The article outlines two key ideas about the role of Reinforcement Learning (RL) in vertical SaaS companies. It argues that vertical SaaS firms will become central players in the RL landscape, acting as intermediaries that provide the necessary environments for RL training. These companies can leverage their existing infrastructure and expert networks to train RL agents effectively. Many enterprises are turning to RL-as-a-Service (RLaaS) vendors to optimize their operations, rather than developing RL capabilities in-house. Smaller businesses, in particular, will rely on vertical vendors for these advanced functionalities, as building RL environments is often unfeasible for them. The piece also highlights that successful AI implementations will focus on revenue growth, not just operational efficiency. Companies like EvenUp and Crosby AI demonstrate how AI can streamline processes that directly impact revenue, such as contract reviews and sales order automation. The author notes that AI-enabled services that enhance revenue generation rather than merely reducing costs tend to create stronger market positions. As vertical SaaS firms pursue RL partnerships, it's essential they maintain a focus on augmenting revenue for their clients, as that's where the real potential for growth lies.