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AI Leadership Lab

Larissa Schneider, COO & Co-founder of Unframe AI

06 Nov 2025

Description

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 itThe "Lego building blocks" approach to enterprise AIHow to get unstuck from data paralysisMoving from 18-month consulting engagements to 45-minute discovery callsBuilding a customer-first culture in a global startupThe future of AI in the workplaceMore 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 yearsKey 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 & LinksUnframe AI: https://www.unframe.ai/Connect with Larissa Schneider: https://www.linkedin.com/in/schneiderlarissa/Ryan Heath Consulting: ryanhealthconsulting.com

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