Super Data Science: ML & AI Podcast with Jon Krohn 932: Should You Build or Buy Your AI Solution? With Larissa Schneider
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Oct 17, 2025 Larissa Schneider, Co-founder and COO of Unframe, shares insights on deploying AI solutions effectively. She explores the build-vs-buy dilemma, recommending a hybrid approach: purchase quick-win solutions while developing core IP. Larissa details how Unframe’s modular platform offers no-cost proof-of-concepts and emphasizes the importance of ROI and KPIs in project selection. With a focus on speed, she explains their week-long demo cadence, showing how to ensure success in AI deployments. Larissa also highlights the effects of recent advancements like ChatGPT on business strategies.
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Modular Platform Enables Rapid Customization
- Unframe delivers tailored AI via reusable modular "Lego" building blocks to speed deployments.
- They provide production-ready, customized solutions without upfront cost until value is proven.
Start With ROI And KPIs
- Start AI projects by defining clear ROI and KPIs before building anything.
- Run targeted business-impact analyses to pick proofs-of-concept that move the needle.
Include Services In Predictable Pricing
- Bundle services and customization into predictable subscriptions to avoid hidden costs.
- Offer transparent pricing so customers know total cost as they scale use cases.
