AI voice assistants have evolved far beyond basic IVR systems. Today’s solutions can handle real conversations, qualify leads, answer customer questions, book meetings and even close sales. And they do it 24/7, without human agents.
Choosing the right AI voice assistant can dramatically impact efficiency and customer experience. It works for a startup looking to reduce support costs or even for an enterprise that wants to scale inbound and outbound calls.
Below are the 10 best AI voice assistants for businesses, covering a wide range of use cases, pricing tiers, and company sizes.
1. Google Dialogflow (Voice)
Google Dialogflow is a robust conversational AI platform designed for building intelligent voice assistants at scale. It uses advanced natural language understanding and Google’s speech-to-text technology to interpret user intent accurately, even in complex conversations.
Businesses can deploy Dialogflow-powered voice assistants across phone systems, IVR, and contact center environments, while maintaining context across interactions. With strong multilingual support and seamless integration into Google Cloud services, Dialogflow is best suited for enterprises and teams with developer resources looking to create highly customized voice experiences.
Pros:
Highly accurate language understanding
Enterprise-grade scalability
Strong developer ecosystem
Cons:
Requires technical expertise to implement
Can be expensive at scale
Not plug-and-play for small businesses
2. Amazon Lex
Amazon Lex is the AI voice engine behind Alexa and enables businesses to build voice-enabled conversational interfaces for customer service and transactional use cases. It combines automatic speech recognition with natural language understanding to allow voice assistants to understand spoken language and respond intelligently.
Lex integrates tightly with the AWS ecosystem, making it ideal for organizations already using AWS infrastructure and looking to deploy scalable, secure voice assistants across inbound support or automated workflows.
Pros:
Reliable and scalable
Pay-as-you-go pricing
Strong security and compliance
Cons:
Complex setup for non-technical teams
Limited out-of-the-box sales use cases
Custom development required
3. Microsoft Azure Speech & Bot Framework
Microsoft Azure’s Speech Services, combined with the Bot Framework, allow businesses to create enterprise-grade AI voice assistants that integrate deeply with Microsoft products. These assistants can handle speech recognition, neural text-to-speech, real-time translation, and intelligent conversation flows.
When paired with tools like Dynamics 365, Outlook, and Microsoft Teams, Azure-powered voice assistants become especially effective for internal sales, customer service, and enterprise communication scenarios.
Pros:
Strong enterprise compliance
Excellent voice quality
Deep Microsoft product integration
Cons:
Steep learning curve
Requires developers
Not optimized for sales automation by default
4. PowerinAI
PowerinAI is designed specifically for large call centers and assists human agents during calls. It uses AI to understand caller intent, route calls intelligently, automate self-service interactions and analyze conversations for sentiment and performance insights. Rather than acting as a standalone voice assistant, PowerinAI enhances large-scale support operations by reducing agent workload and improving call efficiency.
Pros:
Built for high call volumes
Improves agent productivity
Suitable for both inbound and outbound calls
No-code solution
Cons:
Enterprise pricing
Doesn’t replace humans; it amplifies their ability to take quick and smart decisions
5. Five9 Intelligent Virtual Agent (IVA)
Five9’s Intelligent Virtual Agent is designed to automate inbound customer service calls at scale. It enables businesses to deploy AI voice assistants that handle common customer queries, guide users through self-service flows, and escalate complex issues to live agents when needed.
Integrated tightly with Five9’s contact center platform, IVA focuses on improving first-call resolution and reducing call center costs, making it a strong choice for large support teams and BPO environments.
Pros:
Reduces support costs
Enterprise-grade reliability
Seamless contact center integration
Cons:
Less flexible for sales use cases
Expensive for SMBs
Setup complexity
6. Air.ai
Air.ai is an advanced AI voice assistant focused on autonomous outbound sales conversations. Unlike traditional scripted bots, Air.ai conducts long, natural, human-like phone calls in real time, handling objections, asking follow-up questions, and qualifying leads without predefined scripts.
It continuously adapts its responses based on the conversation flow and automatically logs call insights into CRM systems, making it a powerful solution for high-volume outbound sales operations.
Pros:
Highly realistic conversations
Strong outbound sales focus
Works without scripts
Cons:
Premium pricing
Limited inbound use cases
Less customization for SMBs
7. Bland AI
Bland AI is an API-first AI voice assistant platform designed for automated phone calls and voice workflows. It allows businesses and developers to build custom AI callers that can make, receive, and manage phone conversations in real time.
With flexible integrations via webhooks and APIs, Bland AI is well-suited for startups and technical teams looking to embed AI calling capabilities into their existing products or internal systems.
Pros:
Flexible and developer-friendly
Competitive pricing
Fast deployment
Cons:
Requires technical setup
Not ideal for non-technical teams
Limited UI for business users
8. Vapi AI
Vapi AI is a developer-centric platform for building real-time AI voice agents using modern large language models. It supports low-latency voice streaming, tool calling, and deep customization, enabling teams to design highly dynamic conversational experiences.
Vapi is often used for experimental, custom, or product-level voice assistants rather than off-the-shelf business automation, making it ideal for engineering-driven teams.
Pros:
Highly customizable
Modern architecture
Excellent for prototyping
Cons:
Not beginner-friendly
No sales-specific workflows
Requires engineering resources
9. GoHighLevel AI Voice Assistant
GoHighLevel’s AI voice assistant is integrated directly into its all-in-one CRM platform, allowing businesses to automate inbound call handling, appointment booking, and follow-up workflows. It is particularly popular among agencies and small businesses that want voice automation without complex setup.
By combining AI voice responses with CRM-driven automation across SMS, email, and pipelines, GoHighLevel enables a unified customer communication experience.
Pros:
Affordable pricing
All-in-one platform
Easy to deploy
Cons:
Limited conversational depth
Not enterprise-grade
Basic AI intelligence compared to advanced agents
10. Salesforce Einstein Voice (via partners)
Salesforce Einstein Voice extends AI voice capabilities into Salesforce environments through partner integrations. It focuses on turning voice interactions into actionable CRM data by automatically logging calls, generating summaries, and triggering workflows inside Salesforce.
Rather than acting as a standalone voice assistant, Einstein Voice enhances enterprise sales and service teams by making voice interactions measurable, searchable, and operationally useful within Salesforce.
Pros:
Strong CRM integration
Enterprise-ready
Trusted ecosystem
Cons:
Depends on third-party voice providers
High cost
Not a standalone voice assistant
How to Choose the Right AI Voice Assistant
When selecting an AI voice assistant, consider:
Use case (support, sales, outbound, inbound)
Business size (startup, SMB, enterprise)
Technical resources (no-code vs developer-driven)
Volume of calls
CRM and tool integrations
There’s no one-size-fits-all solution. The best AI voice assistant is the one aligned with your workflows and growth goals.
Final Thoughts
AI voice assistants are no longer experimental. They are becoming a core part of modern sales and customer service operations. From simple call automation to fully autonomous voice agents, businesses now have a wide range of options based on budget and complexity.
As voice AI continues to improve, early adopters will gain a significant advantage in speed, scalability, and customer experience.