Role-Based Programme
RB1217

AI for Product & Business Analysis

Smarter Requirements, Process Insights & Product Decisions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Product and Business Analysis across discovery, requirements, process analysis, problem solving, and decision support.
  • Apply AI to analyse stakeholder needs, customer feedback, business processes, product information, and operational data.
  • Use AI to improve requirements documentation, gap analysis, process mapping, prioritisation, and business-case preparation.
  • Develop practical skills for root-cause exploration, stakeholder communication, solution evaluation, and management reporting.
  • Understand responsible AI use, confidentiality, data accuracy, bias, source validation, and human oversight in product and business analysis.

Tools covered

Generative AI AssistantsAI Search & ResearchRequirements AnalysisCustomer & Stakeholder Feedback AnalysisProcess Mapping SupportGap AnalysisData InterpretationPrioritisation SupportBusiness Case DevelopmentReporting & Presentation Tools

Who should attend

  • Business Analysts
  • Product Analysts
  • Product Business Analysts
  • Senior Business Analysts
  • Product Managers
  • Product Owners
  • Business Systems Analysts
  • Process Analysts
  • Functional Analysts
  • Requirements Analysts
  • Product Operations Professionals
  • Digital Transformation Analysts
  • Project & Programme Analysts
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of business processes, products, services, or requirements
  • Familiarity with stakeholder discussions, process documentation, or business analysis 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 Business Analysis
  • Exploring AI support across discovery, requirements, process analysis, documentation, and decision support
  • Distinguishing AI assistance from business intelligence, process tools, analytics, and workflow platforms
  • Understanding AI limitations, hallucinations, bias, and analysis-related risks
Practical activities
  • Identifying recurring Product and Business Analysis activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to an analysis task
  • Mapping AI opportunities across the analysis lifecycle

Scenarios

Stakeholder Problem to Validated Requirement

Stakeholder Input → Problem Clarification → Evidence Review → Requirement Analysis → Gap Identification → User Story / Business Requirement → Acceptance Criteria → Stakeholder Validation

Participants use AI to analyse a sample stakeholder request, separate the underlying business problem from the proposed solution, and develop a structured set of validated requirements.

Process Issue to Business Improvement Recommendation

Current Process → Performance Data → Bottlenecks → Root-Cause Hypotheses → Improvement Options → Prioritisation → Business Case → Management Recommendation

Participants use AI to analyse a sample business process, identify gaps and potential causes, compare improvement options, and prepare an evidence-based recommendation for management review.

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