I’ve been exploring customer experience technologies lately and came across several real-world examples of AI chatbot development while browsing tech forums, product communities, and enterprise solution websites. What impressed me most is how modern chatbots now go far beyond simple scripted responses — they handle customer support queries, lead qualification, appointment scheduling, order tracking, internal HR requests, and even workflow automation across departments. This evolution highlights how conversational AI is becoming a core operational tool rather than just a customer service add-on. At the same time, it seems clear that the balance between automation and human interaction is critical for maintaining trust, accuracy, and customer satisfaction. While chatbots excel at handling high-volume, repetitive, and rule-based tasks, complex situations that require emotional intelligence, negotiation, or nuanced decision-making still benefit from human involvement. This makes me curious about how businesses define the boundaries between automated chatbot interactions and human handoff points. What criteria do organizations use to decide where chatbots should stop and humans should take over, and how do they ensure a seamless transition so the customer experience remains consistent, efficient, and personalized?