The text explores the challenges and solutions associated with modernizing monetization strategies in the tech industry, particularly for AI-powered software companies. It highlights the disparity between rapid product development cycles and the slow pace of pricing changes due to outdated billing infrastructures designed for traditional subscription models. Companies face operational complexity when adopting usage-based pricing models, which are essential for AI products that require hybrid pricing strategies, combining base access fees with consumption charges. The proposed solution is the Monetization Operating Model, a cross-functional framework that aligns people, processes, and tools to enable rapid, scalable pricing adjustments in line with product innovations. This model emphasizes shared ownership, continuous pricing iteration, and infrastructure designed to handle real-time consumption data, thereby transforming pricing from an operational bottleneck into a competitive advantage. The framework encourages treating pricing like product development, fostering transparency, experimentation, and agility, ultimately allowing companies to capture more value, serve diverse customer segments, and outpace competitors with legacy systems.