Accenture

Thales Group

Ultragenyx

Kenneth Lowe

Author, Innovation Strategist, Speaker, Consultant

Assess Your Firm’s AI Readiness

Author, Innovation Strategist, AI Builder

You’ll learn how to spot whether AI is saving time, creating rework, exposing client data, or quietly adding risk.

Identify Where AI Is Already Helping—or Hurting

You’ll complete a practical assessment across AI use, process fit, data and tools, security, and staff training.

Score Your Firm’s AI Readiness

You’ll learn how to separate real business opportunities from AI noise, so you can identify where AI deserves attention.

Find the Right First AI Opportunity

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

Modernizing Business Analysis

Angela Wick

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

AI Literacy for Business Analysts

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

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

Learn practical ways to lead in responsible AI, with tools you can apply today. 

Responsible AI Advisor & Instructor 

Ahold Delhaize

Johnson & Johnson

ABN AMRO

Hinda Haned

Legatus I

Legatus II

Responsible AI is no longer a niche topic, it’s on the agenda of regulators, boards, and business leaders everywhere. In 2024 alone, governments worldwide issued more than twice as many AI-related regulations as the year before. Add to that more than 80 frameworks, countless checklists, and a steady stream of new tools, and the field quickly feels overwhelming. The real challenge isn’t whether AI should be used responsibly; it’s knowing where to begin. 🎯This course brings you back to the foundations: cutting through the noise, grounding you in what matters, and giving you a clear path forward.Here is detailed breakout of the course:🟩 Week 1: Power Session | Responsible AI PrimerA focused 3-hour session that cuts through the noise and gives you a practical overview of Responsible AI governance.🟩 Week 2: Mentoring &amp; Application | RAI Lab<blockquote>In the second week, you’ll have up to three hours of 1-to-1 mentoring to apply the tools directly to your own context. This may include building a governance checklist, evaluating a vendor, or stress-testing a project plan. The goal is for you to walk away with a concrete, business-ready action plan tailored to your organisation.</blockquote>

Your Responsible AI power session: from principles to practice

Understand core Responsible AI principles in practical business contexts

Recognise common AI risks through real-world system failures

Use a simple Responsible AI risk assessment framework

Define actionable first steps toward Responsible AI adoption

Anyone seeking a clear, practical intro to RAI with real-world examples to apply best practices or guide others effectively.

Leaders seeking to build or improve RAI governance with concrete SOPs and case studies from leading organizations.

Professionals who need to understand and apply RAI to meet regulatory and ethical standards, using field-tested examples.

Use AI Without Losing the Judgment Your Work Depends On

Human-AI Work & Systems Advisor

Joyce Ventures

University of Wisconsin-Madison

Center on PBIS

Joyce White Nelson 

Systems-Change Advisor | Human Judgment & AI-Assisted Work | Founder, iQuoteHero

Founding Live Workflow Lab — September 2026

AI is becoming part of everyday work, but using it well requires more than knowing which tool or prompt to use.For experienced professionals, the harder questions are often: What should I delegate to AI? What still needs my judgment? What should I verify? What am I still accountable for? And is this way of working strengthening my expertise—or slowly replacing parts of it I still need?In this practical workshop, you’ll bring one real workflow, decision, client deliverable, communication, or recurring task from your own work.Together, we’ll examine where AI adds genuine value, where human judgment and context remain essential, where rework or risk may be hiding, and how to redesign the workflow with clearer roles for both you and AI.You’ll leave with a practical Human + AI Workflow Map you can use again as the technology and your work continue to change.This is not a tools class. We work on your actual work.

Redesign one real AI-assisted workflow so you know what to delegate, what to verify, and where your judgment still matters.

Choose the right role for AI 

Find the judgment points 

Build in verification

Spot hidden rework and risk

Redesign one real workflow

Use the method again

Experienced entrepreneurs and founders Already using AI and want clearer judgment, better workflows, and less hidden rework.

Consultants, coaches, and advisors Use AI in client work but want to protect quality, credibility, voice, and professional responsibility.

Leaders, educators, and team facilitators Need ways to decide where AI helps, where humans stay accountable, and people keep learning.

Managers & senior ICs use AI daily, yet it hasn't made them better leaders. 

 Teach at HBS, Brown, Cornell, Columbia

Mike Grandinetti

AI Practitioner, 8X Founder, HBS AI Institute Exec Ed Cornell Columbia Brown NYU

Cohort 1

The news about the economy is depressing. Layoffs are a constant threat, even with strong performance reviews. Hybrid human agent teams are now a thing. The job market is frozen.How do you operate like a leader before someone gives you the title? Output might help you keep your job. Preparation gets you promoted. At risk if unsolved: the next promotion. The reliable operator who is perpetually “not quite ready” every cycle — while a systematically prepared peer becomes the obvious choice.Already tried: prompt collections, AI-tips newsletters, tool subscriptions. Didn't work because no recurring trigger. The habit never survived the 3rd Monday.Managers &amp; senior ICs who already use AI daily are discovering it hasn't changed how they lead: AI usage is now table stakes, so the career edge has moved to whoever runs a system.In one hands-on half-day, you'll build a personal AI Leadership Operating System on your real week — a context file, three engines, and a 30-minute Monday ritual that leaves as a scheduled habit, not notes. Unlike videos or prompt libraries, you get live feedback on your real material until it works — the ritual is on your calendar before the room closes.

How to use Claude, ChatGPT, etc. to create your own complete Personal Leadership Operating System on your own real work week in real time.  

•	Build and deploy a one-page personal context file 

•	Run the 1:1 Prep Engine on your own real calendar 

•	Define your 3 standing risk categories 

•	Extract every commitment from a week of meeting notes — owed and owed-to

Leave with 6 actionable artifacts that turn the lesson into a  weekly habit, 

We will be using a chatbot to build your personal operating system in real time. 

Basic familiarity with a Frontier chatbot. 

The free version of these tools will not enable you to get the full results

A paid subscription to Claude, ChatGPT, or Google Gemini

Titles: Manager/Sr Manager/Director (engineering, product, ops, marketing, finance), senior ICs on mgmt track, senior PM, principal

Experience: 6–15 years; owns a calendar of 10+ meetings a week and outcomes delivered through other people.

Company: growth-stage and mid-market (50–5,000 employees), where roles are broad and preparation is visible.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Introduction to AI Readiness and the Lightning Session Format

The Urgency of AI Adoption and Unpredictable Threats

Point 1: AI Readiness as a Proven Change Management Process

Point 2: Starting with Business Needs Rather Than Technology

Point 3: Taking Inventory of Current Processes and Risks

Identifying Quick Wins and Opportunities for AI Integration

People and Training Readiness: Overcoming AI Anxiety

Data and Information Readiness: Compliance and Reliability

Risk and Security Readiness: Managing Vendor and Data Exposure

Uncovering Hidden Constraints and Assumptions in Pilot Projects

Utilizing the AI Readiness Assessment Tool for Business Insights

Summary: The Three Core Principles of AI Readiness

Next Steps: Designing Effective AI Pilots and Workshop Conclusion

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

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

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Assess Your Firm’s AI Readiness

What you'll learn

Why this topic matters

You'll learn from

Kenneth Lowe