In this conversation, Adam Avramescu and Elli Neald discuss the evolution of customer education and support through the implementation of AI chatbots. They explore the challenges faced in the "old-school" customer support models, the transition to an AI-first strategy, and the ongoing optimization efforts that have led to significant improvements in resolution rates and customer satisfaction. Ellie shares insights on the importance of testing, data sources, and proactive education in enhancing the customer experience. Key Takeaways from this episode: The transition to AI can significantly improve resolution rates. Content maintenance is a major challenge in customer support. Testing and iteration are crucial for successful AI implementation. Proactive education can enhance customer experience and product adoption. AI chatbots can serve as growth levers rather than just cost centers. Understanding customer needs is key to effective support strategies. Data architecture plays a vital role in AI chatbot performance. Regular optimization is necessary to maintain high customer satisfaction. Engaging with support teams helps identify areas for improvement. AI can personalize responses based on user-specific data.