What are the best conversational Ai platforms?

If your business has a website and a very busy customer experience or customer support team that hardly has time to answer all the live chat messages you get, then good news. They don’t have to.

Well, they’ll still have to answer some of the trickier live chat questions, but a conversational Ai platform can actually take care of most of the routine questions they get on a daily basis.

But how do you choose the right artificial intelligence software for your business or industry? What do machine learning, NLU (natural language understanding), and NLP (natural language processing) have to do with it?

Having built a conversational Ai platform, we’ve seen how startups and companies in a variety of industries, from ecommerce to healthcare, have used Ai technology to improve the customer experience, automate tasks, and empower their agents.

Now, Gartner has its own top picks when it comes to conversational Ai platforms, and even though Dialpad has a very robust and unique product, it’s still relatively new. So, below, we’ll look at a comparison of some of the best conversational Ai platforms and how they stack up against each other.

Let’s start by looking at why you might want to use a conversational platform that uses Ai for your business.

How businesses are leveraging conversational Ai platforms

Conversational Ai solutions help businesses with a huge variety of tasks throughout the customer lifecycle.

Here are a few of the most common issues that you could solve with a conversational Ai platform:

• Helping human agents work more efficiently, especially when they have to answer repetitive FAQs from customers or prospects

• Providing round-the-clock customer support, no matter what time zone your customer base is in

• Improving conversion rates throughout your website’s checkout process

• Reducing wait times or hold times—and by extension, improving customer satisfaction

The business value of conversational Ai platforms

If you’ve ever used voice assistants like Alexa or Siri, then you’ve probably already got a rough idea of why these conversational experiences are becoming so popular. In fact, 61% of consumers say that they'd be willing to use conversational Ai to help plan a future trip. Here’s a closer look at three big reasons why businesses in every industry are implementing conversational Ai.

It improves customer satisfaction

The most obvious one: Conversational Ai platforms can help businesses improve customer service. There are a few ways it can do this. First, it helps businesses automate customer service tasks, such as answering FAQs, or frequently asked questions. (Learn more about conversational Ai for customer service.)

This frees up your customer support agents to handle more complex issues and customer interactions. Think about it. Would you rather have your support agents answering a question about what your business hours are, or handling an irritated customer who has a complicated pricing question?

Why not just let your virtual assistant handle the easy stuff?

Second, conversational Ai can help businesses provide 24/7 customer service, even outside of traditional customer service hours. This is because conversational Ai can handle customer inquiries at any time of day or night.

It reduces operational costs

On a related note, conversational Ai platforms can also help businesses reduce customer support costs. The more you can use self-service options like these virtual agents to automate repetitive, low-value tasks, the more efficiently you can resource your contact center team and get them to focus on only the tasks that really need their help.

McKinsey describes a bank in Asia that leaned into conversational Ai as a key part of its service strategy, and achieved significant savings resulting from a 40–50% reduction in service interactions, and a 20+% reduction in cost-to-serve.

It helps you sell more

Finally, a good conversational Ai platform can act as an extended member of your sales team and help you increase sales. Think of your customer journey. Say you’re an ecommerce company (this is mainly relevant for businesses that sell their products or services online).

How many of your potential customers are dropping out during the website checkout process? How many of those people drop off because they’re concerned about shipping fees or your refund policy? A well placed customer service chatbot here can answer questions about these topics right on the screen as they’re checking out. And the best part is, it fully automates this step—you don’t need someone monitoring your website's checkout page 24/7 to catch these questions.

How to select the right conversational Ai platform for your business

If you’re looking to invest in a conversational Ai platform for your business, there are a few key factors you should keep in mind. Here are a few key features to look for.

Robust Ai capabilities

First things first: The artificial intelligence technology itself has to be good. This includes the speech recognition and machine learning engine, and also how “smart” the chatbot is. For example, does it just provide preset answers to preset questions? Or can it crawl your company’s help pages and other documentation to find answers to a wide variety of customer questions?

Dialpad’s conversational intelligence functionality can do exactly this, and on top of that, there are a few other interesting use cases for it too. For example, it can transcribe calls and video meetings—in real time:

It can also do live sentiment analysis, which makes it easy for supervisors who are overseeing big teams of agents to quickly see if a call is going south. 

Dialpad even has an industry-first Ai CSAT feature that solves one of the biggest challenges with CSAT scores: the fact that not a lot of people actually fill out those surveys. Usually only the angriest—and happiest—customers actually bother to respond to these surveys, which means your CSAT answers are likely to be very skewed and not representative of how your customers feel overall.

Ai CSAT can infer CSAT scores for up to 100% of your customer calls thanks to its hyper-accurate transcription feature. The result? A much more representative sample size for CSAT scores, and a more accurate understanding of how satisfied your customers really are:

You’ll also notice that many of the top conversational Ai platforms for enterprise listed below are starting to offer agentic Ai features, which takes typical conversational Ai chatbot platforms that we’re familiar with to another level. Agentic Ai lets you create fully autonomous applications that don’t require manual inputs to execute a task. For example, an agentic Ai can help customers track orders by automatically authenticating their identities, accessing order systems, and providing real-time shipping updates.

Easy set-up

The platform should be easy to use, with a clear conversational interface—for both your agents and your customers. Your customers should be able to easily find the live chat or chatbot window on your website and start a conversation. And your managers should be able to easily create conversational flows from your contact center software or conversational Ai platform.

For example, with Dialpad’s Ai contact center platform, supervisors or agents can use the no-code drag-and-drop builder to quickly put together a chatbot response flow in just a few clicks:

Omnichannel communications

Your customer support and sales team are probably using different channels to talk to your customers and prospects. Which means your conversational Ai platform shouldn’t just be a messaging platform.

If a challenging question comes up, could your customer easily escalate a chatbot conversation to a voice or video call with an actual person on your team? They should be able to! This is one of the most frustrating things about most chatbot user experiences—automation is good, but don’t make it so hard for people to get in touch with a human when they need to.

Integrations with tools you already use

Your team is likely using many other business apps and software. Your conversational Ai platform should integrate with those. Not only can these integrations save a lot of time and work for your agents, they can even help you streamline your business processes and consolidate your tech stack.

For example, Dialpad’s contact center platform comes with conversational Ai functionality built right in. Instead of having to constantly copy and paste data between two different pieces of software, you’d only need one. Actually, there are a few other tools you can consolidate because of how robust Dialpad Support is—I’ll show you how in just a bit.

Comparing the 11 best conversational Ai software providers 

In this list, we took some of the top conversational Ai platform providers listed by Gartner and compared them to Dialpad Support, which does come with its own chatbot functionality. Even though it’s a relatively new product in the conversational Ai space, we thought it’s worth seeing how Dialpad really stacks up against more established leaders.

1. Dialpad Support

Dialpad Support is a fully integrated contact center platform—and yes, it comes with conversational Ai and agentic Ai functionality.

Features

At a basic level, the unified communications solution lets the average office worker make phone calls, send SMS/MMS and instant messages, and host and join video meetings, all from a single app:

But if you happen to have a customer support, sales, or other contact center team, you can also use Dialpad Support, which is designed specifically for teams that have to handle high volumes of external communications on a daily basis.

From your essentials like call routing and IVR, to customer engagement features like CSAT surveys, Dialpad comes with everything your support team needs. And because it’s a fully omnichannel contact center platform, that means your agents can handle not only voice calls, but also social media channels like Facebook Messenger and digital channels like WhatsApp messaging, all from a single dashboard:

More importantly, since we’re talking about Ai, Dialpad has its own artificial intelligence technology, which we call Dialpad Ai. It can transcribe calls in real time using speech recognition and natural language processing, and more importantly, lets you build conversational Ai workflows with the no-code drag-and-drop builder.

What’s unique about Dialpad Ai is that it doesn’t just provide preset answers to basic questions—it can also crawl unstructured sources of data, like FAQ pages, documents, and even past customer conversations to find answers to customer questions... And continuously improves with deep learning.

Dialpad Support also offers agentic Ai capabilities, meaning it can work autonomously and proactively manage customer interactions—including executing complex tasks—with minimal oversight. All while ensuring seamless handoffs between Ai and customer support agents.

Finally, Dialpad integrates with a wide range of popular business tools, including CRMs, everyday productivity tools like Microsoft 365 and Google Workspace:

And if you want to build your own integrations, you can do that with the API. It’s truly a robust, well thought-out ecosystem that gives you everything you need for both external and internal communications in one place.

2. Boost.ai

Boost.ai is another conversational Ai platform with a Slack-like user interface that promises to let you build a custom conversational Ai platform in “just a few days.” Like Dialpad, it has a “self-learning” Ai that learns and gets better over time and can determine intent from a question.

Listed as a Gartner leader, Boost.ai talks about NLU quite a bit on its website and looks pretty solid. The only thing is that it’s solely a conversational Ai solution—which means you’d have to purchase this separately and add it to your contact center team’s tech stack, as opposed to a unified communications + contact center platform that comes with all that functionality in one comprehensive package.

Pricing

You’ll have to contact their Sales team for a quote.

3. OneReach.ai

OneReach.ai is an end-to-end multi-agent system that’s designed for building and orchestrating Ai agents, with hundreds of use cases. OneReach.ai calls them IDWs, or “Intelligent Digital Workers,” but they’re essentially agentic Ai capabilities

The platform covers many use cases, from IT help desk to finance to legal, and touts its “Generative Studio X” as the first cognitive infrastructure designed for orchestrating agents and bots. It does look more complicated than options like Dialpad Support, but if you have a significant amount of resources and time dedicated to setting up conversational Ai, OneReach.ai does seem to be a more robust option.

Pricing

Reach out to their Sales team for a quote.

4. Cognigy.AI

Another Gartner favorite, Cognigy.AI is different from the other solutions on this list in one pretty significant way: it’s low-code, not no-code. You’ll need to have some knowledge of coding (or be friends with the developer team) to really get the most out of Cognigy.AI.

Like Dialpad, Cognigy.AI lets you automate conversations on voice and text-based channels. It does support over 100 languages, and does real-time translation, which is pretty neat, and gives its Gartner leader title some added merit.

Pricing

Reach out to their Sales team for a quote.

5. Kore.ai

As a conversational Ai platform, Kore.ai seems quite powerful. It lets you create virtual assistants for both the customer experience and employee experience. What’s interesting is that Kore.ai markets themselves as having a contact center platform, but there’s no mention of telephony or how voice calls are billed on their pricing page.

(Typically, a true contact center platform should come with the ability to handle phone calls, video calls, SMS/MMS messaging, live chat, social media channels, and so on.)

Pricing

The Standard plan charges you $0.01 “per user request”—which, if you’re handling high volumes of customer conversations, can really add up. There’s also an Enterprise plan, which you’ll have to get a custom quote for.¹

6. AiseraGPT

As its name suggests, AiseraGPT is a custom GPT conversational Ai solution that is built with domain-specific LLMs. Like other conversational Ai platform providers on this list, AiseraGPT can understand requests in natural language and trigger workflows to automate tasks, claiming to work across industries like tech, retail, financial services, pharma, healthcare, and more.

One disadvantage is that AiseraGPT has to integrate with other telephony or contact center solutions if you want omnichannel or conversational voice Ai platform features, so that’s something to consider. If you want an omnichannel contact center or conversational Ai platform for customer engagement, then it may not be your best option.

Pricing

You’ll have to reach out to their Sales team for a quote.

7. Yellow.ai

Yellow.ai is a conversational Ai platform software used for CX automation. It’s built to handle conversations in over 100 languages and tonalities and across multiple channels and departments, such as customer support, engagement, conversational commerce, voice, and text. It also includes insights and analytics for further insights into customer behavior and satisfaction.

Pricing

You’ll have to reach out to their Sales team for a quote.

8. Avaamo Conversational AI

Avaamo is a conversational Ai platform for customer service, contact centers, and cognitive search. Its solutions cover customer experience for industries like banking, education, and insurance, as well as HR and IT across industries. Customers can build virtual assistants for their businesses using a suite of industry-specific skills, including multi-turn dialogues, training data, and deep integration code to simplify the process of building a conversational Ai.

Pricing

Reach out to their Sales team for a quote.

9. Amazon Lex

Naturally, Amazon is getting into Ai as well. Consumers are familiar with Alexa, but businesses can also use Lex to build chatbots with conversational Ai. Lex is designed to understand intent, maintain context, and perform simple tasks across channels, while working with other AWS services seamlessly. If you’re already relying on AWS for your business, Lex could help add conversational interfaces to your applications, but if you’re not all-in on Amazon, it might not integrate as easily.

Pricing

Amazon Lex charges based on the number of speech or text API requests processed by the bot, starting at $0.004 per speech and $0.00075 per text. Because of this, prices will vary greatly depending on usage.²

10. Amelia by SoundHound AI

Branded as Ai agents with agentic capabilities, Amelia uses a combination of your existing enterprise content and generative Ai to provide conversational, accurate answers to user questions. 

It also integrates with your enterprise systems to empower its agentic-powered Ai agents to perform tasks, end-to-end.

Like Dialpad Support, Amelia can be a good agentic Ai option if you want something that can autonomously handle tasks like resolving IT tickets or processing claims. However, the advantage of Dialpad’s platform is it comes with telephony and omnichannel messaging already integrated—with Amelia, you’d still need to purchase and admin a separate contact center platform.

Pricing

Reach out to their Sales team for a quote.

11. NTT Data’s eva

“eva” is NTT Data’s conversational Ai platform, which has gotten high marks from Gartner. Like the other options on this list, it lets you create virtual agent chatbots that can be deployed across different digital channels like your website, WhatsApp, SMS messaging, and more.

One good basic functionality that it also has: eva lets your customers change communication channels midway through a conversation (in case they need to escalate to a call, for instance), and has a drag-and-drop builder.

Pricing

Reach out to their Sales team for a quote.

Bring efficiency to your customer support operations with conversational Ai

If you’re looking for a conversational Ai platform, there are many options to try out and get demos of. The thing to keep in mind is to look for how your new solution will augment your agents and supervisors. 

While it can be tempting to focus on eliminating labor costs, the most efficient way to use Ai is to make your existing team more productive by reducing ramp-up and onboarding times, improving training, and providing live guidance during conversations with customers.

For most companies, this is the best starting point. It’s convenient—and cost-effective—and if that sounds interesting, you might consider an Ai-powered contact center platform like Dialpad Support. See how it works today!

¹kore.ai/platform/pricing/

²aws.amazon.com/lex/pricing/

³wotnot.io/pricing/