Role-Based Programme
RB1099

AI for Business Analysis

Advanced Requirements, Process Intelligence & Decision Support

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

Programme Objectives

  • Develop advanced capability to apply AI across requirements discovery, process analysis, stakeholder analysis, business problem-solving, and decision support.
  • Use AI-assisted techniques to analyse documents, identify gaps, structure requirements, compare alternatives, and uncover business insights.
  • Apply AI to process mapping, root cause analysis, impact assessment, prioritisation, business case development, and solution evaluation.
  • Improve the quality, speed, and consistency of business analysis while maintaining evidence, traceability, validation, and stakeholder accountability.
  • Build an AI-enabled Business Analysis workflow that supports better requirements, stronger decisions, and measurable business outcomes.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceRequirements AnalysisProcess AnalysisData AnalysisRoot Cause AnalysisStakeholder AnalysisScenario ModellingDecision-Support ToolsWorkflow AutomationKnowledge Assistants

Who should attend

  • Business Analysts
  • Senior Business Analysts
  • Lead Business Analysts
  • Business Systems Analysts
  • Functional Analysts
  • Process Analysts
  • Strategy Analysts
  • Business Process Professionals
  • Transformation Analysts
  • Product Analysts
  • Project Business Analysts
  • Requirements Analysts
  • Business Architecture Professionals
  • Consultants
  • Professionals Responsible for Business Requirements & Process Improvement

Prerequisites & Participant Readiness

  • Experience in business analysis, process improvement, projects, transformation, or business operations
  • Familiarity with requirements gathering, stakeholder discussions, process documentation, or business cases
  • Basic awareness of Generative AI and business applications
  • Comfort working with business documents, data, and structured analysis
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, document intelligence, and AI-assisted analysis
  • Exploring AI applications across requirements, processes, data, stakeholders, and decision support
  • Distinguishing AI-assisted analysis from traditional business analysis methods
  • Understanding hallucinations, incomplete context, bias, and human accountability
Practical activities
  • Mapping AI opportunities across the Business Analysis lifecycle
  • Identifying analysis activities suitable for augmentation or automation
  • Creating an AI opportunity map for Business Analysts

Scenarios

Business Problem to Solution Recommendation

Business Problem → Stakeholder Analysis → Requirements Discovery → As-Is Process → Root Cause Analysis → Gap Analysis → Solution Options → Prioritisation → Recommendation

Participants use AI to analyse a complex business problem, identify stakeholder needs, structure requirements, assess current processes, evaluate alternatives, and prepare a solution recommendation.

Legacy Process Transformation

Current Process → Pain Points → Data & Evidence → Requirements → Future-State Process → Impact Assessment → Business Case → Implementation Recommendation

Participants use AI to assess a legacy process, identify inefficiencies, design a future-state model, evaluate business impact, and prepare a transformation business case for management review.

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