Become an AI-Native Leader
Lauren Vriens Co-Founder and Chief Product Officer
19 chapters · 2h 23m · Intermediate
About this course
Build an AI-native operating model that ties automation to revenue, reduces decision bottlenecks, and turns team knowledge into reusable workflows and shared context.
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
Your instructor
Lauren Vriens Co-Founder and Chief Product OfficerLauren 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.
Included in the course
- 19 chapters, 2h 23m
- Downloadable resources
- Progress tracking
- Closed captions available
- Level: Intermediate
- Access from any device
Tools used
ChatGPT, Google Drive, SharePoint, Notion, Slack, Microsoft Teams