Conversational AI Chatbots and Voice Assistant

What types of AI agents can I build with Voiceflow?

Voiceflow supports both Voice Agents for human-like phone calls and Chat Agents with deep customization. It’s a platform for ambitious product teams to build AI Agents with speed, control, and observability, designed to deploy to customer-facing channels and automate complex tasks and interactions.

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How does Voiceflow empower teams to build custom AI agents?

Voiceflow helps product teams avoid generic support bots by enabling tailor-made AI Agents for customer support with full control. It supports designing, testing, deploying, and scaling AI agents that automate tasks and interactions, with emphasis on observability and reliability to reduce risk. It also uses a flexible pricing model based on message volume.

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What channels and experiences can Voiceflow support?

Voiceflow allows you to design and deploy AI Agents for voice (phone calls) and chat experiences, enabling conversations across multiple customer channels from a single platform. This includes human-like voice agents and highly customizable chat agents.

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What integrations are available with Voiceflow for enhancing AI agent capabilities?

Voiceflow can connect to a variety of external systems to extend agent capabilities, including Salesforce for analytics and logic powering, Shopify Plus for e-commerce actions, Zendesk Help Center for dynamic carousels, and Twilio for SMS messaging. It can also send data to Snowflake for analytics and Sigma for performance visualization.

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Is Voiceflow suitable for enterprise-scale AI solutions?

Yes. Voiceflow offers an Enterprise Cloud designed for secure scaling and deploying advanced AI agents within enterprise environments. Teams can build AI solutions using approved Large Language Models (LLMs) while integrating with customer data and tech stacks. It includes security features like API-first data handling and guardrails for robust control and customization, helping enterprises move quickly as LLM and NLU technologies evolve.

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Are there case studies or measurable results from Voiceflow deployments?

Yes. For example, a Trilogy team case study shows a custom AI agent automating customer support across 90 product lines and delivering 70% automation of Level 1 tickets. This deployment saved $425,000 in 90 days after launch. You can read the case study for more details.