Larissa Schneider, COO & Co-founder of Unframe AI

https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/a4/26/4a/a4264ab7-4356-4fb0-0e0e-70092d93eaf5/mza_6861025879933432749.jpg/600x600bb.jpg

AI Leadership Lab

Ryan Heath

5 episodes

5 days ago

C-Suite leaders and AI founders tell former Axios AI Correspondent Ryan Heath about their AI journeys: what’s working, what's not, how they got there, and how they pivot. These are thoughtful, non-technical discussions about making AI work.

Technology

RSS

All content for AI Leadership Lab is the property of Ryan Heath and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Technology

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/44396747/44396747-1759851614638-397e056f9ea52.jpg

Larissa Schneider, COO & Co-founder of Unframe AI

AI Leadership Lab

26 minutes 14 seconds

5 days ago

Larissa Schneider, COO & Co-founder of Unframe AI

In this episode of AI Leadership Lab, host Ryan Heath sits down with Larissa Schneider, COO and co-founder of Unframe AI, to discuss how her company is revolutionizing enterprise AI adoption. Larissa shares the origin story of Unframe, their unique "try before you buy" approach, and how they're helping Fortune 500 companies move from one AI use case to 17+ in just a few quarters.

Key Topics:

Why most AI vendors are taking value instead of providing it
The "Lego building blocks" approach to enterprise AI
How to get unstuck from data paralysis
Moving from 18-month consulting engagements to 45-minute discovery calls
Building a customer-first culture in a global startup
The future of AI in the workplace

More about the guest: Larissa Schneider is the COO and co-founder of Unframe AI, a platform that helps enterprises implement AI solutions quickly and efficiently. Previously, she worked at Noname Security and spent six years at Nutanix in enterprise sales and marketing. Larissa and her co-founders launched Unframe in early 2024 to address the gap between AI hype and actual enterprise value delivery.

Timestamps

[00:00] Intro - The try-before-you-buy AI model

[01:03] The origin story of Unframe AI

[03:05] The "Lego building blocks" approach to AI

[05:34] Breaking through data paralysis

[07:31] The overwhelming AI landscape in 2025

[09:30] Balancing hype with engineering truth

[12:19] How enterprises interface with the Unframe platform

[14:00] What Unframe got wrong initially and how they pivoted

[15:59] Building a customer-first culture

[17:40] Global adoption trends and surprises

[20:00] Ethical considerations and responsible AI

[22:01] The future of AI leadership, AI use in board meetings

[24:25] Where AI will be in 3-5 years

Key Quotes

"There's no other industry that can say, sure, I'll build it for you. You can try it and only if you like it, you'll pay me on an outcome-based pricing model."

"If a human can interact with it, the AI is smart enough to figure it out as long as it's tailored in the right direction."

"Software should fit the humans and the enterprise processes that they have evaluated, not the other way around."

Resources & Links

Unframe AI: https://www.unframe.ai/
Connect with Larissa Schneider: https://www.linkedin.com/in/schneiderlarissa/
Ryan Heath Consulting: ryanhealthconsulting.com