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

BA-Cube Founder | LinkedIn Instructor

Angela Wick

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

Agentic AI Skills for Business Analysts

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

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

The Business Analyst Role in the Age of AI

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

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

AI Literacy for Business Analysts

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-Accelerated Business Analysis

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

Creator of Information Product Canvas

Shane Gibson 

Creator of the Information Product Canvas, 10+ years coaching data teams

This cohort is suitable for people in US timezones

US April 2nd (8am - 1pm PST / 9am - 2pm MST / 10am - 3pm CST / 11am - 4pm EST)

This cohort is suitable for people in UK and EU timezones

UK / EU April 30th  (9am - 2pm GMT / 11am - 4pm EET)

“Thats not what I wanted”“But thats what you asked for!” If this sounds familiar, then chances are your struggling with some of the following: 🚩 Your stakeholders and your data team seem to be speaking VERY different languages 🚩 Gathering data requirements takes too long 🚩 The process of gathering data requirements is not fun for you or your stakeholders 🚩 Your stakeholders needs and your data requirements are full of ambiguity (no matter how hard you try) 🚩 Your data team cannot work out what to build from the data requirements you capture 🚩 Your data requirements are full of the what, but not the why 🚩 You capture screeds of detailed data requirements that are never used In my 1 x 5-hour masterclass workshop, you will learn learn how to solve these problems by using the Information Product Canvas pattern to gather data requirements in 30 minutes or less, using a shared language. ✨ Become the data universal translator in your organisation✨ Capture needs clearly and quickly with a proven template✨ Get fast stakeholder feedback while you are in the room✨ Give the team enough to build, without noise and distraction✨ Build trust by linking requirements to real actions and actions

How many times have you heard this.... 

Stop boiling the ocean, capture requirements in a repeatable way. Requirements your stakeholders love and data teams can build from

Become the data universal translator in your organisation

Capture stakeholder needs and data requirements

Empower data teams with everything that they need to build

Create trust within your stakeholders

This is a live course. Over 50% of the course is hands on team work going through a case study to "learn by doing".

You need to attend the live session in person to participate

You need to attend the live session in person to participate. Access to the content is available on the companion website after the course.

The course is not recorded

Any automated AI transcription bot will not be accepted into the session.

No "AI Bots"

Business Analysts who are gathering data requirements on behalf of their data teams

Data Product Managers who need to define and prioritise the data work coming up

Data Analysts who want to agree upfront the outcome of the work they are about to do for their stakeholder

AI is reshaping every industry. Adapt or risk falling behind. This course gives you the tools to stay relevant and lead the change.

CEO, Orai (AI Speech Coach)|Forbes 30U30

Danish Dhamani

CEO Orai (AI Speech Coach) | Forbes 30U30

Founder, Apollo School 

Nadim Nasser

Founder Apollo School (Exited)

Cohort 3

Cohort 4

Most professionals feel pressure to “use AI,” but end up stuck in shallow prompting, tool overload, and unreliable results. The real problem isn’t access to AI—it’s knowing how to apply it meaningfully to your actual work.This course shows you how to move from curiosity to execution. In the course, You’ll actually utilize AI to build:•⁠ ⁠slide decks and spreadsheets from rough notes •⁠ ⁠landing pages and small apps (without coding) •⁠ ⁠image generation and brand visuals •⁠ ⁠short videos for social media •⁠ ⁠AI agents that handle repetitive work for youYou won’t just learn tools; you’ll leave with systems already running in your work.

Learn how to use AI in a practical, grounded way - not hype, not theory.

Think and Operate Like an AI-Native Professional

Reclaim 5-10 Hours a Week Using AI Systems

Produce Client-Ready Assets in Minutes, Not Days

Build and Deploy AI That Works for You 24/7

Managers &amp; Team Leads: Master AI tools and workflows to boost team output, make faster decisions, and stay ahead of automation.

Consultants &amp; Analysts: Use AI to analyze faster, summarize smarter, and craft data-backed insights that wow clients.

Founders &amp; Builders: Turn ideas into systems. Automate your ops, scale lean, and focus on what truly drives growth.

"The most powerful person in the world is a Storyteller," ~Steve Jobs. Stories connect. Data informs. Combine them, and you're unstoppable.

Data Leader Microsoft, PayPal | Author 

Microsoft

PayPal

UCLA

Harvard University Belfer center

Gulrez Khan 

Award-Winning Author| Data Science Leader (Ex-Microsoft, PayPal)

Cohort 9

Cohort 11

"The most powerful person in the world is a Storyteller," said Steve Jobs. Stories connect... Data informs.... (Combine them) and you're unstoppable..!! Join Gulrez for an exciting online event where we will dive into the world of data storytelling. Learn how to transform raw data into compelling narratives that captivate your audience. 1) Struggling to make your research or insights resonate? 2) You know what the numbers say but not how to say it clearly? 3) Struggling to connect with non-technical audiences? Register today and share with your network............................................................................................................<hr>(Recent experience from a student):💭 “Your storytelling is so good! I usually struggle to stay focused on calls, but I didn’t check any other tab or my phone during your session. Absolutely gripping.”...........................................................................................................👉🏼 100% tuition-back guarantee. I’m that confident this class will transform you.

Learn the art of telling stories with Data leveraging AI

Learn how to tell Powerful Stories (even if public speaking isn’t your thing).

Use Visual cues to guide attention and reduce cognitive load on the audience.

Explore how to use AI tools to brainstorm, draft, and refine your data stories.

(The Unusuals) Learn how to move the audience with non-traditional visuals.

Build the skill to evaluate your own data stories & improve them with feedback.

Data Scientists, Analysts, Product Managers and Engineers who want to increase their influence by communicating data more efficiently.

Decision-makers who want to lead with data, sharpen their analytical thinking, and inspire action through storytelling.

Professionals transitioning into the data space, seeking to build confidence in telling compelling stories with data.

Bad story kills great analysis. Every single time!

Data Leader Microsoft, PayPal | Author

Geico

Gulrez Khan

Data Science Leader Microsoft, PayPal | Award-Winning Author

Cohort 1

You are not bad at your job. You're probably one of the most rigorous people on your team. You check your numbers twice. You know when data is being misread in a meeting — and it quietly drives you crazy.But here's what nobody tells you when you start a career in data:Being right is not enough.At some point you watched a decision get made on gut feel while your analysis sat in a deck nobody opened. You've presented findings that were met with "interesting" — and then nothing. No action. No change.That silence is not a data problem. It's a story problem.The people who move organizations forward aren't always the most technically skilled. They're the ones who can take a complex finding and make a room full of non-technical people feel the urgency of it.That skill has a name: data storytelling. And almost nobody teaches it seriously.Most storytelling courses teach you to speak more confidently. Most data courses teach you another tool. This workshop sits in the gap between them — where your actual influence lives.Not because your analysis wasn't good enough. Because it deserves to be heard.

Product Managers and Strategists who regularly present data to executives and need their data to tell a story than just report a status.

Mid-career Analysts and Data Scientists who know their tools well but keep hitting a ceiling when it comes to influencing stakeholders

Anyone who has ever watched someone with weaker analysis get more traction just because they communicated better and decided that stops now.

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


AI-Enabled Systems & Process Design

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

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 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

Making Sense of SQL (even if you're not an engineer)

Emma Boroson

Data engineer, MBA, and educator -- teaching analytics without the overwhelm

Translate a real SQL query into plain English so you’re not guessing, when it shows up at work.

Follow what a SQL query is actually doing

Learn where to start, and how to spot the few parts of a SQL query that tell you what's really going on

Know where to focus (and what you can ignore)

Build confidence and credibility to keep up and participate when SQL comes up in the conversation

AI Fundamentals

Apply AI in your role

Career Development

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Craft

AI Fundamentals

Leadership fundamentals

AI Fundamentals

Leadership fundamentals

By Role

For Business Analysts

Cohort-based courses

Free Lightning Lessons

Run an AI-Powered Requirements Elicitation Session

The Missing Role in AI Projects & Initiatives: Analysis

Making Sense of SQL (even if you're not an engineer)

Can You Trust It? 4 Ways Data Visualizations Mislead

Don't Take Numbers at Face Value: Bad Data Ruins Good Charts

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