Become an AI-Native Leader

Taught by Lauren Vriens

Chapters: 19
Duration: 2h 23m
Updated: Jun 2026

What you'll learn

Measure AI by Business Impact

Tie AI initiatives to revenue, retention, margin, cash flow, or throughput instead of generic productivity gains.

Prioritize Revenue Workflows

Find the bottlenecks, handoffs, and translation loss that slow customer value, then apply AI where it improves flow.

Build Shared AI Context

Create reusable markdown files, instructions, and shared context systems that keep people and AI working from the same source of truth.

Productize Repeatable Work

Design repeatable AI jobs, skills, and agents around clear outcomes, constraints, inputs, tools, and success criteria.

Lead AI-Native Teams

Set operating principles, review rhythms, and adoption rituals that make AI useful without flooding leaders with low-value output.

Improve AI Output Quality

Use AI to surface assumptions, ask better questions, organize knowledge, and turn repeated corrections into stronger workflows.

Course curriculum

3 parts · 19 chapters

Lauren Vriens is Co-Founder and Chief Product Officer of a startup driving enterprise growth by harnessing the intersection of human judgment and AI systems. Previously, she created Accenture's first enterprise GenAI product (now a $340M business) and scaled an electric vehicle startup from $0 to $50M in 18 months. She has advised executives at FINRA, Waymo, and Stripe on transformation in an AI-native world, and her insights on AI have reached over 25M people. A Fulbright Fellow who has spoken at TEDx, Extraordinary Women on Boards, Microsoft, JPMorgan, and a16z NY Tech Week, Lauren distills the pace of change into actionable clarity - drawn from real-world experience building what's next.