Voiceflow Alternatives for Chat and Voice Agents

The best Voiceflow alternative depends on which half of "conversational agent" you actually need. If you want a chat-first builder, look at Botpress, Rasa or Microsoft Copilot Studio. If you want phone-call voice agents, look at Retell AI, Vapi, Synthflow or Bland. If you need something that plugs into a large contact center, look at Google's Dialogflow CX, Amazon Lex, Kore.ai or Cognigy.

Voiceflow describes itself as an enterprise AI agent platform for customer experience and support teams. One agent can run across web, app, WhatsApp, SMS and voice, and teams can mix AI-driven behavior with scripted workflows. That "one builder, many channels" idea is the thing to keep in mind when you compare it with tools that do one channel very well.

Here is the short version, then a closer look at each option.

Quick comparison

Chat-first builders

These are the closest in spirit to Voiceflow's canvas: you design a conversation, connect it to your systems, and put it on a website or messaging app.

Botpress

Botpress now pitches itself as an enterprise AI agent platform for customer support. Its home page lists Botpress Studio as a visual agent builder, plus a helpdesk product, knowledge bases and tables, and integrations with tools like Zendesk, Intercom, HubSpot and Salesforce. The channels it names for deployment are webchat, WhatsApp and Slack.

Where it beats Voiceflow: it leans harder into support, and the pricing page is public and counts usage in conversations, with a free plan on the list. If you're comparing Botpress with Voiceflow, that transparency is the first practical difference you will notice.

Where it's weaker: the voice story. The channel list on its home page doesn't include phone calls, so if voice is a hard requirement, check the docs before committing.

Who it's for: support teams that want a web or messaging bot and want to see the price before talking to sales.

Rasa

Rasa is the developer-controlled option. The open-source repository is licensed under Apache 2.0, and its README says Rasa Open Source is in maintenance mode, pointing newer work to the CALM approach and Hello Rasa. The company's docs say the licensed distribution can carry the "Rasa Pro" name, and that a free Developer Edition license covers local and production use up to a stated monthly conversation limit.

Where it beats Voiceflow: you can run it in your own infrastructure, and the code is yours to inspect. That matters for regulated teams. If you're weighing Rasa against Voiceflow, the real question is whether you have engineers who want that control.

Where it's weaker: it is a framework, not a drag-and-drop canvas for support managers. Expect to write code and to read the licence terms for the product you actually deploy, because the open-source repo and the licensed platform are not the same thing.

Who it's for: engineering-led teams with data-residency or self-hosting requirements.

Microsoft Copilot Studio

Copilot Studio is Microsoft's no-code platform for building agents. Microsoft's own page says what was formerly Power Virtual Agents is now included in Copilot Studio, and that you can build chat or voice agents and publish them internally, to social channels or to websites.

Where it beats Voiceflow: it sits inside the Microsoft stack, so an IT team already on Microsoft starts from familiar ground.

Where it's weaker: outside Microsoft's ecosystem it has less to offer, and the page doesn't describe phone telephony.

Who it's for: internal helpdesk and employee-service agents at Microsoft-centered companies.

Voice-first platforms

If your agent's job is to pick up the phone or place a call, a platform built around telephony usually gets you further than a chat builder with voice added.

Retell AI

Retell AI is built for AI voice agents that handle inbound and outbound calls, including booking appointments and transferring callers to humans. It also lists chat, SMS and API channels. Its pricing is metered per minute for voice and per message for chat, and the per-minute rate bundles the model, voice, and telephony costs.

Best for: teams that want a managed platform for phone agents without assembling the stack.

Vapi

Vapi is the developer-first option. It calls itself "API-native by design," and its pricing page bills per minute with provider costs passed through on top of its hosting fee. That lets you pick your own speech-to-text, language model and voice, at the price of doing the integration thinking yourself.

Best for: engineers who want to swap components and see every line item.

Synthflow

Synthflow describes itself as a full-stack voice AI platform for enterprise phone automation, with a visual Flow Designer for building agents and its own telephony network. Its pricing page says final pricing is scoped around call volume, concurrency, telephony setup and other factors, so expect a sales conversation rather than a self-serve checkout.

Best for: operations teams that want a visual builder aimed at phone calls specifically.

Bland

Bland is also an enterprise voice AI platform for inbound and outbound phone agents, running on its own infrastructure. On its pricing page, the per-minute rate covers the language model, speech-to-text and text-to-speech, with telephony billed separately.

Best for: teams that want one vendor responsible for the whole call stack.

Where voice-first tools are weaker than Voiceflow: they are phone tools. If the same agent also needs to live on your website and in WhatsApp, you'll be stitching together two products.

Enterprise contact-center platforms

These make sense when the agent has to sit inside a large, existing customer-service operation.

• Google's Dialogflow CX and Conversational Agents. Google's Dialogflow docs list Conversational Agents as a new console that replaces the Dialogflow CX console, with generative playbooks and flows. The same page marks the older CX console as deprecated, while the CX agent type and its documentation keep the Dialogflow CX name. Expect some naming overlap while Google finishes the migration.
• Amazon Lex. Lex builds voice and text interfaces and integrates with Amazon Connect, AWS's cloud contact center. It's billed pay-as-you-go, metered per API request. The natural fit is a team already living in AWS.
• Kore.ai. Kore.ai is an enterprise agentic AI platform covering customer experience and employee experience, and lists voice and digital agents among its offerings.
• Cognigy. NiCE announced the closing of its Cognigy acquisition on September 8, 2025, and says Cognigy is available both as part of the CXone platform and as a standalone solution. If your contact center already runs on NiCE, that's the shortest path.

Where these beat Voiceflow: integration depth with an existing telephony and CRM stack, and procurement departments that already know the vendor.

Where they're weaker: setup time. None of these is a tool you spin up on a Friday afternoon.

Where Voiceflow is still the better choice

Voiceflow remains a strong pick when you need the same agent on several channels, want business people and engineers working in one visual tool, and care about development, staging and production environments. Its pricing page splits into an agency offering with usage-based billing and a business offering where pricing is on request, so a small team that wants a self-serve checkout may find the sales step a hurdle. If that describes you, a tool with a public price list will feel easier. If it doesn't, you may not need to leave.

Call recording and AI disclosure

This is a business-risk note, not legal advice, and you should talk to a lawyer before launching a calling agent.

• Recording. Rules on recording calls differ by country and, in some places, by state. Some jurisdictions require every party's consent. A vendor's compliance badge describes the vendor's controls, not your legal position.
• Outbound AI calls. In February 2024 the FCC issued a declaratory ruling confirming that the Telephone Consumer Protection Act's restrictions on an "artificial or prerecorded voice" cover current AI technologies that generate human voices, so such calls require the called party's prior express consent unless an emergency purpose or exemption applies. That applies to the United States; other countries have their own rules.
• Disclosure. Even where the law doesn't demand it, telling callers up front that they're speaking with an AI is cheap insurance against complaints.

How to choose

1. Pick the channel first. Website and messaging: Botpress, Copilot Studio or Voiceflow. Phone: Retell, Vapi, Synthflow or Bland. Existing contact center: Dialogflow, Lex, Kore.ai or Cognigy.
2. Decide who builds. Support managers building visually points to Voiceflow, Botpress or Synthflow. Engineers who want control point to Vapi or Rasa.
3. Read the pricing model, not the headline. Per-minute voice billing, per-conversation chat billing and contract pricing are not comparable until you model your own volume.
4. Check where it runs. If data has to stay inside your infrastructure, Rasa's self-hosting approach is the one to look at first.

If you're still working out whether you need a bot at all, our guide to what a service agent actually does is a good place to start, and the technical support virtual agent walkthrough shows what a demo should prove before you buy. For the chat-widget end of the market, see our Chatbase alternatives.

Where Taku fits

None of the tools above is something you set up in an afternoon, and that's the gap Taku is aimed at. It's an AI-native desktop workspace where you find an AI app, skill or workflow someone has already built, mirror it into your own workspace, run it, and remix it, without setting up GitHub repos, dependencies or API keys yourself. It isn't a replacement for a production voice or support platform. Taku is in Beta, and the Mac app is available now; there's also an experimental, unsigned Windows build for Windows 10 and 11. The free app library shows what that looks like in practice.

FAQ

What is the best Voiceflow alternative for voice agents?

For phone calls, Retell AI, Vapi, Synthflow and Bland are the platforms built around telephony. Retell and Bland are managed platforms; Vapi is aimed at developers who want to choose each component.

Botpress vs Voiceflow: which is better?

Botpress leans toward support chatbots on web chat, WhatsApp and Slack, with public conversation-based pricing. Voiceflow lists voice among its channels and positions itself across CX teams. If you need voice on one agent, check Voiceflow first; if you want a support bot with a visible price list, start with Botpress.

Rasa vs Voiceflow: what's the difference?

Rasa's open-source repository is Apache 2.0 and in maintenance mode, and its newer platform is licensed, with a free Developer Edition up to a monthly conversation limit. Voiceflow is a hosted platform with a visual builder. Rasa gives you control and self-hosting; Voiceflow gives you speed and a shared canvas.

Is Voiceflow still available, and has it been acquired?

Voiceflow's own site currently presents it as an enterprise AI agent platform and mentions no ownership change. Check its blog and newsroom before signing a contract, since this category has seen acquisitions, Cognigy above being one.

What is the difference between Dialogflow CX and Conversational Agents?

According to Google's docs, Conversational Agents is a new console that replaces the Dialogflow CX console for building agents with generative playbooks and flows. The CX agent type still carries the Dialogflow CX name, and Google notes that some products are being renamed.

Do I need to tell callers they're talking to an AI?

Rules vary by country and state, and this isn't legal advice. In the US, the FCC has said AI-generated voices count as artificial under the TCPA, which brings consent requirements for calls that use them. Ask counsel what applies to your use case.