Monetizing AI — Alvaro Morales, Orb скачать в хорошем качестве

Monetizing AI — Alvaro Morales, Orb

As AI continues to transform industries, companies are faced with the critical challenge of effectively monetizing AI-driven products in a way that captures value, ensures customer adoption, and scales revenue sustainably. Unlike traditional SaaS models, AI-powered products have unique complexities - such as fluctuating usage patterns, variable compute costs, and evolving customer demands, making conventional pricing strategies unhelpful to the growth of an AI product-led startup. In this session, Alvaro Morales, CEO and co-founder of Orb, will explore why the often overlooked monetization aspect of AI is critical for businesses. He’ll share real-world examples and data to demonstrate how adaptive pricing models can drive cost savings, enhance customer experience, and reduce operational bottlenecks. Alvaro will lead a live demo, showcasing how engineers can simulate AI pricing strategies and subsequently integrate them with a simple plug-and-play solution. He’ll also share how real-world revenue simulations enable companies to test and refine pricing before implementing — reducing risk, boosting adoption, and unlocking new revenue streams. As a quick example, cloud software development platform Replit was looking to adopt a usage-based pricing model for a new product, but their existing billing system couldn't support the new model, and building a new billing system would delay the launch timeline. In order to get things done, they turned to Orb, which enabled them to make pricing changes up to the last minute. After the launch, Orb became the single source of truth for both Replit and its customers - providing usage alerts to notify Replit when users hit cost thresholds and provide insights into user spend and payment methods. Key takeaways: The challenge of AI monetization – Why traditional subscription-based SaaS pricing models don’t work for AI-powered products. Precision pricing – Exploring how usage-based, tiered, and hybrid pricing models can maximize revenue potential. Revenue simulation for AI pricing – Leveraging real-time data to test, adjust and optimize pricing strategies. Avoiding common pricing pitfalls – Identifying mistakes that can lead to revenue leakage and customer churn. This session is designed for AI executives, product leaders, and engineering teams looking for actionable strategies to build adaptive, scalable pricing models that drive long-term growth and profitability. --related links-- https://x.com/alvaromorales   / alvaro-morales   https://www.withorb.com/