8 Best AI Voice Agents for Contact Centers in 2025

Are you looking for a suitable AI voice agent? A good one can manage complex problems and give personalized, 24/7 service.

 It can also help turn your contact center from a cost center into a source of revenue growth.

In this blog, we have compared the design, features, and pricing of the best AI voice agents for 2025. This article also covers their best uses. Here is what you should know.

What is an AI Voice Agent?

An AI voice agent uses conversational AI and Natural Language Understanding to have human-like talks. It understands what users want and solves complex problems.

These intelligent agents are a clear move away from older or legacy, script-based Interactive Voice Response systems.

They are supported by progress in Large Language Models. They can access large knowledge bases in real time. This allows them to have context-aware and understanding interactions.

How We Selected the Top AI Voice Agents

To make this list of top AI voice agents for 2025, we looked at vendors based on several important points. We wanted the chosen platforms to give real business value. We also wanted them to show the different design choices that are available.

• Platform Design and Maturity: We looked at the main design of each voice agent platform. We considered everything from all-in-one suites to specific, best-of-breed parts. We also looked at their stability, ability to grow, and history in business settings.
• Conversational Intelligence: Very Friendly Humanoid Robot, Smiling, Wearing headset must understand natural language and what users mean. It should also be able to conduct a human-like conversation. We checked the quality of their NLU and generative AI functions.
• Connections and Extensibility: An AI voice agent becomes more useful when it can connect to business systems like CRMs and calendars. We checked the quality of their APIs and existing connector collections.
• Usability and Setup: An AI agent should make work simpler, not harder. We considered the user experience for both developers and non-technical business users. We looked at how easy it is to build, deploy, and manage agents.
• Total Cost of Ownership and Value: We studied the AI voice agent pricing models for more than just their price. We considered their predictability, expandability, and the overall return on investment the platform is meant to deliver.

Comparison of Top AI Voice Agents in 2025

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8 Top AI Voice Agents for Contact Centers in 2025

Finding your way through the crowded market of AI contact center solutions and AI voice agents can be hard. Based on our analysis, here are eight top AI voice agents that stand out in 2025 for their functions, design, and new ideas.

1. Thunai AI

Thunai AI is the most versatile voice agent on this list for business-wide use. This enterprise AI agentic platform is designed to do more than just handle calls. It acts as a central, self-learning Thunai Brain.

This brain turns a company's entire knowledge base into automated agents. Also, thiis knowledge-first method is its main differentiator making it the top AI voice agent on this list. It helps automate complex workflows across sales, support, and marketing.

The agentic AI platform works by taking in and combining scattered information. It gathers this information from documents, videos, transcripts, and CRM data into one place. From this brain, it creates special agents for specific jobs.

These include AI voice agents for phone calls and AI chat agents for websites. It also has AI email agents for inbox automation and application agents for tasks on social platforms. 

Key Features of Thunai AI:

• Advanced AI Voice Agent Functions: The platform is built for 99.9% Human-like Conversations. It can answer calls, schedule meetings, and log summaries to a CRM. AI voice agents have the most notable feature which is allowing live screenshare during a call to solve customer problems in real time.
• Knowledge-First Design: The Thunai Brain is a single source of truth. This allows for the quick setup of knowledgeable agents. These agents can answer complex questions correctly by using the company's full institutional knowledge.
• Workflow Automation: Thunai goes beyond the contact center to automate sales and marketing cycles. It can qualify leads, give personalized answers, and automate follow-ups. It can even create blog and social media content to improve SEO.
• Omnichannel Automation: It unifies interactions across voice, chat, and email. This helps it solve a high percentage of L1 tickets, a claimed 61%, without a person's help. It uses sentiment analysis to automatically escalate urgent problems.
• Connections and Extensibility: It is designed to link with many business systems. These include CRMs, project management tools, calendars, and communication platforms like Slack and Microsoft Teams.

Pros:

• Very good for automating sales and customer support workflows from start to finish.
• The Thunai Brain concept is an original and strong differentiator.
• Advanced AI voice agents with features like screen sharing are uniquely valuable for technical support.

Cons:

• Newer to the market.

Pricing:

A free plan is available. Paid plans start at $7/month. The Basic plan for workflow automation starts at $79/month.

2. Amazon Connect with Lex

Amazon Connect is the cloud-native CCaaS product from AWS. It was tested within Amazon's own large customer service operations. It is a builder's platform. 

This is one of the best AI voice agents for businesses with their own technical experts who want to build a custom solution on a system that can grow.

In the case of Lex, it’s strength comes from its deep connection with the large AWS ecosystem. Amazon Connect when paired with Lex also uses services like AWS Lambda for almost unlimited customization.

Key Features of Amazon Connect with Lex:

• Unmatched Ecosystem Connection: Its ability to link with hundreds of AWS services gives developers great flexibility and utility.
• Generative AI Agent Assistance: Amazon Q in Connect works in real time to help human agents. It suggests actions and creates call summaries automatically.
• High Capacity for Growth and Dependability: It is built on AWS's global systems. It can handle large and changing contact volumes without performance issues.

Pros:

• Flexible pay-as-you-go pricing removes the need for big upfront license fees.
• Has AI voice agents with strong conversational AI based on the same technology as Alexa.

Cons:

• It is complex and has a steep learning curve. This requires a lot of AWS knowledge.
• The separate, pay-per-use model makes the total cost of ownership very hard to predict.

Pricing:

The model is entirely pay-as-you-go. A normal interaction will have several separate charges. These include a service usage fee of $0.018/minute, plus phone and Amazon Lex request fees.

3. ElevenLabs

ElevenLabs is not a contact center platform. It is a top-tier component maker that works to perfect one specific part: highly realistic voice synthesis. The company was started because of frustration with robotic text-to-speech.

In terms of top AI voice agents, ElevenLabs  has become the market leader in creating emotionally rich and lifelike AI voices. This makes it a great engine for other platforms that need very realistic vocal interactions.

Key Features of ElevenLabs:

• Highly Realistic Voice Generation: It is well-known for making some of the most lifelike and emotionally expressive AI voices available.
• Voice Cloning: A main feature that lets users make a high-quality digital copy of a specific voice from a short audio clip.
• Low-Latency API: It has a dependable, real-time API with a response time as low as 400ms. This makes it good for conversational AI applications.

Pros:

• It is widely seen as the market leader for top-quality voices.
• The user-friendly interface and well-documented API make it easy for creators and developers to use.

Cons:

• The credit-based subscription model causes problems for many users. They find it costly and inflexible, especially since credits do not roll over.
• The quality of voice generation gets much worse for languages other than English.

Pricing:

It has a free tier with 10,000 credits. Paid plans start at $5/month for 30,000 credits.

4. Genesys

Genesys is a major name in the contact center industry. It stands as the top example of a mature, all-in-one CCaaS platform. Its main product, Genesys Cloud CX, is a complete, cloud-native solution.

These AI voice agents are designed for large businesses that want a dependable, ready-to-use systems. It has a very wide range of features, from omnichannel routing and Workforce Engagement Management to built-in AI. This lessens complexity and operational risk.

Key Features of Genesys:

• Complete All-in-One Platform: It has a large suite of connected features that cover almost every part of contact center work.
• AI-Powered Experience Orchestration: It uses AI for predictive routing and speech-activated IVR. It also gives an Agent Copilot for real-time help.
• Low-Code/No-Code Development: Genesys Architect is a simple, drag-and-drop platform for making complex interaction flows with very little coding.

Pros:

• It is proven at a large business scale with high dependability and uptime.
• A strong partner community and the AppFoundry Marketplace give many options for connecting with existing business systems.

Cons:

• The high cost of ownership can be too much for small to medium-sized businesses.
• The large number of features can be confusing. Some users say the documentation can be old.

Pricing:

Genesys’ AI voice agents uses a tiered, per-user subscription model. The Genesys Cloud CX 1 plan, which is for voice, starts at $75/user/month.

5. Synthflow

Synthflow is a Berlin-based startup. This AI voice agent has quickly become a key player in the no-code AI agent field. Its main goal is to make AI available to business users and agencies. It lets them build, set up, and grow human-like voice agents quickly and without coding.

It highlights fast time-to-value. This is also one of the AI voice agents that has a good white-label solution for agencies to rebrand and sell the platform.

Key Features of Synthflow:

• No-Code Agent Builder: A visual, easy-to-use interface where users can design the logic and talk flow of their AI voice agents without writing code.
• Human-Like Conversational AI: It uses top-tier voice synthesis from ElevenLabs and advanced LLMs. This helps it make agents that sound natural and can manage dynamic talks.
• Real-Time Actions and Connections: It can link with over 200 outside tools. This allows it to do things like book appointments in real time and update CRM records during a live call.

Pros:

• Their AI voice agents  are very easy to use. This allows businesses to set up advanced voice agents in hours, not months.
• A quality white-label product gives a ready-to-use solution for marketing agencies.

Cons:

• A big price increase between the entry-level and professional plans makes it hard for small businesses to grow.
• Some user reviews mention call problems and slow customer support. This suggests the platform is still getting better.

Pricing:

The Starter plan is $29/month for 50 minutes. The Pro plan, meant for production use, jumps to $375/month for 2,000 minutes.

6. IBM Watson Assistant for Voice Interaction

IBM Watson is well known in business AI. The Watson Assistant for Voice Interaction platform is made for large companies in regulated industries like banking and healthcare.

These businesses put a high value on security, data governance, and deep technical functions. In this sence, this AI voice agent is not a simple solution. IBM AI voice agents has a set of highly customizable services for use in complex, essential business settings.

Key Features of IBM Watson:

• Business-Grade Security and Governance: It has top-level data governance. It can also run anywhere, including on public, private, hybrid, or on-premises clouds.
• Advanced Speech Services: The Speech-to-Text and Text-to-Speech services are very customizable. Businesses can train models on their own industry terms to improve accuracy.
• Top-Tier Conversational AI: It is built on decades of IBM research. The NLU engine can manage complex talk flows and ask questions to clarify. It knows when to escalate to a person.

Pros:

• It has an effective and accurate AI built on leading NLP and speech recognition technology.
• Its strong connection functions are designed to link deeply with complex business systems.

Cons:

• Advanced setups are very complex. They need a big investment of time and skill.
• There is a steep learning curve for teams that are new to ideas like intent detection and dialogue management.

Pricing:

The Plus plan starts at $140/month for 1,000 monthly active users. The voice add-on costs an extra $9 for every 100 users using voice.

7. Cognigy

Cognigy is a leader in the business conversational AI market. It is known for its effective and flexible low-code platform.

The AI voice agents in Cognigy combine Generative and Conversational AI to create Agentic AI. This AI can manage complex interactions and work with human agents. It has an impressive list of clients like Lufthansa and Toyota. This shows its success in the business world.

Key Features of Cognigy:

• Low-Code Conversational Flow Builder: A graphical editor that helps business users build and manage complex talk flows with very little coding.
• Advanced NLU and LLM Orchestration: It combines its own NLU with the ability to manage several leading LLMs. This lets it handle detailed talks.
• Business-Grade Connection: With over 100 pre-built connectors, the platform is made to link smoothly with existing business systems.

Pros:

• It makes advanced AI development easy for business users without losing depth.
• This platform for AI voice agents is known for thier responsive and helpful customer support, which is important for a good setup.

Cons:

• While basic use is easy, using advanced features may need more technical skills and a lot of learning.
• As a business-focused platform, the price can be too high for smaller companies.

Pricing:

Cognigy's pricing is not public. However, outside data suggests a starting price of around $2,500/month. The average annual cost is about $115,000.

8. Google Contact Center AI

Google Contact Center AI, or CCAI, is Google Cloud's set of solutions. It is designed to bring top-level AI into the contact center. This top AI voice agent is built on the same systems that run Google Search and Assistant.

The AI voice agent platform has great size and sophistication. Google's plan is to present CCAI as both a set of modular AI parts like Dialogflow and as a full, end-to-end CCaaS solution.

Key Features of Google CCAI:

• Advanced Conversational AI (Dialogflow): It has a high-performance engine for building virtual agents with top-tier NLU. It supports over 120 languages.
• Agent Assist: It gives real-time help to human agents during live calls. This includes knowledge help, smart reply ideas, and automatic summaries.
• Conversational Insights: This is an analytics tool that looks at contact center data. It gives managers information about call reasons, customer feelings, and agent performance.

Pros:

• It is built on Google's leading AI research, which gives it very accurate NLP.
• Its flexibility and modular design let businesses choose the full platform or just individual parts.

Cons:

• The AI can still frustrate customers in very emotional situations, like when they are complaining.
• The pay-as-you-go, component-based pricing can be complex. It makes it hard to predict the total cost.

Pricing:

Google CCAI uses a detailed, pay-as-you-go pricing model. The price is based on which parts are used. For example, Conversational Insights is priced per 100 conversations that are analyzed.

How to Choose the Best AI Voice Agent for You

Picking the best AI voice agents for your business from the many options requires a close look at your exact needs. You also need to see how different tools match those needs:

• Check Your Technical Maturity: Is your company a tech-forward business with strong in-house developers? Can they build on a hyperscaler platform like Amazon Connect or Google CCAI? 
• Define Your Main Goal: What specific job do you need done? Are you looking for a proven, all-in-one platform to update your whole contact center, like Genesys? Do you need to build a custom application with the best voice quality, like ElevenLabs.
• Consider Your Industry and Security Needs: If you work in a highly regulated industry like finance or healthcare, the security and governance of a platform like IBM Watson may be a must-have.
• Compare the Pricing Model to Your Budget: Do you need the predictable budget of a per-seat model like Genesys? Or does the flexibility of a pay-as-you-go model from AWS or Google fit your changing needs, even with its unclear costs? you.

AI Voice Agent Trends in 2025

The AI voice agent field is changing quickly. In 2025, the clear path is toward more autonomous and goal-based systems. This idea is known as Agentic AI.

This is a move from AI that just answers questions to AI that can think, plan, and do multi-step tasks to reach a goal. An agentic AI will not just answer a question. In fact, AI voice agents like Thunai can designed to will raise tickets based on issues, update the CRM, and send a confirmation email, all in one smooth interaction. The vendors in the best spot to lead this change are those built on three main pillars:

• Deep Connection: The ability to link to and manage actions across business systems is very important. AI voice agents and vendors with strong API frameworks like Cognigy and the hyperscalers are in a good position.
• Advanced Reasoning Engines: This requires thinking based on advanced LLMs. Vendors like Google with Gemini and IBM with watsonx, who are at the front of foundational model research, have a clear edge.
• Knowledge-First Designs: AI voice agents can only act on what they know. Platforms like Thunai AI, which are designed to combine and use a company's whole knowledge base, are a good model for the future of intelligent, autonomous agents.

Thunai AI: The Top AI Voice Agent for Contact Centers and Enterprises

This AI voice agent acts as a single place for information. It is a business brain that runs automation across sales, customer support, and marketing.

By using your company's entire knowledge base, Thunai AI greatly cuts down on the time spent on repetitive tasks.

Our teams have used Thunai to automate workflows and respond to leads. This has helped them qualify customers and book meetings up to 10 times faster.

Do you want to see Thunai in action? Set up a free trial to see how it works in real time.

FAQs for AI Voice Agents 

What is the best AI voice agent for business automation?

For businesses whose main goal is using a large, existing knowledge base to run automation across the whole company, Thunai AI is a top choice. Its unique business brain design is specifically made for this, making it more than just a contact center tool or like the more typical AI voice agents.

What is the best all-in-one contact center solution?

For large businesses that value stability, a full set of features, and a predictable cost model from one vendor, Genesys is the leading choice. This is one of the AI voice agents that as a mature Cloud CX platform is a proven, and has complete solution that makes setup less complex.

What is the best AI voice agent for developers?

For tech-forward companies with skilled development teams, the hyperscaler platforms are the strongest choice. Amazon Connect with Lex is the clear pick for businesses using the AWS ecosystem. Google Contact Center AI has the best AI voice agents for those on Google Cloud. For developers who just need the best voice quality for a custom application, the ElevenLabs API is the definite choice.