Role-Based Programme
RB1570

AI for Project & Program Management

Smarter Planning, 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 and Program Management activities including planning, scheduling, risk management, stakeholder coordination, reporting, and governance.
  • Use AI-assisted techniques to analyse project documentation, schedules, dependencies, risks, issues, actions, and performance data more efficiently.
  • Develop structured workflows for project initiation, execution tracking, change management, escalation, and management reporting.
  • Improve project and program visibility through AI-assisted schedule analysis, risk prioritisation, action tracking, and portfolio-level insights.
  • Apply responsible AI practices covering data accuracy, confidentiality, decision support, source validation, governance, and human oversight.

Tools covered

Generative AI AssistantsProject Planning SupportDocument IntelligenceSpreadsheet AnalysisSchedule AnalysisRisk & Issue ManagementStakeholder AnalysisProject ReportingPortfolio AnalyticsWorkflow Automation

Who should attend

  • Project Managers
  • Program Managers
  • Project Management Office Professionals
  • Project Coordinators
  • Program Coordinators
  • Delivery Managers
  • Portfolio Managers
  • Project Analysts
  • PMO Analysts
  • Transformation Managers
  • Implementation Managers
  • Workstream Leads
  • Business Project Managers
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project, program, PMO, implementation, or delivery-management activities
  • Familiarity with project plans, schedules, risks, issues, actions, or status reporting is helpful
  • Basic spreadsheet and document-management skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in project and program delivery
  • Identifying AI applications across planning, scheduling, risk, communication, governance, and reporting
  • Understanding AI assistance versus Project Manager and Program Manager accountability
  • Recognising risks related to incorrect data, unrealistic plans, confidentiality, and unsupported recommendations
Practical activities
  • Mapping the project lifecycle to AI-assisted activities
  • Identifying repetitive project-management tasks suitable for AI support
  • Comparing traditional and AI-assisted project workflows

Scenarios

Project Initiation to Delivery Recovery Plan

Business Objective → AI-Assisted Charter → Work Breakdown Structure → Schedule → Risk Register → Delivery Tracking → Delay Detection → Recovery Plan → Management Update

Participants build a simulated project plan, identify emerging schedule and dependency risks, and use AI-assisted analysis to prepare a structured recovery plan and stakeholder update.

Multi-Project Program to Governance Review

Project Status Reports + Risks + Dependencies + Resources + Milestones → AI Analysis → Cross-Project Issues → Priority Risks → Management Actions → Program Governance Report

Participants consolidate information across multiple projects, identify shared dependencies, delivery bottlenecks, and risk concentrations, and prepare a management-ready program governance report with clear actions and ownership.

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