Enterprise AI is advancing beyond simple chatbots to complex agents capable of interacting with data, automating decisions, and engaging business specialists, prompting a nuanced debate between building and buying solutions. While buying pre-built agents offers speed, integration, and lower initial costs, they are often limited to specific systems, lacking customization. Conversely, building agents provides control, cross-system integration, and unique capabilities but demands significant resources and risks technical sprawl without proper governance. Most organizations find a hybrid approach, combining both methods, to be effective, provided it is supported by a robust platform ensuring centralized orchestration and governance to prevent agent sprawl. This strategy allows companies to leverage quick solutions while developing tailored, innovative systems that offer competitive advantages, emphasizing the importance of aligning AI initiatives with genuine business value.