What Challenges Do Developers Face When Building Scalable AI Chatbot Applications?

As AI chatbot adoption continues to grow, businesses are increasingly integrating conversational systems into their web and mobile applications to automate support, improve engagement, and streamline communication. However, building chatbot systems that are reliable, scalable, and capable of handling real-time interactions introduces several technical and architectural challenges.

In this discussion, I’m interested in hearing from developers, architects, and teams who have worked on chatbot implementations. What are the biggest challenges related to system architecture, backend integration, response latency, and maintaining conversation context at scale? How do factors like infrastructure design, API dependencies, and concurrent user handling impact performance?

It would also be valuable to understand how teams approach scalability, reliability, and long-term maintainability when deploying chatbots in production environments. Your insights could help others better understand what it takes to build and operate scalable conversational AI systems.