clear owners, priorities, and stakeholder communication.

Project Performance Data to Executive Status Report

Schedule + Milestones + Costs + Risks + Issues + Changes → AI Analysis → Project Health → Variances → Forecast Risks → Priority Actions → Executive Report

Participants consolidate project-performance information, identify significant delivery risks and variances, and prepare an executive-ready project status report with evidence-supported commentary, actions, and decisions.

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