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6 Best AI Call Bots and Phone Agents in 2025

6 Best AI Call Bots and Phone Agents in 2025

Flo Crivello
CEO
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Michelle Liu
Written by
Lindy Drope
Founding GTM at Lindy
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Jack Jundanian
Reviewed by
Last updated:
June 2, 2025
Expert Verified

AI call bots are popular among teams handling high volumes of outbound or inbound calls. Tools like Lindy and Vapi let you create AI agents that can answer calls, qualify leads, book meetings, or respond to common questions.

These bots use speech recognition, natural language processing, and logic to carry on real conversations and take action based on what’s said.

Here's what you'll find in this guide:

  • What are AI call bots and how do they work?
  • Real-world use cases across industries 
  • The 6 best AI call bot platforms in 2025
  • What to look for when comparing tools
  • How to figure out which one fits your team

Let's start with a quick definition.

What is an AI call bot?

An AI call bot is an AI-powered voice software agent that can handle conversations over the phone. It listens, understands what the caller says, responds intelligently, and even takes action, like updating your CRM or booking meetings. 

Instead of needing a human agent to pick up every call, businesses can deploy AI call bots to automate routine conversations, lead follow-ups, appointment reminders, and more.

Difference between AI call bots and IVRs

Traditional IVR systems and basic phone bots rely on rigid menus. AI call bots interpret natural speech, adapt based on the caller's intent, and can hold two-way conversations without forcing the caller into a menu tree.

These AI call bots use Natural Language Processing (NLP) and speech synthesis. They recognize words and understand tone, sentiment, and the context of a conversation and interact accordingly.

Next, let’s understand how they work.

How do AI call bots work? 

AI call bots use a combination of speech recognition, natural language processing (NLP), decision-making engines, and natural-sounding speech generation. 

Let’s break it down step-by-step:

  1. The bot uses speech-to-text (STT) technology to convert the caller’s spoken words into text. 
  2. Once the words are captured, natural language processing (NLP) and a large language model (LLM) step in to understand their meaning, not just the words themselves, but the context, sentiment, and intent.
  3. Once it understands the input, the bot uses pre-programmed logic to decide what to do next. It might ask a follow-up question, schedule an appointment, or escalate to a human. That decision happens in real time, powered by its internal logic engine.
  4. Finally, the bot replies using text-to-speech (TTS) systems that make the response natural and conversational, with no awkward robotic voices.

Because of this tech, AI call bots can handle complex interactions. Here are a few examples:

  • Asking clarifying questions 
  • Offering self-service options based on the conversation
  • Escalating the call to a human if the situation requires more nuance
  • Triggering backend actions like sending an SMS, updating a CRM, or logging a support ticket

But where are these AI call bots used? Let’s explore.

Industry use cases for AI call bots

Businesses across industries use call bots to save time, improve customer experiences, and handle work that used to tie up human reps.

Here’s where they shine the most:

Sales

AI call bots can handle the first touch, asking qualification questions like budget, timeline, or decision-maker status. If a lead looks promising, the bot can schedule a meeting or send them straight to a human closer. If not, it can politely thank them and move on.

Call bots can also automatically leave voicemails for leads who don’t answer, saving sales teams from manually leaving the same messages for hours a day. For businesses running large outbound campaigns, adding an outbound sales automation layer can help efficiency.

Support

Customers can speak to a phone bot that can pull up answers instantly. Whether checking an order status, resetting a password, or updating account info, AI call bots can handle most tier-one support requests without transferring to a live agent.

And when a situation needs human help, like complex troubleshooting, the bot can quickly route the call to the right department.

Healthcare

Missed appointments are expensive for healthcare providers. AI call bots help by reminding patients about upcoming visits, offering rescheduling options, and gathering intake information like insurance details or pre-appointment instructions.

Recruiting

Instead of recruiters manually calling every candidate, call bots can run the first round of screening questions. Are they available full-time? Do they have the required certifications? Are they ready to relocate?

If the answers match the job requirements, the bot can automatically schedule an interview or pass the candidate to a recruiter. 

Real estate

Agents don’t always have time to chase every inquiry. AI call bots can help by following up with leads who filled out a property interest form, confirming upcoming showings, or even checking if the client wants to book another viewing.

They can also help by sending quick reminders, like the time and address of a showing, to reduce no-shows and keep the sales pipeline moving smoothly.

Now that we know the use cases, let’s see some of the benefits they provide.

Benefits of using AI call bots

These bots solve business problems that slow teams down, drive up costs, and frustrate customers.

Here’s a breakdown of where they add the most value:

  • 24/7 availability: AI call bots work all the time. Whether a lead calls after your team signs off or a customer needs help at midnight, the bot is ready to pick up and handle the conversation.
  • Reduce workload on human agents: Every repetitive call a phone bot handles is one less interruption for your sales or support teams.
  • Eliminate hold times and transfer loops: Smart AI call bots listen to the customer’s request, determine whether it can be solved on the spot, and escalate only when needed. 
  • Handle multiple calls at once: These bots can manage hundreds of AI phone calls at once without getting overwhelmed. This makes them ideal for businesses with unpredictable call surges, like seasonal sales or marketing campaigns.
  • Improve response consistency: A well-trained bot never forgets a policy, misspeaks, or gives a wrong answer. Every caller gets consistent information.
  • Lower customer service costs: Hiring, training, and managing large phone teams is expensive, especially when much of the work is repetitive. AI call bots take over many of these tasks at a fraction of the cost.
  • CRM and helpdesk integration: AI call bots can automatically log calls, update lead statuses, trigger follow-ups, and create tasks in tools like Salesforce, HubSpot, Zendesk, and Slack.
  • Smart retries and multilingual support: If a call is unanswered, bots can retry based on custom rules, like better time-of-day targeting or different numbers. Many AI call bots also support conversations in multiple languages.

We know AI call bots are beneficial and helpful for industries. Now, we’ll explore the tools best suited for these applications.

The 6 best AI call bot platforms in 2025

Only a few tools deliver a conversational experience combined with smart backend workflows. Here’s a quick look at the top platforms:

  1. Lindy — best for human-like phone agents with workflow automation
  2. Synthflow — best for fast outbound campaigns
  3. Bland AI — best for customizable enterprise-grade phone agents
  4. Phonecall.bot — best for realistic AI voices and easy setup
  5. VoiceSpin — best for outbound call centers and predictive dialing
  6. Aivo — best for customer support across channels

1. Lindy – best for human-like phone agents + workflow integration

Lindy helps businesses create AI phone agents to handle inbound and outbound calls. They can understand what callers are saying, respond conversationally, and trigger actions, like sending follow-up emails, updating CRM records, or notifying a Slack channel.

Lindy ties each conversation back to your workflows, making sure important updates are accounted for. You can also use Lindy’s drag-and-drop builder to customize how calls are handled — qualifying a lead, answering support FAQs, or following up on missed calls. 

If you already use CRMs, calendars, or internal systems, Lindy's integrations make connecting everything straightforward. 

Lindy supports 30+ languages on Business and Enterprise plans. The Pro plan is English-only. It offers call recording, lets you set up retries for unanswered calls, and works well for teams scaling customer outreach, sales, or support.

Who it’s for

Lindy is a good fit for B2B teams, SaaS companies, healthcare providers, and service-based businesses that need scalable, reliable phone agents but don’t want to manually manage separate workflows after every call.

Pros

  • Human-like conversations
  • Native integrations with CRMs like Salesforce, HubSpot, and Airtable
  • No-code setup with customizable call logic and post-call workflows
  • 24/7 availability
  • 30+ languages for AI voice agents

Cons

  • A bit of a learning curve for advanced customizations

Pricing

  • Pro plan: $49.99/month, up to 5,000 tasks, supports English
  • Business plan: $299.99/month, up to 30,000 tasks, 30+ languages
  • AI phone numbers (also called bot phone numbers): $10/month per number.
  • Calling rates start at ~$0.19/min for US-based calls using GPT-4o. They vary depending on the country and model you use. Cheaper models like GPT-4 Turbo cost less.

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2. Synthflow – best for fast outbound campaigns

Synthflow lets you create AI voice agents using a no-code builder. You can set up outbound calling flows for lead follow-ups, appointment confirmations, or basic surveys. 

The platform supports over 130+ languages and includes 500+ realistic AI voices, making it useful for teams targeting different markets. Synthflow is built for quick, templated workflows. 

Who it’s for

Sales teams, agencies, and small businesses that run regular outbound campaigns — but don’t need deep CRM or workflow automations — will find Synthflow a good match.

Pros

  • Speedy setup with no technical skills required
  • Multilingual support
  • White-label options are available for agencies

Cons

  • Limited backend actions
  • Best suited for straightforward outbound flows

Pricing

3. Bland AI – best for customizable enterprise-grade phone agents

Bland AI lets you create AI call bots to manage conversations, follow logic trees, and interact with your backend systems. You can fine-tune the prompts, voice styles, and call handling rules to fit your processes, whether dealing with sales, support, or internal operations.

It also supports secure deployments with enterprise-grade privacy controls, making it a strong candidate for regulated industries like finance, insurance, or healthcare.

Who it’s for

Enterprises and mid-sized companies that want complete control over their AI agents — including what they say, respond, and connect to internal systems — will find Bland AI better suited than plug-and-play alternatives.

Pros

  • High customization for call flows and responses
  • Multilingual support
  • Strong privacy and security measures

Cons

  • Requires more setup and maintenance
  • Pricing isn’t transparent

Pricing

4. Phonecall.bot – best for realistic AI voices and easy setup

Phonecall.bot offers a no-code platform for designing conversational flows for your AI voice agents. It has access to over 60 hyperrealistic AI voices and supports conversations in 15+ languages.

You can use it for both inbound and outbound calls, setting up tasks like lead qualification, appointment reminders, or simple support interactions. It also connects with calendars and CRMs to automate follow-ups after calls.

Who it’s for

Small businesses, service providers, and teams that want natural-sounding phone bots — without needing to invest in developer resources — will find Phonecall.bot a practical solution.

Pros

  • Natural-sounding AI voices
  • No-code setup
  • Affordable for small to mid-sized teams

Cons

  • Limited backend workflow actions
  • Not for large-scale enterprises

Pricing

  • Plans start at $29/month for 60 minutes of calling

5. VoiceSpin – best for AI-powered call centers with outbound and inbound support

VoiceSpin is a contact center platform for both outbound sales and inbound support. It combines predictive dialing with AI-powered call routing, IVR, and analytics to improve call flows across your entire funnel.

Apart from dialing, VoiceSpin includes CRM integrations, smart pacing to comply with regulations, and real-time monitoring dashboards to track campaign performance.

Who it’s for

Outbound call centers, sales teams, and large lead generation operations that want a reliable, AI-enhanced dialer with built-in compliance tools will find VoiceSpin a good fit.

Pros

  • Predictive dialing to maximize agent productivity
  • CRM and helpdesk integrations
  • Real-time analytics and performance dashboards

Cons

  • Less suited for inbound workflows
  • Pricing flexibility can vary based on usage and setup needs

Pricing

6. Aivo – best for customer support across channels

Aivo allows companies to deploy AI voice agents that answer calls, resolve customer queries, and route issues to human teams when needed. 

The platform supports omnichannel messaging, so businesses can maintain consistency across channels. It also offers CRM integrations, reporting tools, and prebuilt flows for support FAQs, service updates, and appointment management.

Who it’s for

Businesses that want a single solution to manage voice calls and digital conversations together, especially support-heavy industries like banking, insurance, healthcare, and retail, will find Aivo a strong contender.

Pros

  • Omnichannel support
  • Integrations for CRM and helpdesk
  • Prebuilt flows to speed up setup

Cons

  • Voice capabilities aren’t as customizable as specialist platforms like Lindy or Bland AI
  • Advanced features require higher-tier plans

Pricing

  • Custom pricing based on your needs. Book a demo for more details

How did these tools end up on this list? Let’s answer it next.

How we tested these tools

An AI call bot’s real-world performance matters, especially when trusting an agent to talk to leads, customers, or patients on your behalf.

Here’s what we looked at while testing the platforms covered above:

Voice realism and natural conversation flow

One of the first things tested was how natural the bot sounded. Was it robotic, or could it hold a two-way conversation without making the caller feel like they were speaking to a machine? 

Platforms like Lindy and Phonecall.bot stood out here for their ability to adapt tone and phrasing based on the caller's words.

Handling interruptions and clarifying questions

Not every caller follows a perfect script. A good call bot must recover smoothly if someone interrupts, asks something unexpected, or changes topics mid-conversation. This is where models using stronger NLP, like those in AI voice agents, make a clear difference.

CRM and workflow integration

Managing the call is only half the job. The best platforms sync conversations to CRMs like HubSpot or Salesforce, create follow-up tasks, or trigger automations through tools like Slack. Deep integrations were a significant factor in long-term usability.

Ease of setup

Not every business has a developer on call. No-code options like Synthflow and Lindy made it much easier for teams to get started quickly without technical help.

Real-time call quality and reliability

Finally, we looked at call connection speed, voice clarity, and latency, ensuring no awkward delays would make conversations feel off.

Frequently asked questions

What is an AI call bot, and how is it different from a chatbot?

An AI call bot handles voice conversations over the phone, while a chatbot handles text-based interactions on websites, messaging apps, or support portals. Call bots must understand spoken language, tone, and interruptions, not just typed messages.

Can AI phone bots handle outbound calls?

Yes, many platforms like Synthflow, VoiceSpin, and Lindy are designed to handle outbound calling workflows. They can follow up on leads, send reminders, or even qualify prospects before handing them off to human reps.

Are AI call bots compliant with call recording or data laws?

Most serious platforms, especially ones like Lindy, are built with compliance in mind. They follow regulations like the TCPA for outbound calling and the GDPR for personal data protection, and often offer call recording disclaimers or consent tracking features.

What’s the best AI call bot for support teams?

For support-focused teams that want voice and digital messaging combined, Aivo is a strong option. Platforms like Lindy can offer more flexibility if you want deeper voice workflow customization tied directly into CRMs or helpdesks.

Can I integrate a call bot with HubSpot or Slack?

Yes. Several AI call bots, including Lindy and VoiceSpin, offer direct integrations with CRMs like HubSpot and communication tools like Slack. This helps tie voice conversations back into your broader workflows automatically.

Can AI call bots handle multiple calls at once?

Absolutely. Unlike human agents, AI call bots can manage hundreds of calls simultaneously without missing a beat. This makes them a good fit for businesses that deal with unpredictable spikes in call volume.

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Try Lindy, your AI voice call automation platform

If you’re looking for an easy-to-use AI voice calling platform that provides automations around voice, emails, meetings, and sales, go with Lindy

Out of all the voice automation tools, here’s why Lindy can be your best bet:

  • Simple no-code interface: You won’t need coding, programming, or technical skills to create your automations with Lindy — it offers a drag-and-drop visual workflow builder. 
  • AI agents customized to your needs: You can make versatile AI agents that understand plain English and accelerate your productivity in many ways. For instance, create an assistant that bolsters your sales funnel by finding leads from websites and business intelligence sources like People Data Labs. Create another agent that sends out emails to each lead and schedules meetings with members of your sales team. 
  • Affordability: Build your first few automations with Lindy’s free version and get up to 400 tasks. With the Pro plan, you can automate up to 5,000 tasks, which offers much more value than Lindy’s competitors.  

Try Lindy today for free.

About the editorial team
Flo Crivello
Founder and CEO of Lindy

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Education: Master of Arts/Science, Supinfo International University

Previous Experience: Founded Teamflow, a virtual office, and prior to that used to work as a PM at Uber, where he joined in 2015.

Lindy Drope
Founding GTM at Lindy

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Education: Master of Arts/Science, Supinfo International University

Previous Experience: Founded Teamflow, a virtual office, and prior to that used to work as a PM at Uber, where he joined in 2015.

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