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AI-Driven Business Analysis

Course Outline

This 3-day interactive course equips Business Analysts with the practical skills, tools, and frameworks needed to integrate Artificial Intelligence into every stage of the BA lifecycle. Designed for real-world application, the course blends strategy, hands-on Business Analysis practice, case studies, and tool-based demonstrations. Participants learn how AI enhances requirements, analysis, stakeholder engagement, business cases, automation, and solution evaluation — enabling BAs to operate at a higher, more strategic level. By the end of the program, attendees will be able to confidently leverage AI to improve productivity, quality, insight, and decision-making in their organizations. This is the way forward.

AI-Driven Business Analysis Benefits

  • Course Benefits

    • Explain where AI fits within the BA lifecycle
    • Understand common AI tools used across industries
    • Identify opportunities for AI-driven optimisation in BA workflows Practical Skills
    • Use AI to support elicitation, documentation, analysis, and modelling
    • Apply AI tools (ChatGPT, Miro AI, Power BI Copilot, Jira AI, etc.)
    • Interpret AI-generated insights (predictive analytics, sentiment analysis) Analytical & Strategic Outcomes
    • Build stronger business cases using data & AI-driven insights
    • Evaluate solutions with AI-enhanced modelling and forecasting
    • Prioritize automation opportunities using AI recommendations Professional & Soft Skills
    • Improve stakeholder communication using AI-assisted outputs
    • Present AI-enhanced process maps, requirements, dashboards, and UX scenarios
    • Maintain ethical, safe, and responsible use of AI in BA practice

    Prerequisites

    • A good working knowledge of Business Analysis is required
    • No AI background is required.
    • No programming experience required.

AI-Driven Business Analysis Course Outline

Learning Objectives

Module 1: The New BA Landscape

  • Why AI changes the BA role
  • Types of AI relevant to BA (GenAI, Predictive AI, NLP, Process AI)
  • Industry trends and future BA competencies

Module 2: AI in Requirements Elicitation

  • Using AI to prepare interview questions
  • Turning meeting transcripts into themes, user stories, and acceptance criteria
  • AI for stakeholder sentiment analysis Tools: ChatGPT, Fireflies, Otter, Jira AI

Module 3: AI in Requirements Documentation & Analysis

  • AI for clarity checks, ambiguity detection, and requirements quality (Requirements Engineering)
  • Auto-generating BA artifacts
    • Problem statements
    • AS-IS & TO-BE summaries 
    • Business rules
    • Converting requirements for tech, business, and execs

Module 4: AI for Process Mapping & Improvement

  • Using AI to design workflows
  • AI-driven process mining
  • Identifying automation opportunities
  • Drafting Power Automate / UiPath workflows Tools: Celonis, Miro AI, Power Automate Copilot

Module 5: AI for Data Analysis

  • AI-assisted quantitative analysis
  • Asking natural-language questions to data
  • Forecasting and predictive modeling for business cases Tools: Power BI Copilot, Tableau GPT, Excel Copilot

Module 6: AI in Testing & Quality Assurance

  • AI-generated test cases
  • Checking requirement completeness
  • Validating business logic

Module 7: Stakeholder Engagement Using AI 

  • Using AI to adapt communication for different stakeholders
  • AI for persona development
  • Improving conflict resolution with AI reflection tools

Module 8: AI in Business Case Development

  • Using AI for benefits modeling
  • AI-generated risk assessments
  • Predictive ROI analysis

Module 9: AI in Solution Evaluation & TOM Design (Business Architecture)

  • Simulating future-state scenarios
  • AI-supported TOM diagrams (Business Capability Map viewpoints)
  • AI-enabled gap analysis

Module 10: Ethics, Governance & Responsible AI for BAs

  • Bias, transparency, data privacy
  • Human oversight
  • Safe use of AI in corporate environments
  • AI governance and compliance

Module 11: Building Your AI-Enabled BA Toolkit

  • Tool selection guide for BAs
  • How to embed AI in your BA workflow
  • Skills roadmap for becoming an AI-enabled BA
  • Sample templates (provided as downloadable assets

Final Activity: AI-Enhanced BA Capstone Participants work in teams to produce a full artifact pack for a simulated project using AI:

  • Stakeholder map
  • User stories
  • Process maps
  • Business case
  • Test cases Executive summary Presentations
Course Dates - North America
Course Dates - Europe
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