Role-Based Programme
RB1215

AI for Product Ownership

Advanced Backlog Intelligence, Agile Prioritisation & Product Delivery

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across product ownership, backlog management, requirements clarification, prioritisation, sprint planning, release preparation, and stakeholder coordination.
  • Use AI-assisted analysis to convert customer, business, and stakeholder needs into clear, structured, and testable product requirements.
  • Apply AI to improve user stories, acceptance criteria, backlog quality, refinement, prioritisation, dependency analysis, and delivery readiness.
  • Use AI-assisted insights to strengthen sprint decisions, release planning, stakeholder communication, product outcomes, and continuous improvement.
  • Build responsible AI-enabled Product Ownership workflows with appropriate validation, governance, data protection, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchRequirements AnalysisUser Story DevelopmentAcceptance Criteria GenerationBacklog IntelligencePrioritisation FrameworksSprint Planning SupportStakeholder AnalysisAgile Delivery IntelligenceProduct AnalyticsRelease PlanningWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Owners
  • Senior Product Owners
  • Digital Product Owners
  • Technical Product Owners
  • Platform Product Owners
  • Service Product Owners
  • Agile Product Owners
  • Product Managers Performing Product Owner Responsibilities
  • Business Analysts Supporting Agile Product Teams
  • Scrum Team Members Supporting Backlog Management
  • Product Operations Professionals
  • Delivery Managers Working with Product Teams
  • Agile Business Analysts
  • Product Leads
  • Leaders Responsible for Agile Product Delivery

Prerequisites & Participant Readiness

  • Experience in product ownership, product management, business analysis, Agile delivery, or digital product development
  • Familiarity with product backlogs, user stories, acceptance criteria, sprint planning, and stakeholder requirements
  • Basic awareness of Generative AI and common business applications
  • Comfort working with customer, business, product, and delivery information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, automation, and AI agents
  • Exploring AI applications across discovery, backlog management, refinement, planning, and delivery
  • Distinguishing AI-assisted Product Ownership from automated decision-making
  • Understanding hallucinations, incomplete context, bias, and human accountability
Practical activities
  • Mapping AI opportunities across the Product Ownership lifecycle
  • Identifying activities suitable for augmentation, automation, or human ownership
  • Creating an AI opportunity map for Product Owners

Scenarios

Customer Requirement to Sprint-Ready Backlog

Customer Need → Requirement Analysis → User Stories → Acceptance Criteria → Dependencies → Prioritisation → Refinement → Sprint Readiness

Participants use AI to transform unstructured customer and stakeholder requirements into a clear, prioritised, and sprint-ready product backlog.

Overloaded Backlog to Outcome-Focused Product Delivery

Backlog Audit → Duplicate & Low-Value Work → Product Goals → Value Analysis → Dependencies → Reprioritisation → Release Plan → Product Metrics

Participants use AI to diagnose an overloaded and poorly prioritised backlog, align work with product outcomes, remove low-value items, and create a structured delivery and release plan.

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