AI-Driven Business Analysis

Overview

🕮 Off the shelf (OTS)

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 programme, attendees will be able to confidently leverage AI to improve productivity, quality, insight, and decision-making in their organisations. This is the way forward.

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

Module 1: The New BA Landscape
• Why AI changes the BA role
• Types of AI relevant to BA
• 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

o Problem statements
o AS-IS & TO-BE summaries
o Business rules
o 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 modelling 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 modelling
• 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.

Please note – data may be processed in countries with adequacy agreements in place.