Conversational AI Platform: Top Picks in 2024

Can your business keep up with the demand for fast, efficient customer interactions? Conversational AI platforms have become essential for businesses to automate communication and provide real-time, human-like support. These AI-powered tools are a necessity for companies looking to stay competitive and meet high customer expectations.

This blog will explore how conversational AI transforms the way businesses manage customer service, streamline internal processes, and boost overall efficiency. 

Whether you’re handling thousands of inquiries a day or striving to improve personalized interactions, conversational AI platforms like Odin AI offer solutions that automate tasks, reduce response times, and maintain customer satisfaction.

Find what matters fast—try Odin AI today! and see how AI can improve your customer experience.

What is Conversational AI?

Conversational AI is the technology that enables computers to mimic real, human conversations. It powers everything from virtual assistants to conversational interfaces used in customer service and sales.

Unlike basic chatbots that follow rigid, pre-programmed responses, conversational AI software leverages advanced technologies like Natural Language Processing (NLP) and Natural Language Understanding (NLU) to understand not just the words a user types but the meaning and intent behind them.

To put it simply, conversational AI software is what allows businesses to go beyond simple yes/no interactions. 

For example, instead of a basic chatbot that can only answer simple, scripted questions, a conversational AI system can engage in meaningful, context-aware conversations.

If a customer asks about product availability, the AI can:

• Provide the information

• Suggest related products

• Handle follow-up questions

Odin AI takes this concept even further by continuously learning from each interaction. This allows its conversational AI software to get smarter over time.

Get powerful AI capabilities for your business—join Odin AI now!

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Top Conversational AI Platforms

When it comes to selecting the best conversational AI platform for your business, it’s important to compare the top options available. Below is a look at the 12 best conversational AI platforms for 2024, with Odin AI leading the way as the most advanced and versatile option on the market.

1. Odin AI

Odin AI is a comprehensive conversational AI platform that empowers businesses with advanced capabilities to streamline and automate customer interactions through sophisticated conversational interfaces.

Leveraging natural language processing and machine learning, Odin AI creates responsive, context-aware interactions that deliver high-quality customer experiences.

With Odin AI, businesses can effectively manage customer engagements across multiple channels, including chat, social media, email, and voice.

The platform’s extensive integration options with CRM systems, business applications, and productivity tools guarantee seamless workflow integration, while its “AI Agents” feature enables companies to deploy large language models (LLMs) for their unique conversational needs.

Odin AI’s features, such as model finetuning and diverse LLM integrations, allow organizations to customize conversational interfaces and workflows.

With support for on-premise deployment, compliance with data privacy standards, and “White Glove Service” for enterprise clients, Odin AI delivers an all-in-one solution.

Pricing

You can choose from these pricing plans:

• Teams Plan: Costs $2,500 per month and is ideal for small and medium businesses
• Enterprise Plan: Custom pricing and is suitable for large-scale corporations and businesses

Both plans give you access to Agentic AI for every business function, whether it’s sales, marketing, customer support, IT, healthcare, HR, finance, or legal.

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2. IBM Watson Assistant

Source: Ibm.com

IBM Watson Assistant is a conversational AI platform designed to deliver consistent and intelligent customer support across multiple channels.

It features a user-friendly interface with drag-and-drop conversation building so businesses can create generative AI assistants for their needs.

With large language models, natural language understanding, and intelligent context gathering, Watson Assistant provides accurate, context-aware responses.

Its retrieval-augmented generation (RAG) guarantees up-to-date answers grounded in a company’s knowledge base, which makes it suitable for applications in customer service, HR, and marketing.

Pricing

• Lite: $0/month – Includes essential conversational AI features

• Plus: Starting at $140/month – Includes phone and SMS integration, 1,000 MAUs (monthly active users)

• Enterprise: Custom pricing – Offers enterprise-grade support, data governance, dedicated meeting for pricing configurations

3. Amazon Lex

Source: Aws.amazon.com

Amazon Lex is a conversational AI service from AWS that enables businesses to create sophisticated voice and text-based interfaces.

Leveraging natural language understanding, Lex identifies user intent, maintains conversational context, and automates customer interactions across various languages.

Its seamless integration with other AWS services, such as Lambda for backend logic and Kendra for FAQ support, makes it versatile for applications ranging from contact centers to productivity bots.

Pricing

• Text requests: $0.00075 per text request

• Speech requests: $0.004 per speech request

4. Google Dialogflow

Source: Cloud.google.com

Google Dialogflow is a comprehensive conversational AI platform designed to create intelligent virtual agents that improve customer and agent experiences.

With robust support for both text and voice-based interactions, Dialogflow allows businesses to handle complex conversations across multiple channels and devices.

Key features include a powerful visual flow builder, support for over 100 languages, and seamless integration with Google Cloud services.

The platform also provides AI-driven tools for customer steering, which allow dynamic responses based on user intent, as well as state-based data models for nuanced interaction management.

Pricing

• $0.007 per text request

• $0.001 per second of audio input/output

5. Microsoft Bot Framework

Source: Dev.botframework.com

The Microsoft Bot Framework is a versatile conversational AI platform designed to create enterprise-level bots with advanced natural language capabilities.

Using Azure Cognitive Services, it enables bots to understand, speak, and respond naturally to users across channels and devices.

It is open and extensible, so developers can use open-source SDKs and a range of tools to build, test, and connect bots that are highly adaptable and scalable.

The framework supports enterprise-grade solutions with robust security and integration options, which provides businesses complete ownership and control over their data.

Additionally, it includes Bot Framework Composer, a visual authoring tool that simplifies bot development for multi-disciplinary teams.

Pricing

• Free: Unlimited messages on standard channels; 10,000 messages per month on premium channels

• S1: Unlimited messages on standard channels; $0.50 per 1,000 messages on premium channels

6. Yellow.ai

Source: Yellow.ai

Yellow AI is a conversational AI platform designed to improve customer service automation with a focus on enterprise needs.

It provides seamless, human-like interactions through voice, chat, and email, powered by in-house large language models (LLMs) that prioritize speed and accuracy.

Yellow AI integrates with over 150 systems so businesses can go live quickly while offering 24/7 support across 35+ channels.

The platform also supports 135+ languages to ensure global reach. Features such as dynamic AI agents, AI analytics, and marketplace integrations are crafted to deliver an efficient and personalized customer experience supported by robust enterprise-grade security.

Pricing

• Free plan

• Enterprise plan: Custom pricing

7. Cognigy

Source: Cognigy.com

Cognigy.AI is an enterprise-grade conversational AI platform designed to automate contact centers and improve customer experiences.

With strong backend integration, Cognigy.AI enables businesses to create highly customizable virtual assistants that can handle complex customer service tasks.

It is designed to facilitate smooth interaction between AI and human agents. This guarantees that more challenging queries are passed on.

Cognigy.AI’s robust capabilities make it suitable for businesses looking to provide a hybrid AI-human experience in customer service.

Pricing

• Contact for pricing

8. Aisera

Source: Aisera.com

Aisera offers an advanced conversational AI platform designed to improve employee productivity and customer satisfaction.

With its Agentic AI Copilot, Aisera provides specialized AI agents for various roles, including proactive agents, knowledge retrieval, and dynamic action management.

This platform leverages domain-specific large language models and intentless conversational AI to deliver highly accurate and context-aware responses.

Aisera is optimized for enterprise needs with features like universal AI Copilot, orchestration, reasoning engines, and proactive incident detection. This makes it suitable for IT service management and customer support across multiple industries.

Pricing

• Contact for pricing

9. Avaamo 

Source: Avaamo.ai

Avaamo is a conversational AI platform that brings voice technology to businesses so brands can create unique, emotionally resonant voice experiences for their identities.

With its advanced AI voice capabilities, Avaamo allows companies to engage audiences through interactive, personalized interactions across diverse channels.

The platform supports voice cloning, localization across multiple languages, and scalable AI-driven voice assistants, which make it suitable for building customer-facing virtual agents.

Avaamo’s Conversational Analytics feature offers deep insights into user behavior and engagement, which provides tools to visually analyze customer journeys, sentiment, and learning insights.

The platform also includes an Assisted Learning module for continuous improvement, where agents adapt and refine responses based on user feedback.

Pricing

• Contact for pricing

10. Oracle Digital Assistant

Source: Oracle.com

Oracle’s conversational AI platform, Oracle Digital Assistant, is designed to create seamless and interactive experiences for businesses through text, chat, and voice interfaces.

It integrates advanced natural language understanding to interpret user input and context, which makes it versatile for applications across customer service, human resources, and resource planning.

The platform includes pre-built skills and templates to simplify deployment and enable quick integrations with Oracle applications.

Oracle Digital Assistant also supports multi-channel capabilities so users can interact via web, mobile, and popular messaging platforms.

With its ability to handle complex queries and automate responses, it improves productivity while offering a scalable, cloud-based solution for enterprises looking to incorporate conversational AI in their operations.

Pricing

• Oracle Digital Assistant Cloud Service: $0.0232 (per request with a minimum of 250 requests per hour)

11. Boost.ai

Source: Boost.ai

Boost.ai offers a robust conversational AI platform focused on automating and enhancing customer experience (CX) for enterprises.

It features a no-code conversation builder so users can create advanced conversation flows without technical expertise.

Boost.ai supports an omnichannel experience that provides seamless integration across platforms like Slack, Zendesk, and Microsoft Teams.

The platform also emphasizes scalability with advanced NLP and NLU capabilities to handle a high volume of inquiries with a consistent resolution rate.

Additionally, Boost.ai incorporates LLM integration for nuanced, AI-assisted responses. Its intuitive training editor further simplifies updates to allow real-time content adjustments based on AI-suggested data.

Pricing

• Contact for pricing

12. Tars

Source: Hellotars.com

Tars is a conversational AI platform designed to improve customer and employee interactions by simplifying complex workflows into intuitive, automated dialogues.

With intelligent automation capabilities, Tars aids in reducing customer support costs, which eases HR workloads and optimizes IT resources.

Tars integrates seamlessly with major tools like Zapier, Slack, and HubSpot. This offers a flexible solution for enterprises seeking robust automation in customer support, marketing, and employee services.

Pricing

• Starter: Free

• Freelancer: $19

• Agency: $69

Simplify workflow automation with Odin AI’s intuitive platform—sign up today!

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Benefits of Conversational AI for Businesses

The rise of conversational AI technology has brought significant benefits to businesses across various industries. By leveraging conversational AI and natural language generation, businesses can improve user experiences, reduce operational costs, and streamline workflows.

Below, we’ll explore some of the key advantages that conversational AI solutions bring to businesses.

Improves Customer Satisfaction

Conversational AI can improve customer satisfaction by providing instant, relevant responses to customer queries.

Unlike human agents, AI can operate 24/7. Customers no longer have to wait on hold; AI responds immediately. This guarantees quick issue resolution, which improves overall customer experience.

AI also analyzes past interactions to offer specific responses. For example, a conversational AI assistant can greet returning customers by name and recommend products based on previous purchases.

Reduces Operational Costs

One of the primary reasons businesses turn to conversational AI platforms is the potential for cost reduction. By automating routine tasks that typically require human intervention, companies can reduce labor costs while maintaining a high level of customer service.

How conversational AI reduces operational costs:

• Automating repetitive tasks

• Scaling customer service

• Minimizing human error

AI manages basic inquiries and routine processes like checking order statuses and answering FAQs. This minimizes the need for a large customer service team.

As businesses grow, so do customer inquiries. Conversational AI technology can handle multiple conversations simultaneously.

Automated systems reduce the likelihood of mistakes in customer service, especially in tasks like order processing or providing accurate information.

Increases Engagement with Natural Language Conversations

Conversational AI platforms enable businesses to engage customers in natural language conversations.

By incorporating automatic speech recognition and advanced natural language processing capabilities, these platforms understand and respond to spoken queries.

This improvement in engagement boosts customer experience by allowing users to communicate with AI in the way that feels most natural to them—whether through voice or text.

Boost satisfaction and save costs—try Odin AI’s conversational AI today!

Key Features to Look for in Conversational AI Platforms

When choosing conversational AI platforms, it’s important to know which features will benefit your business the most.

Here are the key features to prioritize when evaluating conversational AI platforms.

Robust AI Capabilities

At the core of any good conversational AI platform is its ability to understand and interact with users in a natural, human-like manner.

What to look for:

• NLP and NLU

• Machine learning (ML)

• Contextual awareness

The platform should be able to understand complex human language. This includes slang, variations in tone, and multiple languages.

A good platform should continually improve over time by learning from user interactions. This helps the system become more accurate and capable as it processes more conversations.

The AI should be able to maintain context throughout a conversation. It should remember previous exchanges and make intelligent decisions based on that context.

Easy Set-Up and Integration

One of the biggest challenges for businesses implementing new technology is how easily it can be integrated into their existing systems. A conversational AI platform should offer easy setup and integration with your business’s current tools and workflows.

What to consider:

• Seamless integration

• Customization options

• Quick deployment

Look for platforms that integrate with your CRM, help desk software, e-commerce platform, and other key business tools. For instance, integrating Salesforce with Odin’s AI agent creates a powerful solution for streamlining customer interactions and automating sales processes.

Every business is unique, so the platform should offer customization options that allow you to tailor it to your specific needs.

The faster you can deploy the AI system, the quicker you’ll start seeing its benefits. A good platform should be easy to configure without requiring extensive technical skills or large IT teams.

Omnichannel Communications

Modern customers expect to engage with businesses across multiple platforms, whether that’s through a website, social media, messaging apps, or even voice interfaces. Therefore, it’s essential that your conversational AI platform supports omnichannel communication.

Key omnichannel features:

• Multiple communication channels

• Consistent experience

• Real-time responses

The platform should be able to handle customer conversations across various channels. This includes voice, text, email, live chat, and social media.

The AI should provide a consistent and unified experience across all channels. For example, if a customer starts a conversation on your website’s live chat and then moves to email, the AI should be able to continue the conversation without starting from scratch.

No matter which channel the customer uses, the AI should be able to respond instantly. This helps maintain engagement and keeps users satisfied by providing timely assistance.

Improve your customer interactions with Odin AI today!

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Use Cases and Applications of Conversational AI

Conversational AI systems have evolved to serve many different industries. These systems use natural language processing and machine learning to automate repetitive tasks, streamline processes, and provide personalized customer service. 

Below are some of the most common use cases and applications of conversational AI solutions in various sectors.

1. Customer Service

One of the most popular uses of conversational AI is in customer service operations, where businesses can provide immediate, automated responses to customer inquiries.

Conversational AI platforms can handle large volumes of requests simultaneously. They can offer quick solutions to common questions, such as order tracking, account management, or technical troubleshooting through conversational interfaces.

Key benefits for customer service:

• 24/7 availability

• Reduced workload for support teams

• Personalized experiences

AI-powered assistants provide support at any time. This reduces wait times and improves the overall customer experience. Automating routine inquiries allows human agents to focus on more complex issues. 

By leveraging machine learning, AI can also draw from user history to offer specific responses.

2. Virtual Assistants

Conversational AI powers virtual assistants. From tools like Google Home and Amazon Alexa to custom-built enterprise solutions, virtual assistants use natural language processing to handle a wide variety of tasks. 

This includes scheduling, reminders, and information retrieval, all through conversational interfaces.

Key benefits of virtual assistants:

• Personalized recommendations

• Voice and text interaction

• Automating tasks

Based on past interactions, virtual assistants offer specific recommendations. They work across both voice-activated devices and text-based interfaces. 

They also automate repetitive tasks such as setting reminders, sending messages, or controlling smart home devices.

3. Automated Market Research

Companies are leveraging conversational AI solutions for automated market research. They use AI-driven conversations to gather valuable customer feedback in real time.

Key benefits of automated market research:

• Real-time feedback

• Sentiment analysis

• Reduced costs

Conversational AI systems enable companies to gather instant feedback. Natural language processing allows AI to analyze the tone and sentiment of customer responses. This helps businesses understand customer opinions on their products. 

4. Automated Sales

Conversational AI is also changing sales processes by automating customer interactions throughout the sales funnel. AI sales assistants can engage potential clients, provide product recommendations, answer questions, and guide customers toward making purchases.

Key benefits for sales:

• Lead qualification

• Upselling and cross-selling

• 24/7 sales support

AI can qualify leads by engaging prospects and gathering important details about their needs and preferences. Conversational AI suggests complementary products based on the customer’s current interests. 

AI manages initial customer inquiries around the clock. This guarantees potential leads are nurtured even outside business hours.

Transform customer service with Odin AI’s conversational AI platform!

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Evaluating Conversational AI Platforms for Your Business

Choosing the right conversational AI platform for your business can have a big impact on your customer service, sales processes, and overall efficiency. 

These are some key considerations to help you make an informed decision:

1. Define Your Goals

Before selecting a conversational AI platform, it’s important to have a clear understanding of what you want to achieve. Different platforms offer different features, so knowing your goals will help you narrow down the options.

Questions to ask yourself:

• Do you want to improve customer service response times?

• Are you looking to increase sales through automated recommendations?

• Is your goal to reduce operational costs by automating routine tasks?

Having clear objectives will guide your decision-making process and guarantee that the platform you choose aligns with your business goals.

For example, if your primary goal is to improve customer service, look for a platform that excels in handling customer queries, integrating with your CRM, and providing 24/7 support.

2. Evaluate Core Features

The effectiveness of a conversational AI platform largely depends on its core features. While most platforms offer basic AI-driven conversations, the level of sophistication and customization varies.

A platform with strong NLP capabilities will be able to understand and process complex queries. This includes slang, multiple languages, and varied sentence structures.

A platform that can learn from user interactions and improve over time is important for businesses that expect to scale their AI usage.

3. Usability and Scalability

It’s important to evaluate how easy the platform is to use and how well it can scale with your business. A system that is overly complex or difficult to implement could slow down your operations rather than improve them.

Consider these factors:

• Ease of setup

• Customization options

• Scalability

Look for platforms that offer a user-friendly interface and can be set up without requiring extensive technical knowledge. This guarantees a quicker deployment and smoother transition.

Check that the platform allows you to customize conversation flows, response styles, and integrations according to your business needs.

As your business grows, the platform should be able to handle an increasing volume of interactions. Whether you’re expanding your customer base or adding new communication channels, the platform must scale accordingly.

For instance, a small business might start with a basic package but needs the ability to scale up as customer inquiries increase. 

4. Support and Maintenance

A reliable conversational AI platform should come with strong customer support and ongoing maintenance to guarantee that it remains effective over time. Regular updates are important for keeping the AI up to date with evolving user behaviors and language patterns.

Key considerations:

• Customer support

• Maintenance and updates

• Customization support

Check that the platform provider offers comprehensive support, whether through chat, phone, or email. Quick access to support can make a big difference when technical issues arise.

Look for platforms that provide regular updates to their AI models. This makes sure that the system continues to improve and adapt to new challenges.

Some platforms offer dedicated support for customizing the AI to fit your business’s specific needs, which can be a valuable resource if your requirements are complex.

5. Analyze Costs and Security

Understanding the costs associated with a conversational AI platform is important to making the right choice for your budget. Costs can vary widely based on the features offered, the scale of use, and additional services like customization and support.

What to consider when analyzing costs:

• Pricing structure

• Hidden costs

• Return on investment (ROI)

Some platforms offer pay-as-you-go models, while others charge based on the number of interactions or users.

Be aware of any additional fees for support, integrations, or scaling up as your business grows. Understanding these costs upfront can help prevent unpleasant surprises later.

Consider how the platform will save costs or increase revenue. For example, automating customer service can reduce the need for a large team, leading to long-term savings.

In addition to costs, security is an important consideration, especially if your AI platform handles sensitive customer data. Look for platforms that comply with industry security standards like GDPR and HIPAA.

Transform your customer interactions with the power of conversational AI. Try Odin AI now!

Upgrade Your Business with Odin AI, the Leading Conversational AI Platform

Odin AI is the best conversational AI platform for businesses looking for a versatile, scalable, and advanced conversational AI solution.

With its cutting-edge AI technology, powerful features, and ability to deliver truly human-like interactions, Odin AI stands out as the top choice for automating customer interactions.

If you’re ready to take your customer service and business operations to the next level, Odin AI is the solution you’ve been looking for.

Book a demo today to experience the full capabilities of Odin AI and see how it can upgrade the way your business communicates with customers.