Role-Based Programme
RB1223

AI for Product Operations

Advanced Product Intelligence, Workflow Optimisation & Operational Excellence

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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 operations, product planning, workflow management, reporting, documentation, release coordination, and operational governance.
  • Use AI-assisted analysis to improve product-data quality, stakeholder visibility, customer-feedback processing, process efficiency, and product-team coordination.
  • Apply AI to streamline product workflows, operational reviews, roadmap tracking, release readiness, documentation, and cross-functional handoffs.
  • Use AI-assisted analytics to strengthen product performance monitoring, decision support, operational consistency, and continuous improvement.
  • Build a scalable and responsible AI-enabled Product Operations model with strong governance, data quality, validation, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchProduct AnalyticsProduct Data AnalysisWorkflow MappingProcess OptimisationRoadmap & Release IntelligenceCustomer Feedback AnalysisProduct DocumentationKPI DashboardsCross-Functional CoordinationWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Operations Managers
  • Product Operations Specialists
  • Product Operations Analysts
  • Product Managers
  • Product Owners
  • Product Analysts
  • Product Programme Managers
  • Product Coordinators
  • Product Enablement Professionals
  • Product Planning Professionals
  • Digital Product Operations Professionals
  • Product Data & Insights Professionals
  • Product Portfolio Operations Professionals
  • Cross-Functional Product Operations Professionals
  • Leaders Responsible for Product Operational Excellence

Prerequisites & Participant Readiness

  • Experience in product operations, product management, product ownership, programme management, or product analytics
  • Familiarity with product roadmaps, releases, product metrics, documentation, and cross-functional workflows
  • Basic awareness of Generative AI and common business applications
  • Comfort working with product, customer, operational, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, automation, and AI agents
  • Exploring AI applications across product workflows, reporting, planning, documentation, and coordination
  • Distinguishing AI-assisted Product Operations from traditional process automation
  • Understanding hallucinations, data-quality risks, privacy, and human accountability
Practical activities
  • Mapping AI opportunities across the Product Operations lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Product Operations teams

Scenarios

Fragmented Product Processes to Scalable Product Operations

Current Workflows → Process Gaps → Product Data → Ownership → Roadmap Visibility → Release Coordination → Reporting → Future-State Operating Model

Participants use AI to analyse fragmented Product Operations practices, identify workflow and governance gaps, improve coordination, and design a scalable operating model.

Limited Product Visibility to Decision-Ready Product Intelligence

Product Data → Customer Feedback → Roadmap → Backlog → Release Status → Performance Metrics → Executive Dashboard → Action Plan

Participants use AI to consolidate fragmented product information, identify delivery and performance issues, create management-ready reporting, and establish an operational framework for better product decisions.

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