Voiceflow

Description

Voiceflow is a hosted platform for building AI agents for support, lead generation, and other customer experiences. Builders mix two primitives: Playbooks (goal-based LLM agents with tools and instructions that decide how to reach an outcome) and Workflows (visual, deterministic step graphs with branches, conditions, and integrations). Agents have a global prompt, instructions, a knowledge base for RAG, and global tools available everywhere. The Crew step coordinates multiple playbooks with direct handoffs between them. Tools include API tools, MCP tools, Function tools (custom JS), system tools (knowledge base, call forwarding, web search, UI artefacts), and pre-built integrations. Deployment surfaces include chat and voice widgets and call-centre IVR.

Solution

Hybrid agentic/deterministic loop. The agent has a global prompt + instructions and may be in an agentic context (top-level agent, playbook, or crew step — LLM reasons freely with global tools) or a scripted context (workflow step — deterministic, global tools disabled). Playbooks are goal-based: the LLM decides which tool to call (API tool, MCP tool, function tool, integration, system tool) toward the configured outcome. The Crew step nests multiple playbooks that hand control between each other based on each playbook's LLM description. Workflows can embed playbooks via the Playbook step for agentic-inside-scripted hybrids.

Primary use cases

• AI customer support agents with playbook + workflow design
• lead generation and qualification conversational agents
• voice / IVR agents for call-centre automation
• knowledge-base RAG agents grounded in uploaded documents and Zendesk/Shopify connectors
• multi-playbook crews coordinating sales, billing, and support sub-agents