Voiceflow

Voiceflow is an enterprise conversational AI platform that helps product, CX, and support teams design, launch, and scale AI agents across chat and voice channels. Built around a visual, collaborative workflow canvas, Voiceflow lets both technical and non-technical team members map out agent logic, conversation flows, and business rules without needing to build everything from scratch in code, while engineers can extend agents with custom Functions, APIs, and JSON for deeper control.

The platform's Agentic Context Engine powers real-time conversations across web chat widgets, phone/voice channels, and mobile, with support for major LLM providers including OpenAI, Anthropic, Google, and Meta so teams can avoid vendor lock-in or bring their own model. Voiceflow's Knowledge Base feature lets agents answer questions using uploaded documents and data sources, while an observability suite gives teams conversation-level visibility, LLM-powered evaluations, and analytics to continuously improve agent performance. A staging-to-production environment structure allows teams to test agent builds before they go live.

Voiceflow is best suited for enterprise CX and support teams, conversation designers, and product teams who need to deploy AI agents at scale with governance and reliability, as well as agencies building agents for multiple clients. Customers including Turo, StubHub, Trilogy, and Rocket Companies have used Voiceflow to automate significant portions of their customer support, in some cases automating around 60% of support interactions across dozens of products.

The company integrates with common business tools like Salesforce, Shopify, Zendesk, HubSpot, and Google Sheets, and holds SOC-2 Type II, ISO/IEC 27001:2022, GDPR, and HIPAA compliance certifications, making it a common choice for enterprises with strict data security and compliance requirements.

Voiceflow offers a Free (Starter/Sandbox) plan for prototyping and evaluation with a one-time credit grant (roughly 100 credits/month) and access to limited LLM models, ideal for testing before committing to a paid plan. The Pro plan starts around $60/editor/month (about $50/month effective on annual billing) and adds access to all major LLM models with higher usage limits for individual builders or small teams. The Business (Team) plan starts around $150/editor/month and includes roughly 30,000 credits, 5 workspaces, up to 10,000 knowledge sources, LLM fallback models, unlimited agents, priority support, and around 15 concurrent voice calls, aimed at growing teams. Enterprise pricing is custom (commonly cited in the $1,000-$2,000+/month range or higher depending on volume) and includes unlimited credits and agents, SSO, private cloud hosting, dedicated account management, migration support, and custom SLAs. Additional editor seats, phone numbers, and credit overages (for LLM usage, voice minutes, and messages) are billed on top of the base plan. Annual billing offers roughly a 10% discount. A separate Agency & Partner track offers a free trial with no credit card required and usage-based billing for teams building agents for clients.