The choosing of a conversational AI platform for enterprise automation depends on what you want to automate. For businesses that mainly need an AI voice receptionist to answer calls, capture leads, book appointments, and handle routine customer conversations, Hello22 AI is our top pick. Larger enterprises with complex contact centers, developer teams, or strict deployment needs may find other platforms a better fit.
The reason businesses are looking at conversational AI is not simply to make calls sound more natural. The bigger goal is to reduce repetitive work, respond faster, and make sure customers do not get stuck waiting for help. For smaller businesses, understanding the benefits of an AI receptionist can help clarify where voice automation can make the biggest difference.
In this guide, we compare nine conversational AI platforms for enterprise automation. We look at what each platform does best, who it suits, where it may not be the right choice, and how it compares with the others. The aim is not to find one platform that works for every business. It is to help you find the one that fits your calls, your team, and your level of technical experience.
📌 Key Takeaways
- Hello22 AI is our top choice for businesses that want a ready-to-use AI voice receptionist without a complicated setup.
- PolyAI, Cresta and Google Cloud are better suited to larger organisations with complex customer service and contact centre needs.
- Rasa is worth considering when data control and custom deployment are major priorities, and it has a free tier to test with.
- SoundHound AI stands out for voice automation in areas such as restaurants, hospitality, and automotive.
- Vapi is a good option for developer teams that want to build their own agent, while Thoughtly suits sales teams chasing inbound leads without heavy technical work. Sierra fits consumer brands that want the agent to finish the task, and it charges per outcome rather than per minute.
- The right choice depends on call volume, automation goals, integrations, data requirements, and how much control your team needs. Only five of the nine publish a price at all, so budget extra time for the ones that do not.
How We Picked These 9 Conversational AI Platforms
Selection is based on these filters:
1. Live and available today, so you do not have to be on the waitlist.
2. Handles voice, not just web chat.
3. Features, affordability and overall appeal
4. And the nine together had to cover the whole market, so a two-person salon and a national airline both find themselves somewhere here. Check out the table below for an overview of conversational AI platforms:
| Platform Name | Best for | Price you can see upfront |
| Hello22 AI | Small- and medium-sized teams | Customized Pricing |
| Vapi | Developers building their own agent | $0.05 a minute plus provider costs |
| PolyAI | Large customer service operations | Per-minute rate not published |
| Sierra | Consumer brands wanting tasks completed | Per outcome, rate not published |
| Cresta | Contact centres running humans and AI | None |
| Gemini Enterprise for CX | Companies already on Google Cloud | $0.50 per session |
| SoundHound AI | Restaurants, drive-thrus, car dashboards | None |
| Rasa | Regulated industries that must self host | Free tier, paid on request |
| Thoughtly | Sales teams chasing inbound leads | From $500 a month |
1. Hello22 AI – Best for most businesses.
Hello22 AI answers your calls around the clock; books and moves appointments; captures leads; answers the questions you get asked forty times a week; and sends a summary of every call. These are some of the most common AI voice agent use cases, particularly for businesses that receive repetitive customer enquiries and appointment calls.
It is built for a plumber, a clinic, a salon, Real Estate, and a property manager. For Australian businesses specifically, it is also worth comparing the available AI receptionist solutions for small businesses based on setup, pricing, integrations,ons and call volume. It allows you to set up the AI agent within a few minutes. And you just need to enter your website information or fill in the preliminary details regarding your business, services, etc. And the AI agent understands your business automatically. You also have the option to choose from different kinds of voices according to accent. And it really delivers because it works without any hassle.
If one talks about the shortcomings, you might feel that it doesn’t have the chatbot And it is focused on people who are into trades like plumbers, electricians, handymen and other types of small businesses. However, Hello22 AI does offer enterprise solutions as well.
2. Vapi – Ideal for developer teams
Vapi hands you the parts rather than the finished product. You pick up your own speech recognition, language model and voice, and Vapi runs the phone lines and scaling underneath them. Eleven Labs and Cartesia for voices, Deepgram for transcription, OpenAI and Gemini for the model. Claude comes in through AWS Bedrock rather than directly
It is a first-voice AI platform designed for businesses that want to build and deploy voice agents at scale. It provides tools to manage voice, conversation flows, telephony, integrations, monitoring, and agent performance from one platform. Its enterprise features include dedicated deployment support, SSO, OAuth, role-based access controls, AI guardrails, and compliance with SOC 2, HIPAA, and PCI standards. Vapi claims sub-500ms latency, 99.9% enterprise uptime, and the ability to support millions of calls.
Vapi charges a base rate of $0.05 per minute for its core platform. However, the total cost of running a voice agent in production can range from around $0.15 to $0.33 per minute. Since Vapi follows a “Bring Your Own Stack” approach, third-party infrastructure costs are passed to customers at their actual rates.
3. Poly AI – Suitable for large customer service operations
PolyAI has aimed at one problem for years, making an enterprise phone agent sound like a person. PolyAI is a strong choice for large businesses that need to handle complex customer conversations at a scale. Its platform is built specifically for enterprise dialogue agents, helping businesses build, run, adapt, and manage AI agents across different channels and languages. It offers two ways to build agents: a no-code option for non-technical teams and a developer toolkit for technical teams. It also focuses on enterprise requirements, with built-in controls for compliance, brand consistency, and customer experience. Its platform has been used for challenging conversations involving fraud, outages, triage, multilingual support, and more. Poly AI uses per-minute pricing for ongoing voice agent usage, with maintenance, performance improvements, and 24/7 support included. T
4. Sierra – Fantastic for consumer brands
Sierra builds branded agents across voice, chat, email and WhatsApp in 59 languages, and their whole pitch revolves around task completion, whether that means processing a claim or starting a mortgage. SiriusXM, Sonos, Vanguard and Nubank are named customers. Its AI agents can help with tasks such as appointment booking, customer support, and other complex workflows. Sierra also offers tools to build, monitor, test, and improve agents, with features such as customer context, long-term planning, and outcome optimisation.
Pricing is an interesting part since Sierra charges when the agent achieves an outcome, such as a resolved conversation or a saved cancellation, rather than per minute.
5. Cresta – Best for contact centers
Cresta came out of the Stanford AI Lab and is run by a former co-founder of Google’s contact centre AI team. Cresta AI Agent handles voice, chat, and SMS in more than 30 languages. There are unique features that set it apart: while AI takes the routine calls, Agent Assist coaches your human reps live during the hard ones, with prompts on screen as they talk.
Its agents are available in different categories, and these include AI for customer interactions, Agent Assist for real-time guidance and workflow, and Conversation Intelligence to analyse and identify customer insights. Cresta offers multilingual AI and is suitable for big enterprises. It also provides integration, security, and data privacy at an enterprise level.
Cresta does not publish standard pricing tiers on its website, but it offers a custom enterprise subscription model tailored to contact center operations.
6. Gemini – Best if your company already runs on Google Cloud.
Worth getting the name right, because Google has changed it twice. What used to be Contact Centre AI became the Customer Engagement Suite and is now Gemini Enterprise for Customer Experience. The agent builder is CX Agent Studio. Contact Center AI Platform still exists, but only as the phone system underneath.
It is designed for businesses that want to connect shopping and customer service through AI. It allows companies to build agents that use natural, human-like voices and support customers throughout the journey, from product discovery to post-purchase support. Its tools can provide personalised assistance, help customers find products, support self-service, and give service teams real-time AI guidance. The platform also includes tools for building and deploying AI agents with a drag-and-drop interface, making it suitable for large businesses such as retailers and restaurants that want to deliver personalised customer experiences at scale.
You get real-time voice, 35 prebuilt templates and more than 40 languages. Home Depot and Papa John’s are named on Google’s own pages. Agent builder pricing is public at $0.50 per session; the rest is contact sales.
7. SoundHound AI – Best for restaurants
SoundHound is the odd one out here, in a good way. It is a public company in Nasdaq. It has been this since 2005, and its speech recognition is its own technology rather than somebody else’s API.
It’s a strong choice for large businesses that want to automate customer conversations across industries such as healthcare, finance, restaurants, automotive, hospitality, retail, and telecom. Its OASYS platform is built for voice-native AI agents that can handle tasks such as taking orders, booking appointments, processing payments, managing customer accounts, and providing support. The platform also supports integrations with hundreds of LLMs, systems, and other tools. SoundHound says its technology automates more than 10 billion conversations annually and has over 400 patents
Cresta does not publish standard pricing tiers on its website and instead uses custom enterprise pricing based on factors such as call volume, number of users, selected products, and integration needs. Public AWS Marketplace listings show Agent Assist plans starting at $150,000 per year, while businesses need to contact Cresta for a tailored quote for its broader platform.
8. Rasa -Recommended for banks, insurance
Rasa is a framework, not a service. Your engineers write the logic in Python and the whole thing runs on your own infrastructure. Rasa Voice adds real-time speech with sub-second response. Their design approach, CALM, keeps the language model flexible while stopping it improvising past a compliance rule, which is the entire reason regulated buyers pick it.
Rasa supports use cases across customer service, sales, and employee support, with features such as voice and IVR, multilingual AI, multi-agent orchestration, and private or on-premises deployment. This makes it a strong choice for enterprises that need flexible, secure, and highly customisable AI agents rather than a simple voice automation tool.
There is a free developer tier, capped at one bot and 1,000 outside conversations a month. Paid plans require the client to contact sales.
9. Thoughtly – Ideal choice for sales teams.
Thoughtly has moved on from being a general voice builder. It now positions itself as a voice AI platform for revenue teams, with a focus on automating lead follow-up. Its platform can contact new inbound leads by phone, then continue the conversation through text, email, and WhatsApp. It also connects with CRM systems, helping businesses track conversations and keep lead activity in one place.
The builder is drag-and-drop, with a basic agent running in about 15 minutes. It is particularly useful for businesses that rely on fast lead responses and high-volume outreach. The platform claims to contact leads within 10 seconds, operate 24/7, and automate follow-up across the entire sales funnel.
Thoughtly offers three plans. Flex starts at $500 per month and includes voice, SMS, email, workflows, unlimited usage across channels, 200+ integrations, CRM syncing, 34+ languages, and voice cloning. Scale and Enterprise have tailored pricing and add advanced features such as higher call capacity, compliance support, dedicated support, custom LLMs, HIPAA/BAA support, and custom integrations.
How to choose without wasting three months
Start by calculating your own call log rather than anyone’s feature list. If you are specifically comparing AI receptionist options, our guide on how to choose the best AI receptionist covers the main factors to consider before booking demos or committing to a platform.
Count your calls, find out the after-hours ones, and sort them into three piles: simple questions, tasks like booking or changing something, and conversations that need a human. You can also look at your call logs to understand what a cancelled call means and whether missed or abandoned calls are costing you a potential business.
Once you know about the nature of calls and the count of each, or you have the lump-sum idea, you can think about the pricing, features, setup, duration, support, and overall customizability of the platform or what kind of tailored solution it can provide to you. Then after, you can go for a demo to see if it suits the nature of your business and requirements. Then focus on the demo regarding the following: What is the real response time? What happens when it does not know? Is telephony inside the price, and can you play me a call that went wrong? This all will help you to decide on the perfect pick for your conversation AI platform for enterprise solutions.
Final Thoughts
The right conversational AI platform is one that is tailored to your specific problem. For businesses deciding how much of their phone handling should remain with staff, comparing an AI receptionist vs a human receptionist can also help clarify where automation makes sense and where human involvement is still important. All the mentioned nine best conversational AI platforms for enterprise automation in 2026 in this post are excellent at something. For the majority of businesses reading this, the honest answer is that you do not need a complex platform at all.
Moreover, the right conversational AI platform depends on what you need to automate, but for most small and mid-sized businesses looking for a practical AI voice solution, Hello22 AI is the right place to start. It gives businesses a ready-to-use AI voice receptionist that can answer calls, book appointments, capture and qualify leads, answer routine questions, and hand complex calls to a human. You do not need a developer or a lengthy implementation process to get started.
❓ Frequently Asked Questions
What is a conversational AI platform?
It is a type of software that lets a business run AI agents which hold real conversations with customers by phone, chat, or messaging and complete tasks in your systems. Unlike an old phone menu, the caller speaks normally instead of pressing the buttons.
Which conversational AI platform is best for a small business?
Hello22 AI is a strong option for phone answering and bookings, while Thoughtly may be a better fit if your priority is chasing sales leads. The enterprise platforms covered here do not offer a self-serve option, and pricing can be obtained through their respective sales teams.
Do I need a developer?
For Vapi and Rasa, technical expertise is generally required. Cresta, Sierra, Google, and SoundHound typically require an implementation project. Hello22 AI and Thoughtly can be set up by non-technical users, while PolyAI’s Agent Studio now also offers a self-serve route.
Will these platforms replace my customer service team?
Not based on current evidence. Gartner predicts that half of organisations planning major customer-service cuts will abandon those plans by 2027, while 95% of the leaders it surveyed intend to retain human agents. Conversational AI is therefore more likely to augment customer service teams than completely replace them.
