Example Concept: One common challenge is ensuring compatibility between AI models and existing system architectures. This involves adapting interfaces and data formats so that AI-driven features can seamlessly interact with legacy components. Additionally, managing the increased computational load and ensuring data privacy and security are critical considerations. These challenges require careful planning and testing to ensure that AI integration enhances the system without introducing new vulnerabilities or performance bottlenecks.