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Voiceflow is a no-code platform designed for product teams to build, launch, and scale AI agents for customer service and beyond. The platform combines visual workflow design with powerful integrations, enabling teams to create human-like voice agents and deeply customizable chat agents without writing code. Teams can design conversational flows using a drag-and-drop canvas, test agents in real-time, and deploy across websites, mobile apps, phone systems, and messaging channels.
The platform supports multiple large language models including OpenAI and Anthropic, with the flexibility to bring custom LLMs for enterprise deployments. Voiceflow provides comprehensive knowledge base capabilities, allowing agents to access up to 10,000 sources per agent on business plans. Teams can build agents that integrate with CRMs like Salesforce and Zendesk, e-commerce platforms like Shopify, analytics tools like Segment and Sigma, and data warehouses like Snowflake. The Dialog API enables custom interface development and deeper system integrations.
Voiceflow emphasizes team collaboration through shared workspaces, unlimited view-only collaborators, and version history capabilities. The platform includes built-in testing tools, transcripts dashboard, and analytics to track agent performance and optimize conversations. Voice agents support concurrent calls with configurable limits based on plan tier, while chat agents can be embedded with customizable widgets. Security features include user permissions, SSO for enterprise plans, private cloud hosting options, and custom privacy controls for customer-facing widgets.
The credit-based pricing model provides transparency for AI usage, with credits powering both agent hosting and AI services including LLM tokens, text-to-speech, and speech-to-text processing. Organizations can start with the free Starter plan for prototyping and scale up through Pro, Business, and Enterprise tiers as agent usage and team size grow. Enterprise customers receive dedicated account management, tailored training, migration support, and custom contracting to meet compliance and operational requirements for large-scale AI agent deployments.
- Automating customer support tickets to resolve common inquiries and reduce support team workload
- Building in-app AI copilots that guide users through complex product workflows and feature discovery
- Creating voice agents for phone-based customer service with natural conversation and call routing capabilities
- Deploying chat agents on websites to qualify leads, answer product questions, and schedule demos
- Automating contact center operations with intelligent call distribution and issue resolution
- Designing conversational interfaces for e-commerce sites to assist with product recommendations and checkout
- Building financial service copilots that help users navigate complex domains with accessible language and compliance
- Creating AI assistants for internal teams to automate workflows, retrieve company knowledge, and streamline operations
- Developing multilingual chat agents that support global customers across different regions and languages
- Building voice-enabled applications for smart devices and IoT platforms with custom wake words
- Creating educational AI tutors that provide personalized learning experiences and answer student questions
- Deploying AI agents that integrate with existing tech stacks to retrieve data and trigger actions
