Role-Based Programme
RB1244

AI for Product & Service Management

Smarter Product Decisions, Customer Insights & Service Performance

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

Programme Objectives

  • Understand how AI can support Product and Service Management across research, planning, customer insights, performance analysis, and operational decision-making.
  • Explore practical AI applications for analysing customer needs, product opportunities, service issues, requirements, and performance information.
  • Apply structured prompting techniques to generate insights, clarify requirements, compare options, and create product or service recommendations.
  • Use AI to improve productivity across product planning, service reviews, documentation, reporting, and stakeholder communication.
  • Recognise customer privacy, confidentiality, data quality, intellectual property, bias, and human-review requirements when using AI in Product and Service Management.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer Feedback AnalysisProduct & Service ResearchRequirement AnalysisProduct Performance AnalysisService Performance AnalysisWorkflow OptimizationAI-Powered Documentation & Communication Tools

Who should attend

  • Product Managers
  • Service Managers
  • Product Owners
  • Service Delivery Managers
  • Product Analysts
  • Business Analysts
  • Product Operations Professionals
  • Service Operations Professionals
  • Product Strategy Professionals
  • Customer Experience Professionals
  • Product Data & Analytics Professionals
  • Product Lifecycle Managers
  • Service Quality Professionals
  • Product / Service Portfolio Managers
  • Product & Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of products, services, customers, or business processes
  • Familiarity with product planning, service delivery, customer feedback, or performance reporting is helpful
  • Basic analytical, communication, and documentation skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding AI and Generative AI in the context of Product and Service Management
  • Exploring AI applications across research, planning, customer insights, performance, and operations
  • Understanding the difference between AI assistance, automation, analytics, and managerial judgement
  • Recognising AI limitations, hallucinations, incomplete context, and unsupported recommendations
Practical activities
  • Identifying high-value AI applications across product and service workflows
  • Comparing a traditional product or service task with an AI-assisted approach

Scenarios

Customer Need to Product / Service Improvement

Customer Feedback → AI-Assisted Analysis → Needs & Pain Points → Product / Service Gaps → Improvement Options → Prioritization → Recommendation

Participants use AI to analyse sample customer feedback, identify recurring needs and gaps, and prepare a structured product or service improvement recommendation for stakeholder review.

Performance Data to Management Action Plan

Product & Service Metrics → AI-Assisted Analysis → Trends & Gaps → Risks → Improvement Opportunities → Priority Actions → Management Summary

Participants use AI to review sample product and service performance information, identify key issues and opportunities, and prepare a concise management action plan.

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