Example Concept: One common challenge is ensuring compatibility between the AI model and the existing system architecture. This involves aligning data formats, communication protocols, and software dependencies. Additionally, scalability must be considered to handle increased data loads and model updates, while ongoing maintenance is necessary to address model drift and ensure continued accuracy and relevance of AI predictions.