Top 10 AI Voice Agents for 2025 (With Use Cases)

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Artificial intelligence is influencing voice-based interactions across industries. In fact, the global market for voice AI agents is forecasted to grow to a massive USD 47.5 billion, at a CAGR of about 34.8%. 

With deep learning capabilities, AI-powered voice agents have moved beyond simple appointment scheduling to more complex tasks like troubleshooting technical issues using guided workflows, resolving conflicts, and assessing customers’ intent and budget to propose relevant products and solutions.

In this article, we’ll explore the top AI voice agents and how they are helping businesses make smarter, data-driven decisions while improving customer experiences.

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AI Voice Agents at a Glance

Here’s a quick comparison table of all the tools that made it to our list 👇

ToolBest forBest featuresPricing
ClickUpProductivity-first teams wanting voice-powered task management Team size: AnyAI Agents, Talk-to-Text, Meeting Notetaker, Workspace SearchFree forever, Paid plans from $7/month
ElevenLabsUltra-realistic voice cloning and TTS Team size: Creators, support teamsVoice cloning, RAG, Dynamic Variables, Low latencyFree plan, Paid plans from $5/month
LindyAutomating no-code voice workflows Team size: SMBs, ops teamsVisual builder, Multi-agent flows, 4000+ integrationsFree plan, Pro from $49.99/month
DeepgramDevelopers building custom AI voice tools Team size: Tech-heavy orgsASR/TTS APIs, Audio Intelligence, Mid-call controlsFree tier, Paid from $4K/year
SynthflowVisual voice agent flow design Team size: Agencies, sales teamsDrag-drop builder, Voice tuning, App triggersFree trial, Plans from $450/month
VapiBuilding scalable AI voice infra Team size: Dev teams, call infraReal-time voice infra, Sandbox testing, GuardrailsFree, Pay-as-you-go, Enterprise pricing
Retell AIRunning batch calls and monitoring calls Team size: Enterprise BPOsBatch calling, Branded caller ID, AnalyticsFree, From $0.07+/min, Enterprise pricing
CognigyEnterprise call centers Team size: Large call opsCall routing, Payment during call, Long memoryCustom pricing
Murf.aiStudio-quality AI voiceovers Team size: Creators, marketersVoice editor, Canva/Slides integration, Voice syncFree, Paid from $29/month
BlandScalable outbound voice campaigns Team size: Sales, healthcare opsVisual builder, CRM actions, Auto-scaling infraCustom pricing
*Please check the tool’s website for the latest pricing.
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What Should You Look for In AI Voice Agents?

The right choice depends entirely on your specific use case and business requirements. However, there are some must-have factors to consider:

  • Latency and real-time performance: Prioritize low-latency voice AI agents. If your use case requires natural conversations, aim for a response time under 800 milliseconds
  • Accuracy and reliability: Look for an AI voice agent that can accurately transcribe human speech, even with different languages, accents, and background noises
  • Customization and control: Determine the level of control you want over your AI voice, whether it’s adjusting voice characteristics, selecting AI models, or training it on your internal knowledge base to maintain brand consistency
  • Integrations: Pick a tool that is easy to connect with your existing systems, including CRMs, helpdesks, and other databases with built-in connectors and APIs
  • Security and compliance: Look for security features like end-to-end encryption and redaction of personally identifiable information (PII) and adherence to standards like SOC 2 and GDPR

How we review software at ClickUp

Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.

Here’s a detailed rundown of how we review software at ClickUp.

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The Best AI Voice Agents

1. ClickUp (Best for teams needing productivity + AI voice integration)

ClickUp, the everything app for work, reduces work sprawl and combines tasks, projects, documents, goals, and chat into a single, collaborative workspace.

ClickUp Brain is an AI assistant built into ClickUp to boost productivity and integrate voice capabilities into project management. 

With ClickUp Brain, you can:

  • Brainstorm ideas, create briefs, and delegate tasks 
  • Create meeting notes for weekly sprints
  • Build custom AI agents for any task without code
  • Search across tasks, docs, chats, and tools to get instant answers with full context
  • Talk to get tasks done across your workspace

Think of it as a central intelligence connecting every corner of your work. Core to Brain are AI agents and Talk-to-Text features.

ClickUp AI Agents are autonomous, intelligent assistants that can reason, respond, and execute tasks across your workspace. You can create an agent to answer team questions, automate repetitive tasks, or build custom agents from scratch for your unique business needs. 

Because our agents rely solely on internal apps, like ClickUp Docs and ClickUp AI Notetaker, as living knowledge bases, every action is backed by reliable and up-to-date information.

ClickUp AI Agents : AI Voice Agents
Create and deploy ClickUp AI Agents that can reason, respond, and execute tasks across your workspace

Use ClickUp’s Talk-to-Text feature to integrate voice capabilities into your workspace.

Let’s say you want an update from a team member. Simply press ‘fn’ and speak as if you’re talking to your assistant, ‘Can you ask Jamie to prioritize the Sprint planning doc and share it with me by Tomorrow 5 PM,’ and ClickUp Brain auto-links the right people, docs, and tasks.

ClickUp’s talk-to-text
Speak who, when, and what you want to convey, let ClickUp’s talk-to-text feature mention people, link documents, and schedule events. 

What’s more, you can even talk-to-text from your Android or iPhone devices. Dictate notes, tasks, and documents without worrying about uneven pauses or fumbles. With AI Auto-Edit, ClickUp polishes text in real-time. Our tool supports over 50 languages and understands context-aware @mentions and links to connect work.

ClickUp best features

  • ClickUp AI Agents: Create and deploy no-code AI agents to automate tasks, provide autonomous answers, and manage projects. Use ready-to-use agents, like the Project Manager and Deadline Guardian, or create custom agents from scratch
  • ClickUp Brain Talk-to-Text: Speak to add any notes, tasks, and documents in your workspace. Our tool understands 50+ languages and converts speech-to-text in real-time with context-aware @mentions and links them automatically
  • ClickUp AI Notetaker: Generate AI meeting notes and transcriptions from Zoom, Google Meet, and Microsoft Teams meetings. Capture discussions, create summaries, and extract action items
  • Ask contextual questions on ClickUp Tasks and Docs: Use AI to get instant, context-rich answers from your entire ClickUp Workspace and connected apps like Google Drive and Salesforce

ClickUp limitations

  • The mobile app mirrors the feature-rich design of the web platform, and can sometimes be overwhelming

ClickUp pricing

free forever
Best for individual users
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Unlimited Tasks
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unlimited
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$7 $10
per user per month
Everything in Free +
Unlimited Storage
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Unlimited Integrations
business
Best for mid-sized teams
$12 $19
per user per month
Everything in Unlimited +
Google SSO
Unlimited Message History
Unlimited Mind Maps
enterprise
Best for many large teams
Get a custom demo and see how ClickUp aligns with your goals.
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* Prices when billed annually
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ClickUp ratings and reviews

  • G2: 4.7/5 (10,450+ reviews)
  • Capterra: 4.6/5 (4,500+ reviews)

What are real users saying about ClickUp?

Here’s a G2 review:

The new Brain MAX has greatly enhanced my productivity. The ability to use multiple AI models, including advanced reasoning models, for an affordable price makes it easy to centralize everything in one platform. Features like voice-to-text, task automation, and integration with other apps make the workflow much smoother and smarter.

2. Eleven Labs (Best for ultra-realistic text-to-speech and cloning)

ElevenLabs Agents Platform lets you deploy AI voice agents across web, mobile, or telephony in minutes. It creates some of the most realistic AI voices, not like the robotic interactions we’ve all grown tired of.

You can pick from over a thousand AI voices across 32 languages or choose to clone your own voice using a short (1-2 minute) sample for full control over brand voice.

Once your base voice is set, you can always adjust tone, accent, and pace for AI voices to suit different languages, regions, or customer types.

Notably, ElevenLabs’s voice agents use an optimized turn-taking model with ultra-low latency (~75ms+). This means they can understand pauses, overlaps, and interruptions to reframe responses in real-time. So when customers interrupt or talk over the agent, it responds just like you would in real conversations.

ElevenLabs best features

  • Use built-in Retrieval-Augmented Generation (RAG) to feed agents with internal company docs, FAQs, and URLs so they retrieve and provide on-brand answers
  • Add Dynamic Variables and Overrides to personalize interactions without handing sensitive customer data to the agent’s base configuration
  • Connect your agent to internal tools and APIs to trigger real-world actions like booking appointments or updating orders 

ElevenLabs limitations

  • While voice quality is high, some users find the voice dubbing feature to be average and note a lack of advanced customization options

ElevenLabs pricing

  • Free
  • Starter: $5 per month
  • Creator: $11 per month
  • Pro: $99 per month
  • Scale: $330 per month
  • Business: $1,320 per month
  • Enterprise: Custom pricing

ElevenLabs ratings and reviews

  • G2: 4.5/5 (700+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Elevenlabs?

Here’s a G2 review:

What I like most about ElevenLabs is the incredible quality and realism of the voices. They sound natural, engaging, and highly versatile, making them perfect for professional projects.

3. Lindy (Best for automating complex business workflows)

Lindy
via Lindy

Lindy is a no-code AI assistant platform that helps you automate business processes using powerful agents. The tool offers the simplest approach to building voice AI agents.

You can configure call flows using a visual builder where you can simply drag-and-drop steps, connect them using logic branches, and decide what triggers an action.

Basically, you get complete autonomy over how agents interact, who they notify, and what they do next. The autonomy is effective for predictable calls, like IVR workflows, appointment scheduling, and more.

Beyond voice interactions, Lindy helps you automate post-call tasks. You can add workflow steps to log calls, update CRM records, send conversation summaries, and trigger actions across thousands of apps and services.

Lindy best features

  • Choose from ready-to-use voice AI agent templates or describe your voice flow to Lindy AI and let it build for you in just a few minutes
  • Design multi-agent workflows that let one agent start conversations and route calls to another
  • Integrate and connect your AI workflows with 4000+ third-party apps, including CRMs, databases, phone systems, and more

Lindy limitations

  • Since it is not a typical voice AI agent, it lacks the nuances and feature set required for real-time voice interactions

Lindy pricing

  • Free
  • Pro: $49.99 per month
  • Business: $199.99 per month
  • Enterprise: Custom pricing

Lindy ratings and reviews

  • G2: 4.9/5 (100+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Lindy?

Here’s a G2 review:

I like how intuitive and user-friendly Lindy is. The automation flows are easy to build, and the AI assistance makes lead generation and follow-up much faster.

4. Deepgram (Best for API-first AI voice agents)

Deepgram is a voice AI platform built for developers who want complete control over their setup. 

It provides a single, plug-and-play voice API that you can embed into your telephony system, website, or app. The API bundles Deepgram’s popular speech recognition and voice synthesis models.

You can rebuild your voice API stack and bring your own LLM and text-to-speech models for better control and customization.

However, unlike no-code agent builders, you need solid backend development skills to manage business logic, user workflows, and app-specific functions.

Deepgram best features

  • Transcribe phone calls with noisy backgrounds, like busy offices or call centers, with the human speech recognition model
  • Orchestrate voice agent using barge-in detection, turn-taking prediction, function calling, and mid-session control for smooth phone calls 
  • Use built-in Audio Intelligence to detect sentiment, recognize speaker intent, summarize conversations, and identify key topics

Deepgram limitations

  • Fast or overlapping speech can mess up the punctuation and structure of the output, which means users have to clean it up manually at times

Deepgram pricing

  • Free
  • Growth: $4k+ per year
  • Enterprise: Custom pricing

Deepgram ratings and reviews

  • G2: 4.6/5 (300+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Deepgram?

Here’s a G2 review:

The transcription quality is solid, even when the audio isn’t crystal clear. It handles real-time audio really well, and the streaming API has super low latency, which is a huge plus for live apps.

5. Synthflow (Best for visual conversation flow designer)

With Synthflow, you can build AI agents using natural language prompts, or switch to the drag-and-drop flow designer for full control over call flow and logic. 

Once the logic is set, the tool lets you customize agents for the AI model they use and how they interact with customers. 

With support for 30+ languages and built-in voice editing, you can configure AI voices for industry-specific jargon, custom vocabulary, speaking speed, interruption handling, and more.

For large agencies or businesses managing multiple clients, Synthflow allows deploying white-label agents under different subaccounts.

Synthflow best features

  • Choose from ready-to-use AI voice agent templates for live calls, including inbound support calls and sales calls, or build custom voice agents using the flow designer
  • Trigger actions across 200+ apps, including phone systems, CRMs, and calendars, by adding them as steps to the agent workflow
  • Deploy AI voice agents with guardrails that ensure AI pulls data from approved knowledge sources for accurate, brand-safe replies

Synthflow limitations

  • Some users report a high latency rate and an inability to continue conversations if interrupted mid-sentence

Synthflow pricing

  • Free trial available
  • Pro: $450 per month
  • Growth: $900 per month
  • Agency: $1400 per month
  • Enterprise: Custom pricing

Synthflow ratings and reviews

  • G2: 4.5/5 (800+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Synthflow?

Here’s a G2 review:

I really like how quickly you can create an AI call flow that sounds natural and conversational. The ability to design branching logic for different lead responses makes it feel like a real human agent is handling the call. Plus, I can automate actions like qualify leads, book appointments, and more.

6. Vapi (Best for developer-first API for voice products)

Vapi : AI Voice Agents
via Vapi

​​Vapi is a developer-first platform for building programmable, highly configurable voice AI products at scale. Its API-first approach allows teams to define how calls are handled using custom code, with deep control over logic and prompts.

The tool’s real-time audio infrastructure delivers sub-500ms latency even while handling thousands of concurrent calls every day. Plus, built-in conversation guardrails prevent model hallucinations, so conversations stay natural and regulated at the same time. 

Vapi works well with external TTS/ASR engines, allowing you to mix-and-match providers like ElevenLabs for voice and Deepgram for ASR. For teams that want control over call routing and precise billing, Vapi is a good fit.

Vapi best features

  • Pick from 1000s of ready-to-use voice agent templates, or configure the voice API to control agent’s voice, logic, and behavior
  • Use the built-in sandbox to simulate or test AI agents with different variations of prompts, voices, and flows before going to production
  • Handle mid-call interruptions smoothly with tools like mid-call barge-in, guardrails, and context passing

Vapi limitations

  • Requires developer involvement for complex workflows and system integrations

Vapi pricing

  • Free
  • Pay As You Go: Usage-based
  • Enterprise: Custom pricing

Vapi ratings and reviews

  • G2: Not enough reviews
  • Capterra: Not enough reviews

7. Retell AI (Best for batch call deployment and monitoring)

Looking for an enterprise-focused platform for building, testing, and monitoring scalable AI voice agents? Retell AI can handle high call volumes with built-in features like batch calling, branded caller ID, and concurrent calling.

You can build agents using both a visual conversation flow builder and deep developer capabilities through its API.

Agents auto-sync with your existing knowledge base, like websites or docs, and have a native turn-taking model to handle interruptions during real conversations. However, you can expect ~ 800ms latency, higher than the industry benchmark. 

Retell AI best features

  • Use batch-calling tools to run outbound campaigns with branded caller ID, conversion tracking, and verified phone numbers so your calls aren’t marked spam
  • Bypass IVR systems with voice agents that can understand context and press the right digits in the right direction
  • Monitor call campaigns, track success rates, analyze user sentiment, and overall call latency with a centralized dashboard

Retell AI limitations

  • Voice cloning is not natively supported, and speaker customization options are limited

Retell AI pricing

  • Free 
  • Pay-as-you-go: $0.07+ per minute
  • Enterprise plan: Custom pricing

Retell AI ratings and reviews

  • G2: 4.8/5 (600+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Retell AI?

Here’s a G2 review:

What we like most about Retell AI is its ability to offer incredibly natural voice interactions thanks to its real-time synthesis and transcription models. In our AI agent projects, especially with clients, it has been a key solution for achieving smooth, accurate, and scalable conversational experiences.

8. Cognigy (Best for contact center call operations)

An enterprise-grade conversational AI platform, Cognigy is designed for contact centers and large enterprises handling thousands of calls every day.

The tool goes beyond simple IVR flow and provides a visual, drag-and-drop builder for creating voice agents with advanced routing, fallback, and escalation rules, all designed for high-volume use.

You can also use it to build agents for different purposes, like self-service voice agents, digital chat agents, and even an ‘Agent Copilot’ that assists your human reps in real-time.

Voice analytics is built in. So you can monitor performance and optimize each agent’s success in real-time. This makes it great for sectors like banking or telecom, where complex call handling is needed.

Cognigy best features

  • Allow customers to capture photos, share locations, execute payments, submit signatures, and more during calls
  • Integrate voice AI with major telecom systems (Genesys, Avaya, etc.), data sources, CRM, and ERP tools
  • Handle prolonged calls without losing context with real-time sentiment analysis and long-term memory retention

Cognigy limitations

  • Lacks a truly no-code interface, and may require technical skills like API, JavaScript, HTTP, etc., for building custom extensions

Cognigy pricing

  • Custom pricing

Cognigy ratings and reviews

  • G2: Not enough reviews
  • Capterra: Not enough reviews

9. Murf.ai (Best for social content voiceovers)

Murf.ai focuses on studio-quality AI voiceovers and is designed for content creators who need realistic narration for videos, courses, podcasts, or marketing ads.

It has over 200+ realistic AI voices in more than 20 languages and accents, customizable for pitch, speed, and emphasis. Plus, it features tools for voice cloning, AI dubbing, and a voice changer.

However, Murf doesn’t build complete voice agents. It only provides the text-to-speech component that you can integrate into other workflows or use as a standalone IVR system. 

Murf.ai best features

  • Use the built-in voice editor to tweak pronunciation, stress words, adjust speed, or add pauses, without extra audio tools
  • Add voiceovers to your projects directly within platforms like Canva, PowerPoint, and Google Slides
  • Use the Timeline Editor to perfectly sync voiceover audio with slides or videos

Murf.ai limitation

  • Some voice tones sound slightly robotic in certain languages or complex scripts

Murf.ai pricing

  • Free
  • Creator: $29 per month
  • Business: $99 per month
  • Enterprise: Custom pricing

Murf.ai ratings and reviews

  • G2: 4.7/5 (1,400+ reviews)
  • Capterra: Not enough reviews

What are real users saying about Murf.ai?

Here’s a G2 review:

It creates natural-sounding AI voices with easy customization, offering many languages and styles perfect for making professional voice covers quickly and easily.

10. Bland (Best for scalable outbound call campaigns)

Bland : AI Voice Agents
via Bland

If you are looking for an AI platform that lets you automate outbound calling with human-like voice agents, Bland is a good choice. You can design live call flows using a visual builder with custom paths, triggers, and actions that connect to your existing tech stack—like updating your CRM or booking calendar appointments.

With built-in conversation controls, the tool prevents agents from going off-script or handling topics outside their scope. You can also customize how agents interact by providing sample dialogue and customer context.

While Bland can handle open-ended calls, the process is not transparent, which raises the risk of compliance. That said, it’s perfect for inbound support calls, like appointment booking, information intake, verification calls, etc. 

Bland best features

  • Use a visual flow builder to build and control agent conversation flows, ensuring agents stay on-brand
  • Connect the AI agent to your CRM or other tools to take actions like booking appointments or updating customer records in real-time
  • Handle massive outbound call campaigns with an auto-scaling infrastructure that can manage high volumes

Bland limitations

  • Ethical and transparency concerns after independent tests showed agents might be scripted to hide their AI nature

Bland pricing

  • Custom pricing

Bland ratings and reviews

  • G2: Not enough reviews
  • Capterra: Not enough reviews
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How AI Voice Agents Work?

AI voice agents work through an advanced, real-time process that turns spoken words into intelligent actions and then converts responses back into natural-sounding speech.

The process consists of four key stages :

  • Automatic Speech Recognition (ASR): This is the ‘ears’ of the agent. When a user speaks, the ASR model captures the audio and transcribes it into text
  • Natural Language Processing (NLP) and Understanding (NLU): Once the speech is converted to text, NLP algorithms analyze it for meaning. They recognize intent, identify goals, and pull out key details like dates or names to understand the context 
  • Response generation with Large Language Models (LLMs): After understanding the user’s request, the agent uses an LLM, like GPT-4, to formulate a relevant and contextual response
  • Text-to-Speech (TTS) synthesis: The LLM’s text response is converted back into audible speech using a TTS engine. Modern TTS systems are highly advanced, managing the rhythm, stress, and intonation of speech to produce natural and human-like speech as output
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Benefits of Using AI Voice Agents

Integrating voice AI agents into business operations has many strategic advantages:

  • Cost savings and increased efficiency: By handling repetitive calls, an AI phone agent reduces per-call cost and frees up human agents to focus on high-value, complex customer issues
  • 24/7 availability and global coverage: Unlike human agents, AI phone agents can handle multiple calls in diverse languages without getting tired or losing it to time zone differences
  • Improve customer satisfaction (CSAT): Eliminate frustrating wait times for good. By providing immediate answers and instant resolutions to common questions, you enhance customer satisfaction and build loyalty
  • Enhance data collection: AI phone agents make it easy to collect, process, and store data. Some tools also allow callers to submit signatures, execute transactions, and capture photos over the call
  • Real-time call transcripts and insights: A voice agent automatically handle post-call tasks. It transcribes, logs, and analyzes calls for customer sentiments, common pain points, and provides a detailed report for every call
  • Personalization at scale: Voice AI agents can access your CRM and other business systems to personalize interactions. They can greet customers by name, reference past interactions, and offer recommendations, creating a more personalized experience 
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Best Use Cases for AI Voice Agents

Here are some areas where AI voice agents have a high adoption rate.

1. Customer service

AI voice agents can instantly respond to customer questions, provide order updates, answer order-tracking queries, and process return requests 24/7. 

2. Project management

With general PM tools, it takes around 5-7 painful clicks to get an update on a task. What if you can use your voice to dictate tasks and let AI work in your workspace? 

ClickUp’s Talk-to-text feature eliminates the need for transcription software, helps with internal meeting transcriptions, and acts as your personal AI assistant

3. Hospitality

Hotels and tour agencies extensively use AI in customer service to provide 24/7 phone assistance to travelers. Multilingual assistants can help customers from around the world when they are booking trips or confirming itineraries.

4. Appointment scheduling

Voice agents simplify appointment booking workflows by confirming or moving things around based on availability. They can also integrate with CRM and calendar tools to avoid double bookings.

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Frequently Asked Questions

Are AI voice agents better than chatbots?

Voice agents handle real conversations and answer questions over calls. Chatbots handle conversations over text. Choose voice when latency, audio prosody, and telephony integration matter. Many production systems combine both for omnichannel coverage.

Which AI voice agents support multiple languages?

ClickUp supports translation and localization in multiple languages, such as English, French, German, Italian, Swedish, Dutch, Korean, and more. ElevenLabs and Murf provide multilingual TTS. Deepgram supports many ASR languages.

Can AI voice agents be trained for industry-specific vocabulary?

Yes. Agents can be fine-tuned to any spoken language and deployed with pronunciation lists or knowledge bases to handle jargon and product names.

How much do AI voice agents cost?

Expect per-minute charges for voice plus separate ASR and TTS costs. Orchestration layers may add platform fees. Run a pilot, simulate expected minutes and concurrency, and build a cost model before committing.

What is the best AI voice agent for small teams?

ClickUp is a great choice if you want to convert voice commands to workflows and automatically summarize, transcribe, and capture action items from meetings.

How secure are AI voice agents for sensitive information?

Security depends on vendor controls: SOC 2, HIPAA, encryption, and VPC/on-prem options. Choose vendors that publish certifications and offer appropriate deployment models for sensitive information.

Can AI voice agents work offline?

Some vendors provide on-prem or edge deployments for ASR or TTS. Full offline stacks are complex and expensive. If you need offline operation, prioritize vendors with on-prem or private cloud options.

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