3-Day Instructor-Led Training
Practical Exercises
After-Course Instructor-Coaching Included
AI-Driven Business Analysis
Course 1928
- Duration: 3 days
- Language: English
- Level: Intermediate
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.
AI-Driven Business Analysis Delivery Methods
In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.
AI-Driven Business Analysis Course Information
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
- Prioritise 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
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
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AI-Driven Business Analysis FAQs
This course teaches you how to use AI to enhance Business Analysis. You’ll learn how to leverage AI tools to improve requirements gathering, process optimisation, stakeholder communication, and strategic decision-making.
It’s ideal for:
- Aspiring or practicing Business Analysts of all levels
- Product Owners
- Professionals transitioning into tech or digital roles
- Anyone who wants to stay relevant in the AI-driven future of work
By the end of the course, you’ll be able to:
- Use AI tools to write user stories, automate documentation, and generate insights.
- Map and optimise business processes using AI and automation platforms.
- Build AI-enhanced dashboards and reports.
- Design intelligent workflows and identify opportunities for digital transformation.
No coding experience is required. All tools and platforms are no-code or low-code. You’ll learn to use AI tools and automation systems that are accessible to business professionals.
- Interactive Templates (requirements, automation, and documentation)
- Case Studies (business transformation examples)
- Hands-On Projects (build your own AI-driven BA portfolio piece)
- Quizzes & Assignments to track progress
Most BA courses teach frameworks — this one teaches the future of the profession.
You’ll learn to:
- Integrate AI and automation into your daily BA practice
- Produce deliverables faster and smarter
- Use generative AI to enhance stakeholder engagement
It’s designed to make you future-proof in a world where AI and analysis intersect.