The Business Analyst Role in the Age of AI

4.9 (19)

Angela Wick

Modernizing Business Analysis

Reframing analysis roles for the AI era!

Everyone's role is changing, especially in software and projects. AI is collapsing roles and changing tasks; we need to rethink how we add value! AI introduces ambiguity, probabilistic behavior, and continuous decision-making into systems designed for certainty.

This course exists to answer a foundational question:

What is the Business Analyst responsible for when AI changes how work gets done, and what analysis is needed for AI projects and AI Agents?

Analysis roles (Business Analysts, Business Systems Analysts, Product Owner, Process Analysts, Operations Analysts, and Project Managers & Scrum Masters who do requirements/analysis work) need a reimagined role mindset in our AI-driven world.

This course focuses on role clarity and the drivers behind why the role is shifting so much right now! You will examine how AI changes productivity expectations, teaming, the SDLC, and the analysis tasks needed for AI projects, integration/automation, and Agentic AI.

This course is designed to reshape how you think about your role before you learn execution mechanics.

What you’ll learn

Understand why AI raises the bar for analysis roles, define role value in an AI context, and describe your role and value to others.

Understand why & how traditional requirements and analysis tasks are disappearing into AI-automated processes.
Understand the analysis value shifting LEFT and RIGHT, and the traditional middle is being automated.
Spot early warning signs of analysis role erosion in AI initiatives before gaps in ownership and risk escalate.

Redefine the BA role around integration, decision boundaries, and accountability instead of documentation.
Understand the changes in software development processes driven by AI and their impact on all roles on the team.

Discover the tasks that analysis keeps, evolves, and new tasks and techniques we need in an AI era.
Distinguish between automatable BA tasks and the human judgment, oversight, and accountability AI cannot replace.
Discuss how your organization's leaders are thinking about speed vs. quality of analysis in project and product delivery cycles.

Communicate the strategic value of business analysis in AI initiatives with clarity, authority, and confidence.

Explain why AI increases demand for analysis by introducing ambiguity, probabilistic outcomes, and new governance risks.
Understand how analysis looks different: More continuous, more integrated, more co-creating, more facilitative

Learn directly from Angela

Angela Wick

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25+ years practicing, shaping, and teaching analysis, product, and requirements.

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Who this course is for

Business Analysts, Product Owners, Business Systems Analysts, Systems Analysts, Business Process Analysts, and similar roles.
BA Leaders redefining roles for AI-enabled teams
Business Leaders, Project and Product Professionals pulled into AI initiatives without clear accountability

What's included

Live sessions

Learn directly from Angela Wick in a real-time, interactive format.

3 hr Daily Live Online Interactive (and Recorded) Sessions

3 hr Live Online Interactive (and Recorded) Sessions with Angela and other learners, creating a deep experience to engage, interact, and process the learnings. Small-group breakouts not recorded.

Hands-On, High-Engagement Experience

You’ll participate in group discussions, breakout exercises, workbook activities and large group discussions.

Using your own AI tools

Use tools you have access to, and learn to ask for more! This approach ensures the learning is practical and directly applicable to your day-to-day work environment.

Practice Exercises and Reflections

You will get a course workbook with course exercises, reflections, templates, and guides to practice applying to your work.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

2 live sessions • 15 lessons

Week 1

Jun 8—Jun 9