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Voiceflow

AI Agents

Build, deploy, and operate AI agents without fragmentation.

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AISH Bottom Line

Voiceflow is an AI agent platform that combines a no-code visual canvas, AI-powered knowledge base (RAG), multi-LLM flexibility, and observability suite into a single design-to-production environment. The visual builder makes it accessible to CX teams, while a comprehensive API (Dialog API, Functions, CMS API) and 300+ pre-built integrations empower engineers to extend agents into any workflow. Unlike narrow purpose-built tools, Voiceflow consolidates the entire agent lifecycle from prototype to production across web, phone, and embedded channels.

Pros & Cons

Pros

Multi-LLM flexibility

Choose GPT, Claude, Gemini, Llama, Grok, or bring your own. Switch models without rebuilding your agent infrastructure.

No-code meets developer power

Visual canvas for CX designers, plus API blocks and custom JavaScript functions for engineers who need deeper integrations.

Built-in agent observability

Track conversations, run LLM evaluations at scale, and iterate on agent quality using the platform's native analytics dashboard.

Cons

Opaque pricing

The public pricing page shows only two tiers without dollar amounts. Budget comparisons require a sales call or account creation.

Requires hands-on setup for full value

The visual builder is accessible to non-developers, but production deployments demand knowledge integration work, API configuration, and often developer involvement.

Pricing

Model:Freemium
Currency:USD
Billing:Monthly / Annual
Free tier:Free Plan

Starter

Individuals trying out Voiceflow; limited features, not intended for production usage

Free
  • 100 credits/month
  • Access to Voiceflow agent builder
  • Limited agent count
  • Not suitable for production
  • Free, no credit card required
Most Popular

Pro

Individual builders

$60/ mo, billed monthly ($648/yr billed annually)
  • Everything in Starter
  • 10,000 credits/month (base tier)
  • Access to all LLM models (OpenAI, Anthropic, Google, Groq, etc.)
  • Higher agent limit than Starter
  • Additional editor seats available at $50/mo each
  • Monthly or annual billing

Business

Growing teams

$150/ mo, billed monthly ($1,620/yr billed annually)
  • Everything in Pro
  • 30,000 credits/month (base tier)
  • LLM fallback models
  • Priority support
  • Multi-workspace management
  • Additional editor seats at $50/mo each
  • Scalable credit tiers up to $500/mo (100k credits)

Enterprise

Organizations running large-scale workloads or requiring advanced security and compliance

Custom
  • Everything in Business
  • Unlimited product usage
  • Single sign-on (SSO)
  • Private cloud hosting
  • Custom credit allotments
  • Dedicated account manager
  • SOC-2 compliance
  • GDPR compliance
  • Custom invoicing and procurement support

Plans and prices can change — always verify on the vendor's site.

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Features

Visual Workflow Builder

Voiceflow's Workflow Builder is a collaborative drag-and-drop, no-code canvas for building advanced AI agent conversation logic. Teams can create orchestrated sequences of conversational steps, integrate hardcoded and AI-powered logic, and test prototypes in real-time across the full build lifecycle.

Knowledge Base (RAG)

Teams can train AI agents on business data — including Zendesk help articles, sitemaps, PDFs, and internal docs — using a scalable vector database. The Knowledge Base supports multi-LLM models, lets users tweak temperature and system prompts, and offers instant preview of responses before deployment.

Agent CMS (Content Management System)

The Agent CMS centralizes all agent content — including LLM prompts, variables, intents, entities, functions, and knowledge sources — in a single place for large-scale management. Teams can organize content into folders, manage variable presets across production agents, and train NLU models from one unified interface.

Multi-LLM & NLU Support

Voiceflow is model-agnostic, supporting the latest large language models (GPT, Claude, Gemini, Llama, Grok) alongside traditional NLU providers so teams can avoid vendor lock-in. Users can switch models, adjust parameters, and combine deterministic flows with generative AI responses within the same agent.

Developer Toolkit & API Library

Voiceflow offers a comprehensive API-first developer toolkit, including a Dialog API, Functions (custom JavaScript integrations), and a CMS API for dynamically querying and deploying agent content. Developers can build custom interfaces, integrate any third-party service, and extend agents beyond the no-code canvas.

Live Agent Hand-Off

Agents can seamlessly transfer conversations to live human agents using Voiceflow's open-source chat widget and custom action step, with full conversation context passed to the receiving platform. Native integrations support Zendesk, Intercom, and other live chat platforms.

Voice AI Agent Support

Voiceflow supports building and deploying voice AI agents for phone channels, integrating with telephony providers like Twilio, Amazon Connect, and VAPI to handle inbound calls, understand caller intent, automate workflows, and route conversations to human teams. Voice agents operate with sub-300ms latency.

300+ App Integrations

Voiceflow connects agents to over 300 apps and software tools across CRM/Sales (Salesforce, HubSpot), Customer Support (Zendesk, Freshdesk), Commerce (Shopify, Adobe Commerce), Analytics (Segment, Sigma, Snowflake), Communication (WhatsApp, Slack, SendGrid), and more via pre-built integration functions.

Real-Time Collaboration

Multiple team members — designers, developers, and business stakeholders — can collaborate simultaneously on the same agent project within Voiceflow's shared canvas. The platform has been tested with up to 100 concurrent collaborators on a single design, with a single source of truth and full project history.

Enterprise Security & Compliance

Voiceflow is SOC-2 Type II, ISO/IEC 27001:2022, GDPR, and HIPAA compliant, with AES encryption at rest, TLS/mTLS in transit, customer-managed keys, SSO and granular user permissions, audit logging, and multi-AZ cloud infrastructure on AWS and GCP. Enterprise teams also get DDoS protection and WAF.

Prototype Testing & Instant Previews

Teams can test and share AI agent prototypes in real-time throughout the build lifecycle — from first design to production launch — using 1:1 previews that reflect live knowledge base responses. Adjustments to LLM settings, prompts, and flows are immediately reflected in the preview environment.

Integrations

AirtablenativeDiscordnativeHubSpotnativeLinearnativeManychatnativeNotionnativeSendGridnativeShopifynativeWhatsAppnativeZendesknativeActiveCampaignnativeTwilionativeMake (formerly Zapier)nativen8nnativeGoogle Sheetsnative

Use Cases

designer

Conversational AI designers and product teams use Voiceflow as their central design and testing environment for building chat and voice agent flows. The platform supports real-time multi-user collaboration (up to 100 concurrent users), reusable component libraries, advanced NLU/LLM logic, SSO-managed user permissions, and shareable prototypes — replacing fragmented design tools with a single source of truth across design and engineering teams.

marketer

Product and marketing teams embed AI copilots directly in their apps or websites to guide users through the buying journey, personalize offers, and convert leads. The copilot is trained on a product catalog or developer docs via the Knowledge Base, layered with business logic for multi-step actions (purchases, onboarding), and deployed using Voiceflow's embeddable chat widget or Dialog API. Sanlam Studios built an AI financial coach that converted 45% of conversations into qualified leads.

enterprise

Operations and engineering teams build Voice AI Agents that handle inbound calls, understand caller intent, complete automated workflows (booking, record updates, routing), and transfer to human agents with full conversation context. Voiceflow integrates with telephony providers like Twilio, Amazon Connect, and VAPI. Teams deploy 24/7 phone coverage that can resolve inquiries without expanding headcount — Superloop and Turo use Voiceflow for large-scale voice deployments.

enterprise

Product and CX teams use Voiceflow to automate customer support at scale — from Level 1 FAQs to complex Level 2–3 multi-step queries. Teams upload support documentation to the Knowledge Base, build workflows for complex ticket actions, integrate with Zendesk for live agent handoff, and deploy via web chat or API. Trilogy automated 60% of their L1/L2 support tickets across 90 products in 12 weeks; Voiceflow's own internal agent reduced ticket costs from $31 to $2.

Engine-Analysed

Data extracted and structured by the AISH Analysis Engine, not manually curated or vendor-submitted.

Verified & Dated

Pricing, features, and availability verified against Voiceflow's public pages.

Editorially Independent

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