Conversational AI has expanded far beyond basic chatbots. It now plays a key role in sales, customer support, and revenue intelligence by turning conversations into actionable insights. From AI-powered chatbots managing customer interactions to advanced platforms analyzing sales calls, emails, and meetings, businesses are using conversational AI to improve engagement, drive sales, and streamline operations.
With the global chatbot market projected to reach $1.25 billion by 2025, it’s clear that conversational AI is shaping the future of e-commerce and beyond. If you're considering an upgrade, it's important to identify the features you need and evaluate the strengths and limitations of different platforms.
In this guide, we’ll explore the top 10 conversational AI platforms, highlighting their key features and benefits to help you make an informed choice.
What is a Conversational AI Platform?
Conversational AI is a branch of artificial intelligence that simulates human-like conversations. It enables machines to understand, process, and respond in a way that feels natural and intuitive.
A conversational AI platform is a specialized software solution for building AI tools like chatbots, virtual assistants, and voice bots. These tools provide 24/7 customer support to improve customer satisfaction and engagement.
The rise of Generative AI and large language models (LLMs) has advanced conversational AI platforms. These advancements allow bots to better grasp user intent and deliver more accurate, context-aware responses to elevate the overall customer experience.
Support for 114 languages, industry-specific AI models, NLU engines
Kore.ai
Conversational AI Platform
SMB, Mid-Sized, Enterprise
Pre-built AI agents, drag-and-drop interface
Microsoft Bot Framework
Conversational AI Development Framework
SMB, Mid-Sized
Multilingual support, integration with Azure Cognitive Services
Yellow.ai
Conversational AI Platform
SMB, Enterprise
Integration with 35+ platforms, in-house LLMs
Cognigy.AI
Enterprise Conversational AI Platform
Enterprise
Generative AI for human-like dialogues
Aisera
Generative AI Platform
Enterprise
Customizable AI agents
1. MeetRecord
MeetRecord is a Revenue Intelligence platform powered by Conversational AI, designed to help sales teams drive better decision-making, optimize coaching, and accelerate deal conversions.
By leveraging AI-driven conversation intelligence, MeetRecord captures and analyzes every customer interaction, calls, emails, and video meetings, extracting key deal insights, buyer intent, and coaching opportunities.
With advanced Natural Language Processing (NLP) and machine learning, it transforms unstructured conversations into revenue-driving intelligence, enabling sales leaders to refine strategies, improve pipeline visibility, and maximize team performance.
Pricing:
MeetRecord provides customized pricing tailored to your business's unique requirements and size. For more details and a personalized quote, please schedule a demo.
Pros:
Offers a comprehensive view of customer conversations and provides data-driven insights that highlight trends, buyer signals, and key pain points.
Helps managers to track how sales reps are engaging with customers, identify areas for improvement, and understand what’s working in the sales process.
With features like automatic call transcription, real-time customer conversation insights, and deal warnings, sales leaders can provide actionable feedback and coaching to their teams without reviewing every call manually.
Cons:
The search function for finding specific calls or points within recordings is not as smooth as users would like.
The interface and settings could be more simple and user-friendly for quicker access.
Testimonial:
How easy it is to install and use. It becomes your silent assistant! It's amazing the effectiveness videos are recorded and stored and the post-meetings recap are really a game changer for organizations like ours who's fully remote and has a very high quantity of meetings. It's very well perceived by our clients, so sales reps feel comfortable using it in all the sales meetings!
IBM Watsonx Assistant is a conversational AI platform that improves business productivity and customer interactions.
It offers a user-friendly drag-and-drop interface with pre-built templates for the quick creation of virtual agents without coding skills.
With features like advanced natural language understanding, retrieval-augmented generation for precise, context-driven answers, and integration with various systems, it supports tasks across customer service, HR, and marketing.
Businesses can also use intelligent self-service options to improve efficiency and customer satisfaction.
Pricing:
Plan
Price
Key Points to Note
Lite Plan
Free
Ideal for SMBs, offering core features for creating interactive user experiences.
Plus Plan
$140 per month
Best for early mid-sized businesses with phone and SMS integration and 1,000 Monthly Active Users (MAUs).
Enterprise Plan
Custom Pricing
Ideal for enterprise businesses requiring enterprise-grade support, security, and scalable solutions.
Pros:
Offers many prebuilt templates for building conversational AI chatbots, which can be modified for specific needs.
Integration with other services within the Watsonx ecosystem, including IBM Cloud.
Multilingual support, making it suitable for businesses with a diverse audience.
Cons:
Some users find the design of the portal for building chatbots less user-friendly and in need of improvement.
The pricing model, which depends on the scope of needs, is a potential limitation for smaller projects or businesses with limited budgets.
Testimonial:
Building conversational AI chatbot without any coding. There are many prebuilt templates which can be modified to meet the individual's requirements.
Amazon Lex is a fully managed AI service designed for building conversational interfaces, such as chatbots and voice bots.
Powered by the same natural language technology as Alexa, Amazon Lex helps users design, build, test, and deploy chat experiences in applications.
It supports use cases such as customer service, technical support, and enterprise productivity by automating tasks like bookings, report generation, and query resolution.
Pricing:
Plan
Price
Key Points to Note
Free Plan
Free
Ideal for SMBs with up to 10,000 text requests and 5,000 speech requests per month for one year.
Post-Trial Plan
$0.00075 per text request, $0.004 per speech request
Ideal for early mid-sized businesses scaling their interactions beyond the free tier.
Automated Chatbot Designer
$0.50 per training minute
Best for mid-sized businesses needing higher interaction volumes, with bots created from transcripts.
Enterprise Plan
Custom Pricing
Ideal for enterprise businesses with large-scale usage and complex requirements like bot training.
Pros:
The integration of Amazon Lex with other AWS services provides convenience for developers already using the AWS environment.
The process of creating and training chatbots through the provided console is very simple.
The prebuilt templates available for chatbots are highly useful for beginners and save time during the development process.
Cons:
The platform only supports four hosting channels (Facebook, Kik, Slack, and Twilio SMS), which limits versatility for users looking to deploy chatbots on other platforms.
Pricing is considered complex and harder to understand, especially for users unfamiliar with AWS services.
Testimonial:
Easy to create your own chatbot in minutes. Also, it is easy to train your chatbot. Also, they have provided some readymade chatbots for review.
Dialogflow, part of Google's Customer Engagement Suite, is a platform that helps businesses build hybrid conversational agents with both deterministic and generative AI capabilities.
This provides strict control over interactions while improving customer experience with generative AI to meet specific needs.
Dialogflow CX, designed for more complex applications, offers an intuitive UI with drag-and-drop features, which makes it easy to create virtual agents with minimal effort.
Pricing:
Plan
Price
Key Points to Note
Free Plan
Free
Ideal for SMBs with basic functionality, including $600 credit for Dialogflow CX.
Dialogflow CX Plan
Varies based on usage
Best for early mid-sized businesses and mid-sized businesses needing advanced capabilities like multilingual support and automated handling of complex interactions.
Enterprise Plan
Custom Pricing
Ideal for large enterprises needing full capabilities of Dialogflow CX with enterprise-grade AI and multi-channel support.
Pros:
The drag-and-drop interface and pre-built templates make it user-friendly for non-technical users.
It supports over 20 languages, making it suitable for building multilingual chatbots for a global audience.
Integration with other Google Cloud products, such as Google Assistant, Google Analytics, and Google Cloud services, simplifies the workflow.
Cons:
The pre-built templates offer little flexibility for unique or highly specific use cases.
The interface for representing conversation trees is rudimentary and lacks advanced control over visual display compared to competitors.
Testimonial:
Google Cloud Dialogflow CX is like a playground for creating chatbots. It's super easy with its drag-and-drop interface and ready-made templates, making coding skills optional.
Avaamo provides an enterprise-grade conversational AI platform that enables businesses to deliver personalized, seamless customer experiences.
The platform integrates state-of-the-art natural language understanding (NLU), sentiment detection, and machine learning models tailored to different industries, including banking, insurance, retail, and healthcare.
Avaamo's solutions help automate customer service processes, improve agent productivity, and offer conversational self-service across multiple channels.
Pricing:
Avaamo’s pricing is available upon request as per business needs.
Pros:
Avaamo supports over 114 languages and dialects, enabling global engagement.
Pre-built AI models designed for various industries help companies implement conversational AI with minimal effort.
Proprietary NLU engines that drive quick accuracy and a deeper understanding of customer intent.
Avaamo integrates with over 150 platforms, including messaging apps, voice assistants, and enterprise channels.
Cons:
The platform is considered costly, especially for small or budget-conscious organizations.
Avaamo does not allow for session continuity between different channels, which disrupts user experiences in multi-channel environments.
Testimonial:
Avaamo has provided us with a great platform to develop bots in multiple languages and to release them easily into client portals and mobile apps. The platform is more expensive than expected but does deliver on getting their integrations working and having engaged members of their team help.
Kore.ai is a conversational AI platform offering no-code tools, pre-built AI agents, and integrations that make it easy for enterprises to deploy AI solutions without requiring extensive technical expertise.
Kore.ai's solutions focus on helping employees with AI for work tasks, automating knowledge-intensive processes, and improving customer service through AI-driven agents. It supports integration with a variety of systems and channels.
Pricing:
Plan
Price
Key Points to Note
Essential Plan
$50 per month (for 1K sessions)
Ideal for SMBs with basic chatbot features and entry-level functionality.
Advanced Plan
$150 per month
Best suited for mid-sized businesses needing more complex features and higher interaction volumes.
Enterprise Plan
Custom Pricing
Ideal for large businesses requiring custom features, extensive support, and integration capabilities.
Pros:
The drag-and-drop feature helps to quickly assemble the chatbot components without extensive coding knowledge.
The hands-on approach of the training helps users get important skills in building and debugging AI virtual assistants.
The platform automates customer service tasks, reducing human intervention in repetitive inquiries and improving efficiency.
Cons:
The platform only supports JavaScript for scripting, which limits flexibility for developers who prefer or need to use other programming languages.
The process of selecting templates from the marketplace is confusing and not user-friendly, which makes it harder for users to quickly find what they need.
Testimonial:
I appreciate the platform's simplicity in building chatbots and the user-friendly experience it offers with its wide range of available features. Furthermore, I find it convenient to use the deployed chatbots and appreciate the platform's ability to easily identify and rectify errors, allowing for seamless rebuilding if needed.
Chatrathi L.
AI ML ENGINEER, Information Technology and Services
Microsoft's Bot Framework is a tool for creating enterprise-grade conversational AI experiences.
It helps businesses build secure, scalable bots that interact naturally with users, using Azure Cognitive Services for features like speech, language understanding, and Q&A.
This platform also helps businesses to create virtual assistants and improve customer service while retaining ownership of their data.
Pricing:
Plan
Price
Key Points to Note
Free Plan
Free
Ideal for individuals or small businesses, supporting unlimited messages on standard channels and 10,000 messages per month on premium channels.
S1 Plan
$0.50 per 1,000 extra messages
Best for small and medium-sized businesses with extended usage beyond the free tier on premium channels.
Pros:
The platform offers a wide range of programming languages and SDK options, such as Node.js and C#, to meet various development needs.
Integrates with the Language Understanding Intelligent Service (LUIS), helping bots better comprehend and respond to user input.
Includes pre-trained AI models and SDKs, which accelerates bot creation and deployment.
Cons:
The framework may not be the best solution for developing highly complex bots, as it requires additional work to achieve advanced functionality.
Some users reported that certain components, such as DirectLine, have limited customizability, affecting the bot’s functionality in specific use cases.
Testimonial:
Microsoft bot framework is easy to use and helps to build bots. I am building a chatbot using the MS bot framework. It is very convenient. As a developer, your life gets easy with the Microsoft bot framework, which provides a platform to test and deploy your bot.
Yellow.ai offers AI-first customer service automation to improve interactions across voice, chat, and email channels.
With the power of in-house large language models (LLMs), their platform provides faster, more accurate, and personalized responses.
Yellow.ai supports over 35 channels, so customer support is available on the platforms most preferred by users. The platform also supports over 135 languages for businesses to engage with customers globally.
Pricing:
Plan
Price
Key Points to Note
Free Plan
Free
Ideal for small businesses or those just starting out with conversational AI.
Enterprise Plan
Custom Pricing
Best for businesses needing unlimited bots, unlimited channels, and full support for custom integrations and dashboards.
Pros:
Yellow.ai automates customer service tasks and offers 24/7 support to improve customer interaction.
Integrates with platforms like WhatsApp, Facebook Messenger, Teams, and others to reach customers on platforms they already use.
It provides flexibility to customize the chatbot's responses and flows.
Cons:
There is a learning curve, particularly for advanced customization or setting up specific journeys and integrations.
The platform's pricing structure is not transparent and understanding costs is difficult for new users or small businesses.
Testimonial:
Very handy and easy to use, Implementing new features to your bot is just a click away, prefer this over other platforms for chatbot development, integration is pretty easy.
Cognigy provides AI solutions for businesses to deliver fast, personalized, and efficient support through voice, chat, and messaging.
Cognigy’s advanced AI agents use Generative AI for human-like dialogues to provide empathetic customer experiences.
Cognigy’s enterprise-ready platform is designed for scalability to handle millions of interactions and provide rapid integration into existing systems.
Their cutting-edge technology includes features like real-time AI coaching for agents, instant access to support knowledge, and multi-language features with real-time translation.
Pricing:
While Cognigy.AI does not provide public pricing.
Vendr reveals that the maximum price for Cognigy.AI software can reach up to $350,000 and that the average cost for Cognigy.AI is about $115,000 annually, which suggests that it is a conversational AI platform for enterprise businesses.
Pros:
Provides a wide range of features, including the ability to create and manage chatbots, voice bots, and integrations with other tools.
Competitive pricing makes it an attractive choice for businesses of various sizes.
Helps businesses automate processes, particularly in customer service and contact centers.
Cons:
Some users feel that Cognigy.AI lacks more advanced chat flow options.
To master the platform at a higher level, users need knowledge of APIs and JavaScript.
Testimonial:
Cognigy as a platform is very easy to use - quick to learn, fast to build solutions, and has a great library of integrations to work with out of the box. Access to a wide range of well-known endpoints makes it versatile, while functionality for voice bots, automated agent assistance, and analytics make it a powerful and transformative tool to enhance the customer and agent experience.
Aisera is a leading generative AI platform that helps enterprises transform their operations with AI agents to drive business value across various departments.
The platform uses a powerful orchestration engine to customize AI agents for each department’s specific needs.
Its universal AI copilot and domain-specific models improve accuracy and reduce operational overhead.
Aisera also supports intentless conversational AI for natural and real-time communication with users.
Pricing:
Aisera does not provide public pricing.
Vendr reveals that the average cost for Aisera software is $200,000 annually approximately, which suggests that it is a conversational AI platform for enterprise businesses.
Pros:
Automates common support issues and helps reduce the load on human agents.
Aisera's integration of AI, especially with its GPT and Gen AI solutions, improves user interactions, resolves issues, and deflects common requests.
Integrates well with other systems like ServiceNow ITSM, streamlining operations.
Cons:
The integration process can be lengthy, especially when connecting Aisera to third-party solutions.
Some users have mentioned that customer support is slow, and responses to issues do not meet the promised timelines.
Testimonial:
Aisera has enabled our company to provide excellent chatbot experiences to our employees for their IT needs.
Conversational AI platforms go beyond rule-based responses by understanding user intent and proactively engaging customers.
These platforms initiate conversations, guide users with relevant resources, provide additional product information, and suggest next steps.
2. Personalization:
Conversational AI platforms use historical context to deliver personalized interactions and remove the need for customers to repeat themselves.
They offer tailored recommendations, which make it easier for businesses to cross-sell and upsell products customers may not have initially considered.
3. Consistent Customer Experience:
Conversational AI ensures uniformity across customer interactions by handling repetitive, information-seeking tasks.
Businesses can program AI to manage a variety of use cases to create a consistent customer journey.
This approach frees up human agents to focus on complex queries and thus improve the overall support experience.
4. Scalability:
Conversational AI platforms help businesses to scale their support operations quickly and cost-effectively.
They provide the flexibility to expand support capabilities for new markets or manage temporary surges in demand, such as during holiday seasons.
This scalability ensures businesses can meet growing customer needs without significant overhead.
5. Cost Efficiency:
Maintaining a customer service team around the clock is expensive.
Conversational AI platforms help businesses deploy intelligent chatbots that operate 24/7 and reduce support costs while delivering instant responses.
This cost-effective solution helps businesses provide continuous support without compromising quality.
Key Features to Look For in Conversational AI Platform
AI Capabilities: Look for a platform that uses advanced AI to understand and respond accurately, especially to complex queries. A platform that learns and evolves from interactions is key to long-term effectiveness. This adaptability ensures the AI stays relevant as your business grows and customer needs change.
Easy Setup and User-Friendly Interface: A simple setup is important to avoid wasting time and resources. Choose a platform with a user-friendly interface that simplifies training and onboarding. This will help ensure your team, even non-technical staff, can quickly learn to use the tool effectively.
Integration with Existing Systems: Integration with your current systems is important. Choose a conversational AI platform that works smoothly with your existing tools and workflows. This minimizes disruptions and makes it easier to incorporate the new technology into your daily operations.
Scalability and Flexibility: Your business will likely grow, and your AI platform should grow with it. Look for a platform that scales easily to handle increased interactions while maintaining efficiency. It should also be flexible enough to adapt to specific business requirements so that it remains valuable as your needs evolve.
Multi-Language Support: In a global marketplace, multi-language support is important. A good conversational AI platform should support multiple languages to serve a diverse customer base. This ensures you can reach and support customers in their preferred language to boost their overall experience.
How does Conversational AI Drive Revenue?
Here’s how conversational AI can directly contribute to driving revenue:
1. Hyper-Personalization for Increased Conversions:
Conversational AI tools can gather data about customer preferences, history, and intent for businesses to offer tailored interactions.
For example, an AI chatbot in a retail business can ask if a customer is looking for a specific product, recommend related items, or offer assistance with an ongoing order.
This personalized approach makes it easier for customers to complete their purchases and build loyalty to increase both short-term conversions and long-term revenue.
2. Smarter Targeting to Reach the Right Audience:
Conversational AI software helps businesses precisely target their audience by analyzing user behavior and data.
For instance, a realtor can use AI to target first-time homebuyers with relevant property listings, or a lender can reach out to consumers interested in refinancing with personalized loan offers.
By delivering the right content to the right customers, businesses increase their chances of conversion and drive higher sales.
3. Proactive Messaging for Improved Engagement:
Conversational AI doesn’t wait for customers to reach out, it proactively anticipates their needs.
AI can send personalized offers, content, or support based on where customers are in their journey.
This proactive approach, especially when powered by generative AI, improves customer engagement and ensures that prospects are always aware of relevant promotions or new products to drive more conversions and sales.
4. Faster Lead Qualification:
One of the important benefits of conversational AI is its ability to engage with potential leads early in the buying process.
AI chatbots can ask qualifying questions, collect valuable information, and even route qualified leads to the right sales agents.
By capturing crucial data early on, businesses can ensure they are targeting high-quality leads to reduce bounce rates and optimize their lead generation efforts, which leads to faster conversions and higher revenue potential.
5. Up-Selling and Cross-Selling to Increase Order Value:
Conversational AI boosts average order size by recommending additional products or services to customers.
For instance, if a customer is purchasing a laptop, the AI can suggest accessories like chargers or headphones.
These recommendations not only improve the customer’s shopping experience but also increase sales revenue by driving up the average order value.
6. Improving the Customer Buying Experience:
AI-driven chatbots and virtual assistants make the buying process easier and more enjoyable.
Whether it’s helping customers find products, providing instant support, or offering personalized product recommendations, conversational AI simplifies the buying experience.
This leads to higher customer satisfaction, fewer abandoned carts, and more repeat business, all of which directly contribute to improved revenue.
7. Reducing Operational Costs for Increased Profitability:
Conversational AI reduces the need for human agents to handle repetitive tasks, such as answering frequently asked questions or processing simple inquiries.
By automating these functions, businesses can cut operational costs while reallocating human resources to higher-value activities.
This efficiency not only increases profitability but also helps businesses scale without significant overhead costs, driving more revenue.
How to Choose the Right Conversational AI Platform?
Business Objectives: Clearly define your business goals and choose a conversational AI platform that aligns with those objectives. For example, if your focus is on international expansion, select a platform with auto-translation features in multiple languages. If you aim to improve customer experience across various devices and browsers, opt for a platform that offers customization options.
No Code vs. Low Code: Conversational AI platforms come in two primary forms: no-code and low-code. No-code platforms help users to deploy chatbots without any coding, which makes them ideal for non-technical users but less flexible. Low-code platforms, while requiring some coding, provide greater customization options and are more suitable for those with technical expertise.
Assess Pre-trained AI Model: AI platforms rely on pre-trained models, which form the core of the technology. The model’s accuracy depends on the quality and scope of the data it was trained on. Choose an AI tool that uses industry-specific data for minimal fine-tuning and better alignment with your business needs.
Compatibility & Integrations: Ensure that the conversational AI platform integrates well with your existing systems, such as CRM and customer support tools. The platform should also work with communication channels like Teams, WhatsApp, and Slack for operations.
Data Security: Given that conversational AI platforms handle both customer and business data, it’s important to assess the platform’s security measures. Review the vendor’s data privacy policies and compliance with regulations like GDPR, HIPAA, and CCPA. Also, check for any past data breaches to ensure your data remains secure.
Conclusion
As customers increasingly expect faster service and personalized interactions, conversational AI has become an essential tool for businesses. To make the most of this technology, choose the right platform from the top 10 tools covered in this blog. With MeetRecord, you can deliver the fast, personalized service customers demand while strengthening your bottom line.
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