Role-Based Programme
RB1245

AI for Product & Service Management

Smarter Discovery, Delivery, Customer Experience & Product Decisions

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

Programme Objectives

  • Understand how AI can support Product and Service Management across discovery, planning, delivery, customer experience, analysis, and improvement.
  • Apply AI to analyse customer feedback, market information, product or service performance, requirements, and operational issues.
  • Use AI to improve product briefs, service documentation, prioritisation, stakeholder communication, reporting, and decision preparation.
  • Develop practical skills for opportunity identification, workflow optimisation, performance analysis, customer insight generation, and continuous improvement.
  • Understand responsible AI use, privacy, confidentiality, intellectual property, data quality, bias, and human oversight in product and service decisions.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer Feedback AnalysisMarket & Competitor AnalysisRequirements SupportProduct & Service AnalyticsPrioritisation SupportWorkflow OptimisationKnowledge ManagementReporting & Presentation Tools

Who should attend

  • Product Managers
  • Service Managers
  • Product Owners
  • Product Strategy Professionals
  • Service Delivery Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Product Lifecycle Managers
  • Customer Experience Professionals
  • Product Planning Professionals
  • Service Operations Professionals
  • Product & Service Leaders
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product, service, customer, or business processes
  • Familiarity with customer feedback, requirements, product planning, service delivery, or performance reporting is helpful
  • Basic analytical, communication, and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Product and Service Management
  • Exploring AI support across discovery, planning, delivery, customer experience, and performance analysis
  • Distinguishing AI assistance from analytics, workflow, CRM, product-management, and service-management systems
  • Understanding AI limitations, hallucinations, bias, and decision-making risks
Practical activities
  • Identifying recurring Product and Service Management activities suitable for AI assistance
  • Comparing traditional and AI-assisted workflows
  • Mapping AI opportunities across the product and service lifecycle

Scenarios

Customer Problem to Product/Service Improvement

Customer Feedback → Theme Analysis → Problem Definition → Market / Service Context → Improvement Options → Prioritisation → Delivery Plan → Stakeholder Review

Participants use AI to analyse sample customer feedback, identify a significant product or service problem, evaluate improvement opportunities, and prepare a prioritised action plan for stakeholder review.

Performance Gap to Management Decision

Performance Data → Customer Experience → Issue Analysis → Root-Cause Hypotheses → Improvement Options → Risk & Impact Review → Recommended Actions → Executive Summary

Participants use AI to combine sample product or service performance information with customer insights, identify potential improvement areas, and prepare an evidence-based management recommendation.

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