Role-Based Programme
RB1247

AI for Product & Service Management

Advanced Product Intelligence, Service Innovation & AI-Driven Growth

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

Programme Objectives

  • Develop advanced capability to apply AI across the complete Product and Service Management lifecycle, from customer discovery and strategy to delivery, performance, optimisation, and lifecycle decisions.
  • Use AI-assisted research and analytics to understand customer needs, market opportunities, competitor activity, product usage, service performance, and emerging risks.
  • Apply AI to requirements, prioritisation, roadmaps, service design, product operations, customer experience, experimentation, and portfolio decisions.
  • Use AI-assisted insights to improve product adoption, service quality, customer value, operational efficiency, innovation, and commercial performance.
  • Build an integrated and responsible AI-enabled Product / Service Management operating model with strong governance, validation, privacy, and human oversight.

Tools covered

Generative AI AssistantsAI Search & Deep ResearchCustomer ResearchMarket & Competitive IntelligenceProduct AnalyticsService AnalyticsRequirements AnalysisProduct DiscoveryRoadmap IntelligenceCustomer Journey AnalysisService Performance IntelligenceExperimentation SupportWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Managers
  • Senior Product Managers
  • Product Owners
  • Product Strategy Professionals
  • Product Operations Professionals
  • Product Analysts
  • Service Managers
  • Service Delivery Managers
  • Service Owners
  • Product & Business Analysts
  • UX/UI & Product Design Professionals
  • Product Analytics Professionals
  • Portfolio Managers
  • Digital Product & Service Professionals
  • Leaders Responsible for Product / Service Management

Prerequisites & Participant Readiness

  • Experience in product management, service management, product ownership, product operations, business analysis, or service delivery
  • Familiarity with customer needs, requirements, roadmaps, service processes, product metrics, and performance reviews
  • Basic awareness of Generative AI and common business applications
  • Comfort working with customer, product, service, market, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across product strategy, service delivery, customer experience, analytics, and operations
  • Distinguishing AI-assisted management from autonomous product and service decision-making
  • Understanding hallucinations, weak evidence, privacy, bias, and human accountability
Practical activities
  • Mapping AI opportunities across Product and Service Management lifecycles
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Product / Service Management teams

Scenarios

Customer Need to Integrated Product & Service Solution

Market Intelligence → Customer Research → Problem Definition → Product Requirements → Service Design → Prioritisation → Roadmap → Delivery Plan → Success Metrics

Participants use AI to transform a customer need into an integrated product and service proposition, define requirements, design the supporting service experience, prioritise work, and create a measurable delivery roadmap.

Underperforming Product / Service Portfolio to Transformation Roadmap

Portfolio Performance → Customer Feedback → Product Usage → Service Quality → Root Causes → Strategic Options → Investment Priorities → Automation → Transformation Roadmap

Participants use AI to diagnose an underperforming Product / Service portfolio, identify customer and operational gaps, evaluate strategic options, prioritise investments, and create a measurable AI-enabled transformation roadmap.

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