Role-Based Programme
RB1547

AI-Powered Business Analysis

Intelligent Requirements, Process Discovery & Stakeholder 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 business analysis, requirements discovery, process analysis, stakeholder engagement, solution evaluation, and project delivery.
  • Use AI to analyse business documents, meeting notes, requirements, process maps, customer feedback, operational data, risks, and project information.
  • Build repeatable AI-assisted workflows for elicitation, requirements documentation, gap analysis, process improvement, traceability, and stakeholder reporting.
  • Apply AI to identify ambiguous requirements, process inefficiencies, conflicting stakeholder needs, dependency risks, and business improvement opportunities.
  • Design responsible AI-enabled Business Analysis workflows with appropriate controls for accuracy, traceability, confidentiality, stakeholder validation, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisProcess Mapping AIRequirements Analysis ToolsMeeting & Communication AIBusiness Analysis AnalyticsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Business Analysts
  • Senior Business Analysts
  • Business Systems Analysts
  • Functional Business Analysts
  • Process Business Analysts
  • Project Business Analysts
  • Requirements Analysts
  • Business Process Analysts
  • Transformation Analysts
  • Product Analysts
  • PMO Analysts
  • Project Analysts
  • Digital Transformation Professionals
  • Business Process Improvement Professionals
  • Business Analysis Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of business analysis, project delivery, process improvement, requirements management, or transformation initiatives
  • Familiarity with stakeholder interviews, requirements documents, process maps, business cases, and project documentation
  • Basic proficiency with spreadsheets, documents, presentations, collaboration tools, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and workflow automation
  • Mapping AI opportunities across the Business Analysis lifecycle
  • Understanding AI assistance versus accountable stakeholder and business decisions
  • Recognising hallucination, confidentiality, bias, and incomplete-context risks
Practical activities
  • Mapping an existing Business Analyst workflow
  • Comparing manual and AI-assisted Business Analysis activities
  • Creating a Business Analysis AI opportunity matrix

Scenarios

Business Problem to Approved Requirements

Business Problem → Stakeholder Analysis → Elicitation → Process Discovery → Requirements → Validation → Traceability → Solution Options → Stakeholder Approval

Participants use AI-assisted techniques to analyse a simulated business problem, conduct structured requirements discovery, map the current process, validate requirements, and prepare an approval-ready requirements pack.

Business Data to Transformation Recommendation

Stakeholder Feedback + Process Data + Requirements + Pain Points + Business Metrics → AI Analysis → Gap Identification → Future-State Options → Impact Assessment → Business Case → Executive Recommendation

Participants design an AI-enabled Business Analysis workflow that combines qualitative and quantitative information, identifies business and process gaps, evaluates solution options, and produces management-ready decision support while retaining final decisions with accountable stakeholders.

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