11 Conversational AI Platforms Every Business Should Consider

Conversational AI platforms are no longer fringe tech. They’re quietly becoming the backbone of customer interactions. From AI-powered chatbots to smart voice assistants, these tools are helping teams scale conversations, trim wait times and solve queries in real time.

But the landscape is crowded.

Dozens of conversational AI companies claim to offer the smartest solution — but not all of them are built for your use case, your team or your scale.

In this list, we break down the top conversational AI platforms worth your attention — along with who they’re best suited for and how to actually pick one that works.

What is a conversational AI platform?

A conversational AI platform is specialized software that simplifies the creation, training and deployment of conversational self-service tools like chatbots, voice bots or virtual agents. It empowers organizations to build intelligent, interactive AI agents capable of natural language conversations at scale. With a range of tools, these platforms help:

• Build omnichannel, multilingual bots for a global reach
• Perform in-platform testing of intents to fix bugs
• Analyze and optimize bot performance through self-training algorithms
• Drive conversational commerce to grow revenue

The primary goal is to streamline and scale the development of conversational AI solutions and offer businesses a bankable solution for 24/7 customer engagement.

11 best conversational AI platforms for enterprise companies in 2025

We have listed 11 prominent conversational AI platforms with their best features and customer reviews, for easy comparison. Find the right fit for your organization and start delivering personalized customer experiences right away.

Sprinklr

Sprinklr's conversational AI platform revolutionizes customer service by enabling seamless self-service through advanced chat and voice bots designed for intricate customer service scenarios, significantly reducing reliance on human agents.

With standout features like conversational analytics and generative AI integration, it not only empowers customers to resolve issues swiftly but also humanizes the bot experience with quick, personalized responses. It reduces wait times and enhances overall satisfaction, embracing an omnichannel and multilingual approach to ensure a consistent brand experience across diverse channels.

Intelligent handling of out-of-context queries, in-platform testing and contextual conversations further enhance customer journeys, setting Sprinklr apart as a frontrunner in the conversational AI landscape.

Top features

• Contextual conversations
  Sprinklr's AI-powered bots excel in handling out-of-context queries, ensuring a smooth and engaging user experience. These bots can seamlessly resume interrupted conversations, decode profound sentiments, navigate contextual fallbacks and effortlessly switch between intents and languages. This makes every interaction a smooth and personalized journey for your users.
• In-platform testing
  Sprinklr refines your bot's performance, one successful test at a time. This unique approach ensures a seamless user experience by detecting and addressing potential issues in real time. By testing all possible scenarios, the platform guarantees that your bot is not only efficient but also resilient, capable of navigating any challenge with finesse.

Don't let disruptions compromise user satisfaction; instead, let Sprinklr's testing prowess fortify your bot against glitches, ensuring it operates flawlessly and elevates the user experience to new heights.

• Conversational commerce  
  Picture virtual assistants suggesting products and AI-powered sales specialists offering expert advice seamlessly in digital conversations. This isn't just customer engagement; it's a revolution. With Sprinklr’s conversational commerce solution, global brands harness every interaction, ensuring that each consumer interaction becomes an opportunity for unparalleled connection and conversion.

In a digital landscape where over a quarter of internet users seek products on social media, brands face the challenge of scaling personalized interactions across diverse channels. The solution lies in a Unified Customer Experience Management (Unified-CXM) platform, and Sprinklr takes the lead. Uniting a spectrum of 30+ messaging and social channels, Sprinklr's platform blends omnichannel reach with cutting-edge AI.  

• Conversational analytics
  Sprinklr doesn't just analyze; it empowers. From deciphering sentiment to decoding needs, it transforms conversations into actionable improvements. CSAT Score, Net Promoter Score (NPS) and Average Handling Time (AHT) become your compass, guiding data-driven decisions. Spot recurring themes, filter by sentiment, and optimize customer service operations. Sprinklr ensures you not only listen to your customers but understand them profoundly, fostering business growth one insightful conversation at a time.

Customer testimonials

What works best

“The out of the box Conversational AI to allow intent based routing, reporting and message level alerts is allowing us to scale out the functionality and automation within our service.” Source

What could be better

“Dashboards for admins can easily get overcrowded.” Source

Verdict: Sprinklr's Conversational AI platform, boasting an impressive G2 rating of 4.3 stars, offers a wealth of positive features, from efficient issue resolution to intelligent handling of queries.

Sprinklr's Conversational AI platform, part of the Unified-CXM system under Sprinklr Service, offers a range of useful features. It's strong in managing conversations with a user-friendly interface and ready-made components. Sprinklr Service is excellent for automating outbound communications with smart behavior handling. Live Chat and Agent Assist make it easy for agents to analyze and improve conversations.

Sprinklr shows a practical vision for innovation, keeping up with tech trends and collaborating for diverse uses. Their strong research and development organization ensures ongoing growth. In fact, Sprinklr was also named a Strong Performer in The Forrester Wave™: Conversational AI For Customer Service, Q2 2024.

IBM

IBM watsonx Assistant is a good choice for enterprises that want strong control, reliability and scale. It lets teams build chat and voice assistants without writing code — ideal for automating customer self-service across channels. You can deploy IBM’s out-of-the-box Granite LLMs or bring your own models via watsonx.ai. It’s purpose-built for business users, with a no-code interface and enterprise-grade customization to match.

Top features

• Improved reasoning and intent recognition powered by IBM’s transformer-based NLU achieves high classification accuracy
• Conversational search powered by generative AI that uses retrieval-augmented generation (RAG), enabling dynamic, contextual responses
• Self-learning chatbots that employ algorithms that help refine their functioning using historical conversations

Customer testimonials

What works best

“I love how well integrated IBM watsonx Assistant is with everything we already have up and running. It’s impressive on the natural language processing front and making our customer service more responsive and the user more intuitive. We linked it with our CRM and other communication methods, so that customer queries are automatically recorded and turnarounds for replies are quick. It has significantly cut down the response times and boosted production all around.” Source

What could be better

“Custom chatbots can be cumbersome to make because finetuning with just visual builder is hard but doable.” Source

Verdict: Users appreciate Watson's diverse applications, such as its role in enterprise chatbots and NLP platforms, showcased through implementations like SCBN and IBM's internal portal for employee support.

Despite its strengths, users express reservations about Watson's utility for specific use cases, particularly for IT professionals engaging in literal string matching. The platform seems more suitable for building a foundation than directly creating solutions, presenting challenges for users with a narrow focus. This limitation impacts the platform's usability when applied solely to certain use cases, creating a hurdle for users seeking a more direct and solution-oriented application.

Amelia

Amelia helps you build and manage conversational AI agents that can handle full-service interactions across customer and employee workflows. It supports end-to-end automation, enabling AI agents to provide immediate responses and complete tasks without human intervention. Used by big organizations, Amelia supports high-volume, complex queries in both customer-facing and internal operations.

Top features

• Answer engine that learns from your knowledge base, website and other content sources to deliver real-time, accurate responses
• Action agents that connect to backend systems to automate tasks end-to-end, reducing manual effort
• AI-enabled engagement that allows multilingual support, LLM-powered Q&A, arbitration and escalation management

Customer testimonials

What works best

“The logs that you can get are awesome. It captures real-time logs of everything happening with a conversation be it with a agent or itself. I love reading data and the insights that you can get are great. Plus, it is a great tool for chat if you are an agent.” Source

What could be better

“While Amelia performs well in most scenarios, the initial setup and training phase can be time-intensive, particularly for domain-specific tasks. Also, the analytics dashboard could benefit from more customizable reports and deeper insights into user behavior and intent recognition” Source

Verdict: Amelia brings a lot to the table for enterprises — especially when it comes to handling complex workflows. It’s built for scale and its automation depth makes it a solid fit for businesses with high-volume support needs.

That said, many users report that getting started isn’t exactly smooth. The setup can feel unintuitive and the learning curve is noticeably steep compared to more modern platforms. But with SoundHound AI now in the picture, there’s reason to watch this space — their combined strengths in voice and conversational AI could make future versions of Amelia far more user-friendly and versatile.

Cognigy

Cognigy is designed to power enterprise-grade virtual agents that work across channels, languages and use cases. Its AI agents combine generative and conversational AI to deliver real-time support, smart self-service and intelligent IVR—while also assisting human agents with context and next-best actions. Pretrained skills and deep integrations with enterprise systems make deployment faster, while built-in learning capabilities help the platform continuously adapt to your business needs.

Top features

• Multimodal and omnichannel customer self-service for voice and chat-ready interactions
• Agent Copilot with global language support and knowledge base access to improve team productivity

Customer testimonials

What works best

“Cognigy stands out for its usability first of all. Any conversation designer will have an easy time getting started on developing a bot with their flow system. This is not just practical for the experts, but for management as well, since Cognigy does a good job at abstracting business processes and giving you an overview of what journey customers are actually following when they go through a flow. The platform is also flexible and accommodates integration with company systems well. By allowing for the development of custom extensions and delivering code functionality in flows. You can easily build a custom suite of supporting tools specifically for your org. Finally, Cognigy shows velocity time and time again by quickly pushing features and delivering on their roadmap” Source

What could be better

“Insights currently is too slow, but the Cognigy team is working on a new solution. The Audit functionality is currently not as developed as it could be, as it is limited in the filtering options, and visibility of changes. A version control approach would be great if it can be added.” Source

Verdict: Cognigy stands out as a reliable, low-code platform that makes it easy to build and deploy conversational AI across channels. Users appreciate its intuitive design, strong usability and how quickly it integrates with emerging technologies. But when it comes to analytics and deep customization, it can feel a bit limiting — especially for teams that need detailed insights or highly tailored configurations. Still, for many enterprises, it strikes a solid balance between speed, performance and ease of use.

Avaamo

Avaamo is an enterprise-focused AI platform built to handle complex interactions across industries. It supports advanced technologies like neural networks and speech synthesis, while offering a no-code dialog builder that lets teams design smart, efficient conversations without engineering effort. Its flexibility makes it a fit for varied enterprise use cases, from voice to chat.

With features such as pre-built connectors, conversation analytics, and conversational validators, it accelerates development cycles, transforming ideas into powerful applications within weeks. This comprehensive solution significantly reduces the traditional time-to-value timeline, making Avaamo an appealing choice for organizations seeking streamlined and enhanced conversational AI across various contexts and industries.

Top features

• Dialog engine that is context-aware and stateful, enabling personalized conversations across sessions, users and enterprise tiers
• Single global NLU engine enriched with regional and industry-specific dictionaries to tailor responses by domain
• Multilingual support for over 114 languages and dialects to engage customers globally through localized conversations

Customer testimonials

What works best

“Ease of developing workflows. Predefined modules are available specific to each domain like IT HelpDesk, Hospital care, etc.” Source

What could be better

“Further enhancements in the domain of Large Language Models (LLM) are necessary to meet the high standards expected in the industry. Currently, the proprietary models are in use require refinement to achieve the desired level of performance and reliability” Source

Verdict: While the overall experience with Avaamo is rated above average, various reviews emphasize the need for improvement. The conversational AI vendor is recognized for being knowledgeable and supportive during the implementation process. However, some users may find configuration and validation a bit taxing, possibly due to insufficient preparation after the sales/RFP experience in the form of training materials and a developer community forum.

Google Cloud Dialogflow

Google Cloud Dialogflow, formerly Api.ai, represents a cutting-edge chatbot-building tool that is tailored to offer users novel and engaging methods of interacting with digital products, Dialogflow stands as a powerhouse in constructing voice and text-based conversational interfaces driven by the prowess of artificial intelligence.

Acquired by Google in 2019, Dialogflow brings the technological might of one of the world's tech giants to the forefront of chatbot development. With a focus on seamless integration of AI, Dialogflow is enabling developers to craft dynamic, responsive and intuitive conversational interfaces for a diverse range of applications and industries.

Top features

• Latest Gemini models enable AI agents to render more human-like voices, emotional understanding and adaptive responses
• Prebuilt agents offer a quick way to get started, showcasing capabilities like geolocation, Google integrations and rich UI components
• Out-of-the-box connectors include 30+ for data retrieval and 70+ for action execution, enabling AI agents to access information and perform tasks

Customer testimonials

What works best

“I have been working with Google Cloud for the past two years and have used this platform to setup the infrastructure as per the business needs. Managing VMs, Databases, Kubernetes Clusters, Containerization etc played a significant role in considering it. The pay as you go cloud concept in Google Cloud is way better than its competitors although at some point you might find it getting out of the way if you are managing a giant infra.” Source

What could be better

“I have been using google cloud from the past two years and have encountered some issue while working with it. The deployment of VMs are handy but glitchy at the same time. I have faced latency and lags in various different scenarios while working with this platform.” Source

Verdict: Google Dialogflow emerges as a user-friendly and scalable solution for creating chatbots, especially for those without coding experience. While its NLP capabilities and scalability are commendable, challenges related to customization, learning curve, cost structure and integration complexity need consideration. It remains a powerful tool, but users should weigh its strengths and limitations based on their specific needs and preferences.

Yellow.ai

Yellow.ai is an AI-powered platform built for enterprises looking to automate customer support at scale with conversational bots. It enables resolution-focused conversations across channels and languages, while also extending automation to functions like marketing, sales and internal support.

Top features

• Dynamic Automation Platform (DAP) with Multi-LLM architecture helps to deliver context-aware interactions
• Generative AI-powered email automation can handle majority of incoming email tickets
• 100+ prebuilt templates and workflows across various industries

Customer testimonial

What works best

“The chatbot really live up to the word no code low code. Its intuitive interface guide user to build dynamic solutions effortlessly and implement it. The 24/7 customer support help us with any queries and provide solution asap. The chatbot offers a breath of integration option makes it versatile“ Source

What could be better

" I have some concerns regarding the advanced bot as it requires more time and effort. Which it could provide more flexibility for customization.” Source

Verdict: Yellow.ai offers robust integration capabilities but lacks transparent pricing information. While it receives praise for its NLP, multichannel support and integration capabilities, users acknowledge a learning curve during implementation and certain limitations in customization. Integration complexity and cost considerations are flagged as potential challenges. However, the platform's overall positive impact on customer interactions and satisfaction remains a driving force.

Read More: Top 11 AI Chatbots for Customer Service in 2025

Amazon Lex

Amazon Lex extends Amazon's expertise to businesses, empowering them with conversational bots. Integration with AWS services is seamless, but it's optimal for businesses deeply invested in the Amazon ecosystem. 

With advanced deep learning functionalities, it encompasses Automatic Speech Recognition (ASR) for speech-to-text conversion and Natural Language Understanding (NLU) to discern text intently. By bringing the same deep learning technologies that power Amazon Alexa to developers, Amazon Lex facilitates the swift creation of sophisticated, natural language-driven chatbots, enabling highly engaging and lifelike conversational interactions.

Top features

• Intent recognition to easily add AI that understands user goals, maintains context and automates simple tasks across multiple languages
• Omnichannel deployment allows one-click setup of conversational AI without hardware or infrastructure management
• AWS integration connects with other services to query data, run business logic and monitor performance

Customer testimonials

What works best

“Amazon lex provides an option to optimise the legacy Traditional DTMF IVR model to natural language IVR where it includes real time processing understanding the words. It really enhances customer experience from Traditional IVR to Natural language IVR.” Source

What could be better

“Customization options could be more extensive, and there might be a learning curve for those unfamiliar with AWS services. It's always a good idea to evaluate based on specific project requirements and expectations.” Source

Verdict: Amazon Lex, a vital component of AWS, proves itself to be a robust tool for chatbot development, seamlessly integrating into the Amazon ecosystem. Recognized for its user-friendly, out-of-the-box solution, it caters to both code and no-code configurations, making it ideal for Amazon Connect users.

Notwithstanding its strengths in implementation ease, design flexibility and effective chatbot training, some users express concerns about its limited capabilities, especially after the introduction of chatbots. Issues related to documentation conflicts and challenges in external website integration highlight areas for improvement. Amazon Lex suits businesses integrated with AWS but may pose challenges for those outside the Amazon ecosystem.

OneReach.ai

OneReach.ai is a low-code platform built to support large-scale automation through AI-powered digital workers. Originally developed as an R&D initiative, it focuses on enabling hyperautomation by combining communication logic with backend orchestration. Generative Studio X by OneReach.ai helps organizations design intelligent agents that can carry out tasks, standardize interactions and coordinate across systems without manual input.

Top features

• No-code builder with 700+ prebuilt steps lets teams create custom AI agents to automate workflows, tasks and conversations
• Multimodality enables multichannel usage — sequentially or in parallel — while maintaining shared context and preserving conversational state across time
• Co-bots and Agent Assist enable agents to delegate tasks to digital workers and speed up resolution

Customer testimonials

What works best

“OneReach is a flexible platform based on an open architecture that can do a lot to jumpstart your AI journey. Its backend capabilities are enterprise-grade, namely scalable and resilient. It's also easy to use, providing low-code/no-code development capabilities.” Source

What could be better

“The current environment is supported by geographically diverse resources. This can be problematic for use cases where all data needs to only be accessible to onshore resources. We also want our solution to have pre-built integrations with a variety of CRM and other applications. OneReach has some of that in place, but more will be needed.” Source

Verdict: OneReach.ai offers strong flexibility and a low-code setup that makes it easier to build and deploy intelligent digital workers across use cases. It covers a wide range of functionality, making it suitable for complex automation needs. That said, teams may still need some technical know-how to get the most out of the platform and pricing could be a consideration depending on the scale of deployment.

LivePerson

LivePerson is an enterprise platform for managing and automating customer conversations across messaging channels. It’s used by large organizations to coordinate interactions across teams and systems, support agents with AI-driven tools and shift more customer service from voice to digital.

Top features

• Intent Manager uses real-time analytics to identify user intents and surface opportunities for automation based on live customer data
• No-code conversation builder for designing AI-powered chatbots and automated conversation flows that work alongside human agents
• Integrations to connect bots to backend systems like CRMs, scheduling tools, inventory and payments enabling unified data access and control

Customer testimonials

What works best

“The AI-powered chatbots and real-time messaging across multiple channels have made it easy to connect with customers quickly and efficiently, improving both satisfaction and team productivity.” Source

What could be better

“The user interface can feel a bit outdated in some areas, and the learning curve is steep for new users. Occasionally, there are delays in support response time, especially during peak hours.” Source

Verdict: LivePerson packs in a lot of modern capabilities, especially when it comes to handling digital conversations across channels. The chat and messaging tools are flexible and easy to work with once you're up to speed. That said, the interface feels a bit dated in places, and getting started can take some time. Support is generally great, but there can be delays during busy hours. Overall, it’s a powerful platform, but not without a few trade-offs.

Check out how LivePerson stacks up against Sprinklr.

Verint

Verint is a low-code platform designed to automate customer interactions across voice and digital channels. It enables organizations to deploy AI-powered virtual assistants that handle tasks such as booking appointments, processing payments and providing product information. The platform includes tools for designing, training, testing and managing multilingual virtual assistants, allowing for rapid deployment and scalability.

Top features

• Intent discovery bot that analyzes engagement data across channels to identify high-value customer intents from transcripts, emails, chats and tickets
• Intelligent virtual assistant uses NLU to automate voice and digital interactions, reducing agent escalations

Customer testimonials

What works best

“Provides features to help organizations adhere to regulatory requirements and ensure data security and privacy in their social media interactions” Source

What could be better

“Because our business model is unique, there have been some challenges with the lack of flexibility within the tool. It's been somewhat difficult working to integrate it in with some of the other tools we use.” Source

Verdict: Verint stands out for its customizability and depth, giving teams the flexibility to tailor virtual assistants to their exact needs. While it's widely recognized for workforce management, its conversational AI capabilities are mature and continue to evolve with a good product roadmap. That said, the platform’s complexity can be a hurdle — new users may face a learning curve.

Impact of conversational AI tools on large-scale operations

At enterprise scale, even small inefficiencies don’t stay small. One repetitive task — multiplied across thousands of agents and millions of customer touchpoints — becomes a serious drag on time, budget and experience. That’s where conversational AI steps in as a force multiplier yielding many benefits.

1. Automates what slows everyone down

Not every query needs a human. But every delay still costs you. Conversational AI clears out the queue — handling repetitive asks like order status checks, password resets or appointment changes. This helps agents focus on what truly needs their time. Also, when your customers are global, no-shows, overflows and time zone gaps become real problems. Conversational AI runs 24/7, doesn’t need shift swaps and doesn’t burn out.

2. Orchestrated service, not isolated scripts

Modern conversational AI doesn’t run on linear decision trees. It integrates with your backend systems, understands context across channels and can execute complex workflows — from verifying identity to processing transactions. For large enterprises, that means fewer handoffs and smarter resolution paths.

3. Keeps customer experience steady

Large companies are always in motion—new tools, new teams, new priorities. But disruptions behind the scenes don’t need to affect your customers. Conversational AI acts as a stable front layer that connects to your systems underneath. Even if you rewire what's behind the curtain, the customer journey stays intact.

4. Cuts costs in places you didn’t think to look

Beyond reducing the load on support teams, conversational AI helps lower the less visible costs that quietly eat into enterprise budgets. Things like manually updating IVR menus across geographies, maintaining separate flows for each channel or QA teams reviewing thousands of tickets for compliance. With one central AI logic powering all channels, updates are faster, maintenance is lighter and audit effort drops.

5. Builds a system of record for every interaction

In regulated industries or global operations, oversight isn’t optional. Conversational AI platforms give enterprises visibility into every conversation — what was said, what action was taken and why. You can enforce data retention policies, apply access controls and review conversation logs for compliance or quality without chasing down scattered records. An enterprise-grade conversational AI tool moves fast and stays accountable.

Editor’s Pick: 19 Benefits of Chatbots in 2025

How to choose the right conversational AI vendor for your business

There are some features and capabilities that are non-negotiable in conversational AI software since they are critical for performance and scalability. We have compiled a checklist of these parameters and questions you need to answer during tool selection.

Future trends for conversational AI platforms in 2025 and beyond

Here are a couple of trends that are defining the course of conversational AI in 2025 and beyond.

Feedback loops are becoming built-in, not bolted on

Traditionally, improving a bot meant combing through transcripts or manually tagging failed interactions. In 2025, conversational AI platforms are starting to come with embedded feedback intelligence — automatically identifying what went wrong, which intents failed, or where escalation happened unnecessarily.

With Sprinklr AI+, there’s no more digging through transcripts or guessing why CX is slipping. With automated quality monitoring and AI-driven scoring, the platform flags what’s going wrong, why it’s happening and what to do next. You get recommended actions, root cause insights and smarter agent coaching — straight from the system that sees every interaction in real time.

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AI agents that act, not just assist

Agentic AI is redefining what bots can do. Instead of waiting for instructions, these agents can break down goals, trigger workflows and coordinate across systems — on their own. Think of them less as scripted responders and more as autonomous coworkers who can resolve issues without being micromanaged.

Read More: Why do Enterprises Need Agentic AI

Sprinklr’s conversational AI platform: Engaging customers, one conversation at a time

Organizations today face loads of challenges in customer engagement, support and communication as the digital landscape evolves. There is a growing need for Conversational AI platforms to streamline interactions, enhance user experiences and scale operations.

Let's explore some scenarios where organizations could benefit from a Conversational AI platform and why Sprinklr's Conversational AI platform is a suitable choice.