Identify 3 AI Opportunities in Your Organization
Practice spotting AI opportunities and outlining your first potential pilot ideas.


AI and Your MBA Application: Do’s and Don’ts for School Research
Thinking about using AI tools to streamline your MBA school research and networking strategy, and want to do so efficiently and ethically? Join me, M, for a practical and candid session designed to help MBA applicants use AI as a powerful tool for uncovering insights, identifying fit, and guiding meaningful outreach, all while staying focused on authenticity and personal reflection. This session will show you how to integrate AI into your research process, without relying on generic outputs or missing key personal connections. Learn how to craft strategic prompts that help you dig deeper into program offerings, find school culture and values that align with your own, and uncover talking points for essays, interviews, and outreach. I’ll share examples of weak vs. strong AI prompts and how to adapt AI outputs into meaningful, human communication.

Responsible AI Principles
Review five key principles that ensure AI supports people rather than replaces them.

Research & Information Gathering (Using Perplexity)
Discover how to efficiently find reliable, structured information using AI-powered research tools.

Where AI Can Deliver Value in Organizations
Use this guide to review ten common AI use cases and identify where similar opportunities may exist in your work.

Turning AI Learning into Real Results
Apply course concepts to identify your first pilot and define measurable next steps.

Why AI Adoption Fails (and What Success Looks Like)
Analyze real-world case studies to understand why AI initiatives stall and how successful ones sustain progress.

AI Ethics Leader’s Guide
Learn how to model responsible AI use and communicate ethical standards to your team.

Spotting Bias & Building Fairness in AI
Discover how to identify and reduce bias in AI-generated content and workflows.

Training & Scaling: Turning AI into Habit
Learn how to embed AI into daily routines through consistency, peer learning, and visible wins.

Common Pitfalls in AI Writing
Checklist of common writing issues (tone drift, hallucinations, overconfidence) and how to identify and fix them.

Prompts for Market & Competitive Research
Pre-built prompt templates for AI-assisted analysis, comparison, and insight generation.

Audit an AI Use Case for Risk
Practice identifying potential risks and safeguards for a specific AI use case.

Drafting & Content Creation (Using Claude)
Learn how to create high-quality first drafts for emails, reports, and proposals using AI to structure and elevate your ideas.

Exercise: Writing with AI - Creative Application
Practice using AI to adapt tone and structure for different audiences and transform raw ideas into polished writing.

AI ROI Case Studies (Quick Wins)
Review short case studies showing how small AI pilots can generate measurable results.

Leadership & Action: Framing AI for Success
See how leadership communication and small pilots build trust and accelerate adoption.

Exercise: Automate a Team Workflow with AI
Redesign a repetitive team process—from trigger to action to outcome—using AI-driven automation.

Common AI Roadblocks (and Quick Wins)
Identify frequent barriers to AI adoption and learn practical ways to overcome them.


Your Team Is Already Using AI, Here's How To Make It Safe to Scale
AI adoption is happening inside your organization—whether you’ve formally planned for it or not. The real question is: how do you guide that usage in a way that’s safe, strategic, and scalable? In this workshop, Julie S.—a corporate AI training and enablement coach who has helped mid market companies, PE/VC firms, and executives build practical and sustainable AI integration strategies—will walk you through how to create guardrails that enable your teams to use AI responsibly With a background supporting individuals and leaders through complex pivots, identity shifts, and rapid technological change, Julie will share practical steps for evaluating risk, training your team, setting expectations, and building a thoughtful AI strategy from the ground up. Whether your organization is just experimenting with AI tools or experiencing rapid adoption, you’ll leave with actionable frameworks to make AI usage safe, effective, and aligned with your values.
