Role-Based Programme
RB1548

AI-Powered Agile Project Management

Smarter Planning, Delivery Tracking & Stakeholder Coordination

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

Programme Objectives

  • Understand how AI can support Agile Project Managers across planning, iteration management, stakeholder coordination, risk tracking, and reporting.
  • Explore practical prompting techniques for sprint preparation, backlog reviews, delivery updates, risk analysis, and stakeholder communication.
  • Apply AI to organise Agile project information, identify dependencies, structure actions, and prepare management-ready outputs.
  • Identify opportunities to improve delivery visibility, coordination efficiency, meeting productivity, and continuous improvement.
  • Recognise team confidentiality, data accuracy, Agile principles, governance requirements, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Agile PlanningBacklog & Sprint SupportRisk & Issue TrackingMeeting SummarisationStakeholder CommunicationAgile ReportingBasic Workflow Automation

Who should attend

  • Agile Project Managers
  • Project Managers
  • Agile Delivery Managers
  • Scrum Masters
  • Delivery Leads
  • Program Coordinators
  • Project Coordinators
  • PMO Professionals
  • Agile Coaches
  • Iteration Managers
  • Transformation Project Professionals
  • Implementation Managers
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Agile, Scrum, or project-management activities
  • Familiarity with sprints, backlogs, milestones, risks, issues, 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 Agile Project Management
  • Identifying AI applications across planning, delivery tracking, meetings, reporting, and stakeholder coordination
  • Understanding AI assistance versus Agile Project Manager judgement and accountability
  • Recognising activities where team context, governance, and human validation remain essential
Practical activities
  • Mapping common Agile Project Manager activities to potential AI applications
  • Comparing a traditional Agile project-management task with an AI-assisted approach

Scenarios

Agile Project Brief to Iteration Plan

Project Brief → AI-Assisted Backlog Structuring → Sprint Priorities → Dependencies → Risks → Delivery Plan

Participants use AI to convert a sample Agile project brief into a structured iteration plan covering priorities, dependencies, responsibilities, and delivery risks.

Sprint Progress to Stakeholder Update

Sprint Data + Risks + Issues + Meeting Notes → AI Consolidation → Progress → Blockers → Actions → Stakeholder Summary

Participants use AI to consolidate sample Agile delivery information into a concise stakeholder update highlighting progress, blockers, decisions, and next actions.

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