Voiceflow is a visual platform for designing and deploying conversational AI experiences. Core capabilities: Drag-and-drop conversation flow builder, multi-channel deployment (web, mobile, Alexa, Google Assistant, phone IVR), NLU integration for intent recognition, API connections for dynamic data. Design features: Visual canvas for conversation mapping, reusable components, version control, team collaboration, testing simulator. AI integration: Native NLU for intent/entity extraction, knowledge base for RAG responses, GPT/Claude integration for dynamic responses, fallback handling. Use cases: Customer service bots, voice assistants, IVR systems, in-app help, onboarding flows, FAQ automation. Best practices: Map user journeys first, design for failure cases, include human handoff, test with real users, iterate based on analytics. Alternatives: Botpress, Rasa (open source), Dialogflow, Amazon Lex. Deployment: One-click publishing, A/B testing, analytics dashboard, conversation history. Pricing: Free tier available, scales with usage. Enterprises get dedicated support, SLA guarantees, SSO.