Angela Wick

AI/BA Expert - 25+ years practicing, shaping analysis, product and requirements.

The Business Analyst Role in the Age of AI

Cohort 1

AI Literacy for Business Analysts

Agentic AI Skills for Business Analysts

AI-Accelerated Business Analysis

AI-Enabled Systems & Process Design

Cohort 1 - Aug 11th (US/EMEA/SA)

Cohort 2 - Aug 12th Austrailia-NZ-APAC

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

Mini-Brief - The Evolving Role of The BA in AI

Download this free reference guide and get instant clarity on how agentic AI is reshaping every area of BA work. Across 40+ tasks spanning Strategy, Requirements, Design, Testing, Change Management, and AI Governance, you'll see exactly what's Still Needed, what Evolves, what's Reduced, and what's Brand New and with key insights for each.

BA Tasks in the Age of 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

Project managers who organize and oversee execution of initiatives, timelines, and cross-functional delivery.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Business analysts defining requirements and bridging business and technical teams.

Automating professional workflows with AI tools — productivity, operations, and task automation.

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

Modernizing Business Analysis

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

IT Business Analyst

Lead Business Analyst

Sr Business Analyst

Business Analyst

Sr. Business Analyst

Project Manager

IT Solutions Analyst

Business Relationship Manager

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.This course will build your AI usage confidence and elevate your AI usage and skills!We need to balance speed and discipline, and we need the skills to ensure we 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. This is an 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 provides a comprehensive workbook of BA activities and exercises to help you co-create with AI and stakeholders. We focus on skills to leverage AI so that you can evolve more easily as AI and your organization evolves.

Accelerate Your Analysis With AI w/o 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

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

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

Modernizing Business Analysis 

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 &amp; 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.

Reframing analysis roles for the AI era!

Common role collapse patterns in AI initiatives

How AI breaks phase-based SDLC thinking

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

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

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

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

AI usage, productivity, and implementation risk often come from poor assumptions about what AI can and cannot do. It also stems from poor analysis and organizational dynamics in which stakeholders ask for solutions that are either too specific or too generic, and pressure teams to deliver them, 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, but from a capability point of view; business uses and patterns of functional usage.You will build a grounded understanding of AI capabilities, limits, 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

Giving BAs AI Fluency & Literacy to Use, Analyze, and Recommend AI Solutions

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

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

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

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

The 2 AI Shifts Every BA Needs To Know!

Run an AI-Powered Requirements Elicitation Session

The 4 Levels of AI in a Business Process

The Missing Role in AI Projects & Initiatives: Analysis

The Hidden Burnout Traps in Tech & How to Escape Them

A detailed look at my 5-Course series!

Analysis is Needed on AI Projects - New Mindset, New Skills, New Knowledge, New Ways of Working - Let's Do This!

AI Transformation Ready BA Course Series: Details

Why I Created This:

What's Inside?

BABOK v3 mapped to the AI era: concepts, tasks, techniques, and competencies for using AI and analyzing AI projects.

BABOK v3 In An AI World: A BA's Practical Guide

AI Rapid Prototyping as a Requirements Discovery and Elicitation Technique

You were trained to discover requirements by asking, listening, and writing it all down. That made sense when building software was slow and expensive.Building a working, clickable prototype is now nearly free. You can stand up a working prototype in minutes, and a working prototype pulls out what people actually need faster than any interview, user story, or spec. Put something real in front of stakeholders and the reactions pour out, and those reactions and feedback are critical!AI helps us write faster, but it doesn't mean that writing requirements is still the best way to collaborate.This workshop treats AI rapid prototyping as what it really is: a discovery and elicitation technique. You will build and use prototypes to surface hidden assumptions, expose disagreement, and align technical, business, and vendor teams fast.*This is a "bring your own tool workshop". Students can use any AI rapid prototyping tool. Common tools include: Loveable, Bolt, Replit, Claude Design, Claude Code, Gemini, and Gemini Canvas. If you do not have access to any of these, we recommend purchasing a monthly access to Loaveable or Claude Pro (includes design) for about $20.

Master AI prototyping as an elicitation skill, and shift from documenting requirements to discovering them in real time.

Reframe prototyping as the new front end of discovery

Use prototypes to elicit what people struggle to put into words

Know the difference between discovery and delivery prototyping

Prototype across Uis, reports, data, features, and full apps 

Facilitate prototyping across business, tech, and vendor teams 

BAs, product owners, product and project managers, systems analysts, requirements engineers, and consultants who bridge business and tech

Angela Wick will transform your BA skills for the AI age.