Role-Based Programme
RB1222

AI for Product Operations

Workflow Intelligence, Product Analytics & Operational Excellence

IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for product operations, workflow coordination, product analytics, documentation, and operational efficiency.
  • Apply AI to analyse product processes, customer feedback, operational data, release activities, stakeholder inputs, and recurring bottlenecks.
  • Use AI to strengthen reporting, roadmap coordination, product documentation, meeting follow-up, release readiness, and knowledge management.
  • Improve Product Operations effectiveness through structured process analysis, data quality, workflow optimisation, and decision support.
  • Apply responsible AI practices related to customer data, confidentiality, documentation accuracy, access control, bias, and human oversight.

Tools covered

Generative AI AssistantsProduct AnalyticsWorkflow AnalysisProduct Data AnalysisCustomer Feedback AnalysisDocumentation SupportRoadmap CoordinationProcess Automation ConceptsRelease OperationsKnowledge ManagementReporting & DashboardsExecutive Summarisation

Who should attend

  • Product Operations Managers
  • Product Operations Specialists
  • Product Operations Analysts
  • Product Managers
  • Product Owners
  • Product Analysts
  • Product Coordinators
  • Product Programme Managers
  • Product Strategy Professionals
  • Business Analysts
  • Product Data Analysts
  • Release Management Professionals
  • Product Enablement Professionals
  • Product Management Office Professionals
  • Product & Service Management Leaders

Prerequisites & Participant Readiness

  • Experience in product operations, product management, product analysis, programme coordination, or business operations
  • Familiarity with product roadmaps, product data, stakeholder coordination, and operational workflows
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret product and operational information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across product workflows, analytics, documentation, and coordination
  • Understanding how AI differs from product-management, workflow, analytics, and collaboration platforms
  • Recognising hallucinations, incomplete analysis, and AI limitations
Practical activities
  • Mapping Product Operations activities to practical AI applications
  • Identifying high-value versus low-value operational use cases
  • Comparing traditional and AI-assisted Product Operations workflows

Scenarios

Fragmented Product Workflow to Operational Excellence

Current Workflow → Bottleneck Analysis → Ownership Gaps → Data Issues → Dependency Mapping → Process Redesign → Governance → Operating Model

Participants use AI to analyse a fragmented product operating process, identify bottlenecks and ownership gaps, and develop a more efficient and governed Product Operations model.

Product Performance to Cross-Functional Action Plan

Product Data → Customer Feedback → Performance Gaps → Roadmap Impact → Stakeholder Coordination → Release Priorities → Action Tracking → Executive Review

Participants use AI to combine product analytics and customer feedback, identify operational priorities, coordinate cross-functional actions, and create a management-ready Product Operations plan.

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