Example Concept: When integrating AI, one must consider the compatibility of AI models with existing system architectures, ensuring that data pipelines are robust enough to handle new data requirements. Additionally, AI models should be optimized to run efficiently without degrading the performance of the current system. Testing and validation are crucial to ensure that AI functionalities do not introduce bugs or errors into the existing workflows.