Angela Wick

The Business Analyst Role in the Age of AI

Cohort 1

AI Literacy for Business Analysts

AI-Accelerated Business Analysis

Agentic AI Skills for Business Analysts

AI-Enabled Systems & Process Design

The Business Analyst role is shifting, much like all other roles. Discover what this shift means to business analysts.

Exec Summary - The Evolving Role of The BA in AI

Download and take our burnout quiz and see where you are at! Can't wait to see you in our FREE Lightning Session Jan 5th, or our cohort course starting Feb 2nd!

Burnout Quiz

Students will learn the AI literacy to evaluate AI ideas, surface risk, and make sound judgments without becoming technical specialists.

BA-Cube Founder | LinkedIn Instructor

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

Senior Business Analyst

Application Manager

Manager - IT Business Analysis

Business Analyst

IT Manager - Business Analysts 

Principal Application Specialist

IT Business Analyst III

Business Process Analyst

Sr Business Analyst

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

Everyone's role is changing, especially in software and projects. AI is seemingly collapsing roles, or is it changing the roles and tasks? 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?This course focuses on role clarity. You will examine how AI changes productivity expectations, teaming, and the SDLC, and 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.

Reframing the BA role for AI-enabled organizations

Why AI increases the need for business analysis rather than reducing it

Which BA tasks AI can take over and which responsibilities cannot be automated

Common role collapse patterns in AI initiatives

How AI breaks phase-based SDLC thinking

How to explain BA value as integration, judgment, and accountability

Business Analysts, Product Owners, Business Systems Analysts, Systems Analysts, Business Process Analysts, and similar roles.

BA Leaders redefining roles for AI-enabled teams

Professionals pulled into AI initiatives without clear accountability

AI risk often comes from poor assumptions about what AI can and cannot do. It also comes from poor analysis and organizational dynamics of leaders asking for solutions and pressuring teams to deliver solutions rather than solving real problems.Analysis professionals have a huge role in this dynamic that can change everything!Analysts are increasingly expected to participate in AI decisions, yet most training focuses on tools or stays abstract. This course fills the gap in understanding AI capabilities: Not from a technical point of view, rather a capability point of view; business uses and patterns of functional usage.You will build a grounded understanding of AI capabilities, limits, patterns, and failure modes, and learn how requirements shift toward hypotheses, experiments, and continuous outcomes in AI-enabled work.This course explores the skills of:🎯 Identifying the right AI use cases for specific business scenarios🎯 Distinguishing between deterministic and probabilistic systems and deciding where each should be applied in a workflow🎯 Questioning and communicating AI use case fit and risks—and defining clear hypotheses for AI solutions

Giving BAs AI Literacy to Understand, Evaluate and be Accountable for AI 

Major AI capability types and their appropriate uses

GenerativeAI is just one piece of AI, and much more than "chat".

What AI is good at and where it fails

Generative AI and its Data Sources (Public vs. Private)

How requirements shift to hypotheses and experiments

Where humans must remain accountable in AI-enabled systems

Analysts, Project Managers, Business Leaders and others involved in AI discussions or initiatives

Analysis Leaders responsible for AI-related risk

Analysts who want confidence without pretending technical expertise

Learn how to redesign your BA workflow so AI increases your speed while preserving traceability, judgment, and risk control.

AI makes Business Analysis faster. It does not automatically make it better!AI is evolving fast, and so are the analysis practices we need to keep up with.In an AI age, business analysis needs to balance speed and discipline. You need the skills to ensure you are not using AI just for speed while sacrificing the structure and discipline needed to get impactful results!Without structure, AI-assisted work introduces:<ul><li>Hidden logic gaps</li><li>Overconfidence bias</li><li>Loss of traceability</li><li>Increased risk of downstream defects</li></ul>This course shows you how to integrate AI into your everyday analysis work deliberately and safely. We will dive deep into AI to augment your analysis capabilities, increase your speed, and ensure your quality and value are not sacrificed.This is not a prompt class.This is a AI-enabled Business Analysis accelerator. Build the skills to evolve continuously as AI evolves and keep your business analysis practices evolving as well.This course does not provide a set of tools or processes; we acknowledge that AI is changing rapidly, and we focus on skills to leverage AI so that you can evolve more easily as AI and your organization evolves.

Accelerate Your Bus Analysis With AI Without Sacrificing Quality/Accountability

Discover how AI can help with analysis tasks

AI as your analysis assisstant

Validate and QA AI-generated analysis outputs

Explore a variety of common and specialized AI tools as they perform anaysis

Practicing Business Analysts using AI in their daily work

Senior BAs looking to modernize their workflow

Consultants who need defensible AI-assisted outputs

Learn how to redesign end-to-end processes so AI strengthens your organization instead of fragmenting it.


Most AI initiatives focus on tools and tasks.Few redesign the process and/or system.When AI is inserted into broken or unclear processes, the result is:<ul><li>More exceptions</li><li>Hidden ownership gaps</li><li>Unclear escalation</li><li>Fragile automation</li><li>Accountability confusion</li><li>Scaling nightmares</li></ul>This means increased cost and unhappy customers!AI changes how systems behave. We must design coherent processes with the end-to-end in mind.That means intentionally aligning:<ul><li>Users and their scenarios</li><li>User experience and workflows</li><li>Business rules and policies</li><li>Data flows</li><li>AI guidance, guardrails, governance, and performance measures</li></ul>Business analysis is the skill set, mindset, and discipline that brings all of these elements together—integrating them into coherent solutions that deliver real business value.

Design AI-Enabled Business Systems That Actually Work

Differentiate embedded AI, automation, and agentic AI in end-to-end processes.

Analyze an end-to-end business process that includes AI components

Clarify ownership and decision accountability

Define, Design, and Build human checkpoints into AI workflows

Facilitate decisions about AI in the organization

Senior Business Analysts / Lead BAs

Product and Transformation Leads / BA Consultants

BA Managers modernizing delivery models

Learn how to define task autonomy, decision thresholds, guardrails, and human override in agent-enabled systems.

Agentic AI changes the game because AI can autonomously act. It can initiate actions, make decisions, and operate across workflows with increasing autonomy. Risk escalates, and so does opportunity! Without deliberate, disciplined, and structured analysis, agents act on incomplete logic, unclear boundaries, and undefined escalation paths. That is where exposure multiplies. This course matters because Business Analysts are uniquely positioned to define autonomy limits, decision thresholds, guardrails, and monitoring structures before agents scale. It equips you to design control into autonomy, so AI-driven systems remain accountable, coherent, and aligned with business intent rather than becoming fragile at scale.AI is moving beyond assistance. Agents can:<ul><li>Initiate actions on their own</li><li>Make decisions</li><li>Trigger workflows</li><li>Operate continuously</li></ul>This changes the role of Business Analysis.When agents act without clearly defined:<ul><li>Goals</li><li>Boundaries</li><li>Escalation rules</li><li>Monitoring thresholds</li></ul>Organizations lose control.This course teaches how to design and govern agent behavior responsibly.

Prioritize, Define, Design, and Govern AI Agents and Agentic Systems

Distinguish Between Automation, Copilots, and True Agents

Decompose Tasks for Autonomous or Semi-autonomous Execution

Define Agent Goals, Success Criteria, and Measurements

Define/Design Multi-Agent Orchestration

Design Human Override and Intervention Paths

Participate in Ongoing Evaluation of Agent Performance

Senior and Principal Business Analysts/BA Leaders

Consultants advising on AI transformation

Stop running on empty — learn the mindset, tools, and techniques to reset and unlock high performance and thrive.

Product/Tech/Analysis Professional

BA-Cube

BA-Squared

LinkedIn

International Institute of Business Analysis

Product, Business Analysis, Agile, AI

Inside-Out Catalyst

Jessica Garver

Leadership and burnout prevention and recovery coach

Tech professionals are expected to deliver high-quality work at high-speed; often under relentless pressure. Most people are operating without a reliable system to sustain performance over time. You’ll learn a clear, repeatable framework for sustaining high performance without burning out. You’ll learn to separate what’s personal from what’s structural so you can focus on the levers actually within your control. Using practical tools, you’ll map your work and stress patterns, redesign your boundaries and communication habits, and build a sustainable operating rhythm that supports consistent, high-quality output. The result is a shift from reactive, overloaded work to intentional, value-aligned action, giving you more stable energy, better focus, and stronger performance.For corporate leaders:This program reduces your team’s reactivity, improves decision quality, strengthens communication, and creates more predictable team performance. Teams trained in this system show lower burnout risk, fewer escalations, and more consistent delivery, without requiring additional headcount or heroic effort.

Go from reactive survival mode to regulated, energized high performance

Discover how to recognize burnout before it starts impacting you

Learn tools and mindsets to use in preventing burnout

Discover techniques to manage both internal and external triggers of burnout

Learn about what it takes to recover from burnout once it sets in

If you identify as a robot, this course may feel redundant.

Ideal for humans.

High-performing tech pros who juggle constant change, complexity, and cognitive load—and need a system that won’t burn them out.

Leaders who want sharper thinking, steadier emotions, and sustainable output without sacrificing their health or creativity.

Product Managers, Analysts, Project Managers, and Engineers who feel overloaded, reactive, or stuck in stress loops

Run an AI-Powered Requirements Elicitation Session

Business Analysis Expert

How the process  the questions we ask, the stakeholders we involve, and the depth of discovery needs to shift today!

Why Traditional Elicitation Falls Short on AI Projects

Define what is meant by an AI-powered requirements elicitation session, and a vision of what a few examples look like.

What a AI-Powered Collaborative Session Entails

Techniques for using AI as a partner during elicitation: expanding stakeholder input, probing deeper for richer insights

How to Facilitate an AI-Powered Session

The 4 Levels of AI in a Business Process

A clear framework for understanding how deeply AI can be embedded in a business process.

The 4 of AI Levels Defined

A look at each level of AI and how it changes the level of human interaction and involvement.

Each Level and Human Involvement Needs

The level of AI involvement directly shapes the requirements you need to elicit, the risks you need to facilitate for.

How Each Level Changes Your Analysis Work

The questions and criteria that help you and stakeholders reach alignment on the appropriate level of AI involvement.

How to Assess the Right Level for a Given Process

The Missing Role in AI Projects & Initiatives: Analysis

Learn why analysis is often a reason AI projects fail.

Analysis is Critical to AI Projects

How AI changes productivity, teaming and the SDLC, and the analysis needed on projects themselves

3 Impacts of AI on Analysis Roles

The shift from documentation to integration, governance, judgment, and facilitating decision-making

Analysis and Product Roles Must Shift

The Hidden Burnout Traps in Tech & How to Escape Them

BA-Cube.com Founder and Host | LinkedIn Learning Instructor | 2+ Million Trained

The Inside-Out Catalyst | Leadership Coach & Org Strategist | Career Coach

Assess

The the difference between burnout and pressure that fuels, not  drains

Discover

Learn how to spot patterns and triggers that push high achievers past the point of recovery

Patterns and Triggers

Mind traps that keep smart people stuck in exhaustion loops

Learn directly from Angela Wick