Voiceflow

Used by enterprises and product teams to build customer-facing AI agents, internal support bots, and voice assistants, Voiceflow provides the design tools, knowledge infrastructure, and deployment capabilities needed to take AI agents from concept to production reliably.

The platform's canvas-based workflow builder is its design foundation: an infinite drag-and-drop canvas lets teams construct complex agent logic with structured flows, decision paths, conditional branches, and API integrations in a visual format that designers, product managers, and developers can all work with.

This shared design space eliminates the friction of translating conversation flows from documentation into code, keeping all stakeholders aligned on the same source of truth.

Knowledge base management is a core capability: teams import documents, data sources, and content into a scalable vector database that agents query in real time to answer questions from curated, up-to-date information.

This RAG-based architecture allows agents to provide accurate, source-grounded responses without the hallucinations that occur when agents rely solely on LLM knowledge making Voiceflow's agents trustworthy for enterprise deployments where accuracy is critical.

Voiceflow supports multiple deployment targets through its Dialog API: agents can be launched via Voiceflow's web chat widget, embedded in custom interfaces, deployed to call centre platforms for automated voice handling, or integrated into any service through API.

This deployment flexibility allows the same agent design to serve customers across web, mobile, phone, and enterprise communication channels from a single platform.