Chatbots follow predefined rules and decision trees. AI agents use machine learning and natural language processing to understand context, learn from interactions, and make autonomous decisions. AI agents can handle complex, nuanced customer requests that chatbots would escalate to humans. In a banking context, an AI agent might recognize a customer's financial stress pattern and proactively suggest solutions, while a chatbot would only respond to explicit requests.
