Challenges and Learnings For Org-Wide AI-Native Adoption
Hosted by Mihail Eric, Nils Widal, and Hannah Henderson
In this video
What you'll learn
How adoption differs by scale
Challenges of pushing AI adoption org-wide
Where to start in your own org
Why this topic matters
You'll learn from
Mihail Eric
Head of AI at Monaco, Creator of Stanford's AI Coding Course
I’m Head of AI at Monaco, a startup building the future AI-powered revenue platform for GTM teams, backed by Human Capital, Benchmark, and Founders Fund. I'm also an adjunct professor at Stanford, where I created and teach "The Modern Software Developer", the university's first course on AI software development. I've trained hundreds of engineers on AI coding principles and have advised dozens of global software teams including Amazon, Allianz Global, Upstart, and more.
In past lives, I was a technical lead at Amazon Alexa where I built the first LLMs for the organization. I also founded a YC-backed AI coding company. Before that I started Confetti AI, a machine learning education startup that trained thousands of students globally and that I led until its acquisition in 2022.
Nils Widal
Nils Widal is CTO of Cara and founding CTO of Aytza, building HIPAA-compliant AI
Nils Widal is the technical co-founder and CTO of Cara, a HIPAA-compliant AI infrastructure platform for healthcare delivery organizations, and founding CTO of Aytza, an AI-native strategy consulting firm helping healthcare leaders navigate high-stakes decisions like market entry, commercialization, and M&A. He's spent 7+ years in healthtech, previously building for startups like Truepill or SteadyMD, and Fortune 500 payors and pharma companies. Nils is known for his hands-on work with agentic coding, including the failsafe medical triage agents paper and a how he shipped 66 tickets autonomously, his open-source Codex & Claude Code harness for healthcare compliance (HIPAA, HITRUST, ISO 27001, SOC 2). He writes about clinical AI safety and healthtech engineering.
Hannah Henderson
Senior Engineering Manager at Honeycomb leading Growth and Agentic Intelligence
Hannah Henderson is a Senior Engineering Manager at Honeycomb, where she leads the Growth and Agentic Intelligence teams. Her work explores how AI is reshaping software engineering: how engineers build and grow, what they and their agents create, and how they understand the systems they operate.
Hannah transitioned into tech from mechanical engineering and has over a decade of experience building products and engineering teams. She has worked on everything from satellites and skyscrapers to developer tools at Honeycomb, CircleCI, Transcend, and Lockheed Martin.
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