Prompt management is a systematic approach to creating, storing, versioning, and optimizing prompts for large language model (LLM) applications, ensuring consistency, traceability, and scalability. It addresses key challenges such as version control, cross-functional collaboration, and performance monitoring. Effective prompt management prevents prompts from becoming development bottlenecks and introduces structured workflows that enhance collaboration among technical and non-technical stakeholders, streamline updates, and improve the performance of AI applications. Tools like Humanloop provide centralized systems for prompt management, offering features such as version control, performance tracking, and compliance enforcement, which are crucial for enterprises, cross-functional AI teams, and AI engineers working with large-scale LLM applications. By integrating these tools, organizations can achieve efficient prompt iteration and deployment, maintain compliance and security, and optimize AI performance, ultimately enhancing collaboration, efficiency, and compliance in AI development processes.