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Voiceflow

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Voiceflow is an enterprise conversational AI platform for building, launching, and scaling chat and voice AI agents. It empowers teams to design intelligent workflows, deploy integrated agents across channels, and iterate for continuous improvement, enhancing customer support and CX.

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Voiceflow provides a comprehensive operating system for AI customer experience, enabling businesses to build, launch, and scale advanced AI agents for various needs, including customer support and lead generation. The platform focuses on accelerating the development of AI agents, allowing users to test with live traffic and implement changes that are durable.

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At its core, Voiceflow allows users to design intelligent workflows that create engaging customer experiences. It facilitates the deployment of integrated agents capable of resolving support issues and reducing operational strain. The platform also emphasizes iteration, ensuring agents remain compatible as businesses scale, eliminating the need for complete rebuilds. This is powered by Voiceflow's Agentic Context Engine, designed to transform complex conversations into enriched customer interactions.

Key capabilities include building AI agents for omnichannel support, embedding them directly into websites, integrating them with call centers for phone support, and leveraging a flexible API for mobile and other interfaces. Voiceflow also offers real-time collaboration features, allowing entire enterprise CX teams to own the production experience from design to launch.

The platform is designed for various user roles, including CX and support leaders who can fine-tune business logic, engineers who can connect agents to their existing tech stack via APIs, and enterprise teams looking to lower the total cost of ownership for agentic CX solutions. Voiceflow aims to provide ultimate control, allowing users to avoid model lock-in by choosing from major LLM providers or bringing their own models.

Voiceflow's Agent builder allows for balancing agentic playbooks with deterministic workflows, managed by global instructions and guardrails. An observability suite with LLM-powered evaluations provides custom insights for faster decision-making on agent iterations. The production platform includes environments for development, staging, and final production, all hosted on Voiceflow. Security is a priority, with SOC-2 Type II, ISO/IEC 27001:2022, GDPR, and HIPAA compliance, ensuring data privacy and secure end-user interactions.

Customer stories highlight significant achievements, such as Turo building a scalable, multilingual AI support chatbot in two months, StubHub International launching a powerful AI customer support agent in 90 days, and Trilogy automating around 60% of customer support across 90 products in 12 weeks. Sanlam Studios built an AI financial coach that educates users and drives leads.

  • CategoryAI Agent Builders
  • Pricing ModelContact Us
  • DeploymentCloud
  • PlatformsWeb

  • Build intelligent workflows for conversational AI agents.

  • Deploy integrated agents across multiple customer channels.

  • Iterate and improve AI agents without full rebuilds.

  • Utilize the Agentic Context Engine for enriched customer experiences.

  • Embed AI agents directly into websites with customizable widgets.

  • Integrate conversational AI into call centers for phone support.

  • Leverage a flexible API for AI across unlimited interfaces.

  • Real-time collaboration for enterprise CX teams.

  • Agent builder with agentic playbooks and deterministic workflows.

  • Observability suite with LLM-powered evaluations for insights.

  • Production platform with development, staging, and production environments.

  • Support for multiple LLM providers or custom models.

  • Enterprise-grade security with SOC-2 Type II, ISO/IEC 27001:2022, GDPR, and HIPAA compliance.

  1. Design: Create intelligent conversational workflows using visual tools.

  2. Build: Develop AI agents with agentic playbooks and deterministic logic.

  3. Integrate: Connect agents to existing systems and customer channels.

  4. Launch: Deploy AI agents for customer support, lead generation, and more.

  5. Iterate: Use observability tools to monitor and improve agent performance.

  6. Scale: Expand AI agent capabilities across various interfaces and use cases.

  • Customer Support Automation
  • Lead Generation
  • CX Enhancement
  • Multilingual Support
  • AI Financial Coach
  • Ticket Deflection
  • Interactive Voice Response (IVR)

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