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 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 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
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

Select Commercial or Government Pricing

$2,785

3-Day Instructor-Led Training
Practical Exercises
After-Course Instructor-Coaching Included

Would you like to take this course as a team?

Mar 25 - 27 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
May 6 - 8 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Jun 24 - 26 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Aug 5 - 7 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Sep 23 - 25 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Nov 4 - 6 9:00 AM - 4:30 PM EST

Herndon, VA or Virtual
Dec 16 - 18 9:00 AM - 4:30 PM EST

Herndon, VA or Virtual

$2,785

3-Day Instructor-Led Training
Practical Exercises
After-Course Instructor-Coaching Included

Would you like to take this course as a team?

Mar 25 - 27 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
May 6 - 8 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Jun 24 - 26 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Aug 5 - 7 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Sep 23 - 25 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Nov 4 - 6 9:00 AM - 4:30 PM EST

Herndon, VA or Virtual
Dec 16 - 18 9:00 AM - 4:30 PM EST

Herndon, VA or Virtual

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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 optimization, 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 optimize 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.

AI-Driven Business Analysis

AI-Driven Business Analysis Delivery Methods

AI-Driven Business Analysis Course Information

AI-Driven Business Analysis Course Outline

Learning Objectives

Live Instructor $2,785

Live Instructor $2,785

AI-Driven Business Analysis FAQs

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Who is this course for?

What skills will I gain?

Do I need to know how to code?

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