AI-Driven Business Analysis
Course 1928
3 DAY COURSE

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