Agent playbooks and workflows
Combine natural-language instructions and guardrails with structured workflows. Configure knowledge documents, variables, functions, and tools as parts of the agent.
Voiceflow lets teams build chat and voice agents, connect business tools, test conversations and manage releases and performance in one platform.
Voiceflow is a platform for building and operating conversational AI agents for customer experience teams. Configure an agent's instructions, knowledge documents, tools, and workflows, then connect it to customer-facing chat or voice experiences. Teams can combine agentic playbooks with scripted business logic rather than relying on a single open-ended prompt.
The platform brings together an agent builder, collaborative controls, testing, observability, and hosted release environments. Developers can also use the REST API to build agent components, run conversations, publish versions, and inspect results. This makes Voiceflow useful for support teams developing their own service workflows and agencies managing agents for multiple clients.
Combine natural-language instructions and guardrails with structured workflows. Configure knowledge documents, variables, functions, and tools as parts of the agent.
Use API tools, custom functions, and MCP connections to give an agent access to the data and actions required by your workflow.
Build conversational experiences for voice and chat. The platform describes customer service across web, app, WhatsApp, SMS, and voice channels.
Test scripted conversation scenarios and use development, staging, and production environments to publish changes. Version and traffic controls support evaluating a changed agent.
Inspect agent logs and transcripts, score conversations against your chosen criteria, and query usage and cost to guide improvements.
Collaborate with roles and permissions. The agency offering includes multi-client workspaces, white-labeling, and client handoff tools.
Configure business knowledge and workflows to answer service questions, then inspect actual conversations and test scenarios when updating its behavior.
Connect order data through tools and define conversation paths for eligible returns, expired return windows, or damaged-item escalation. Test the configured paths before releasing them.
Use the agency offering's client workspaces to manage deployments, billing, and performance, with white-labeling and handoff capabilities for client delivery.
Yes. The agent builder combines agentic playbooks with deterministic workflows, governed by global instructions and guardrails. Teams configure the knowledge, variables, and tools used by the agent.
The REST API covers building components, running conversations, publishing environments, and reading transcripts, evaluations, usage, and cost. Requests require a personal access token. API tools, functions, and MCP can extend the agent's workflow.
Use tests and simulations to check conversation scenarios, then move releases through development, staging, and production. Environments also support separate versions and traffic splitting for evaluating changes.
Agencies and partners have usage-based billing and a free-trial entry without a credit card. Businesses request pricing and can choose self-serve or fully managed implementation support.
Yes. The REST API supports reading transcripts, evaluating conversations against defined criteria, and querying tokens, calls, conversations, unique users, and spend attributed to agent components. These measures help teams inspect their own deployment.
トラフィックデータは参考情報としてご利用ください。
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