23 Best Conversation Intelligence Software in 2025 (+ Pricing)

Have you ever thought about having more agents, but at a fraction of the cost? No, this is not a recruitment pitch. We’re talking about Conversation AI, which creates human-like interactions with remarkable efficiency.
No matter the size of your business, staying competitive means keeping up with technology. Conversational AI is the latest game-changer, helping businesses respond faster, automate support, and cut costs.
Consider these stats: 80%¹ of consumers expect quick responses, and AI can reduce customer support resolution times by as much as 50%². Drawing a conclusion here is as easy as connecting A to B: Using AI in call intelligence solutions is the way to go.
In this article, we’ll explore how conversational AI works, its key benefits, and how to choose the right solution for your business.
Key Takeaways:
- Conversation intelligence software helps your team work smarter by analyzing calls and offering real-time feedback.
- With smarter lead prioritization and automated follow-ups, your sales team can focus on closing more deals faster.
- AI-driven tools ensure quicker response times and personalized interactions, keeping your customers happy and engaged.
- These platforms scale seamlessly with your business while ensuring data security and compliance.
What is conversation intelligence software?
Conversational intelligence software is an AI-powered tool that uses natural language processing and machine learning. It’s trained to offer human-like and context-aware interactions between computers and users.
Unlike older systems that just retrieved information, today’s conversational AI can hold natural, open-ended conversations, draw insights, offer advice, and even engage in debates or philosophical discussions.
How does conversational AI work? At its core, conversational AI listens, understands, and responds just like a human (well, almost). Here’s how it breaks down:
- Speech Recognition: Converts spoken words into text so the system can process what’s being said.
- Natural Language Understanding (NLU): Interprets the meaning behind the words to understand intent.
- Dialogue Management: Keeps track of the conversation’s flow and context (so it doesn’t get lost mid-conversation).
- Response Generation: Crafts a suitable reply based on the user’s input and intent.
- Text-to-Speech Synthesis: Converts the text-based response back into speech if needed.
With machine learning, these systems actually get smarter over time. The more conversations they have, the better they become at understanding context, remembering past interactions, and engaging in more natural, human-like exchanges.
Get AI-Powered Conversation Intelligence
23 Best Conversational Intelligence Software for 2025
You’ve probably noticed how much better virtual assistants and chatbots have gotten in recent years. That’s thanks to conversational AI’s deep learning and large language models which are trained on massive datasets.
These innovations, in turn, are transforming customer service, streamlining operations, and making human-computer interactions more intuitive and personalized.
But when there are many options, there is also decision fatigue. So, what is the best software for you?
Here’s our pick of the 23 best conversational AI software options on the market right now.
Top Conversational AI Providers
These platforms offer AI-driven conversational intelligence that can transform your customer interactions. Additionally, they help streamline workflows, improve team performance, and drive smarter business decisions.
1. CloudTalk
One of the best conversation intelligence software, CloudTalk is a robust call center solution with powerful conversational intelligence features. It’s designed to help businesses streamline communications, boost productivity, and improve customer interactions.

With advanced AI features like Transcript Search and real-time analytics, CloudTalk empowers teams to gain deeper insights, optimize performance, and close more deals.
Whether you’re running a sales team, managing customer support, or leading company-wide communications, CloudTalk offers specialized solutions.
Key Features
- AI-Powered Transcript Search: Quickly locate key phrases or words in call transcripts, ensuring faster issue resolution and improved decision-making.
- Real-Time Sentiment Analysis: Understand customer emotions during calls to help agents respond effectively.
- Smart Call Routing: Automatically direct calls to the most suitable agents based on skills, sentiment, or call history.
- Actionable Analytics: Monitor team performance, identify trends, and track compliance for continuous improvement.
- Seamless Integrations: Connect easily with Salesforce, HubSpot, Pipedrive, Zendesk, and other popular CRMs.
pros & cons
Pros:
- Quick setup with minimal technical requirements
- Highly customizable call flows and workflows
- Excellent CRM and business tool integrations
- Robust AI analytics for improved insights
Cons:
- Onboarding coach and phone support starting from the Expert plan
- There is no support for landlines and traditional PBX
- Lack of omnichannel capabilities (email, video conferencing, etc.)
Best For: Businesses of all sizes seeking real-time conversational insights, improved call management, and seamless CRM integration.
Pricing
- Starter: $25/user/month (billed annually) – 500 outbound minutes, unlimited inbound calls, call recording, and basic support.
- Essential: $29/user/month (billed annually) – 1,000 outbound minutes, 24/7 support, advanced analytics, IVR, and global SMS/MMS.
- Expert: $49/user/month (billed annually) – Unlimited domestic calls, Salesforce integration, advanced sales features, and SSO.
- Custom: Contact for pricing – Unlimited global calls, priority support, custom reporting, and enterprise-level security.
2. Gong
Gong is a revenue intelligence platform that leverages AI-powered conversation intelligence to analyze sales interactions across multiple channels.
It goes beyond basic transcription, identifying key moments, tracking discussion points, and providing actionable insights to help sales teams understand customer behavior.
Key Features
- AI-Driven Insights: Identifies patterns and trends in sales conversations to refine strategies.
- Sentiment Analysis: Understands customer emotions to improve engagement.
- Deal Intelligence: Provides a comprehensive view of the sales pipeline, highlighting risks and opportunities.
- Live Insight Sharing: Enables teams to collaborate and act on real-time data.
- Revenue Forecasting: Uses historical data and AI to predict future sales performance.
pros & cons
Pros:
- Sentiment analysis for better customer understanding
- Real-time insights to adjust sales strategies
- Revenue forecasting for improved decision-making
Cons:
- No free trial available
- Requires a minimum of three seats to get started
Best For: Sales teams looking to optimize their pipeline management with AI-driven insights and deal intelligence.
Pricing
Gong offers customized pricing based on team size and business needs. Contact Gong for a tailored quote.
3. Microsoft Bot Framework
Microsoft Bot Framework is a comprehensive toolkit for building conversational applications across multiple channels, from websites and apps to Microsoft Teams, Skype, and more. It integrates closely with Azure services, which makes it a great fit for businesses already in the Microsoft ecosystem.
Key Features
- Omnichannel Deployment: Build once and deploy across voice, text, and social platforms.
- LUIS Integration: Use Microsoft’s Language Understanding service for natural, context-aware responses.
- QnA Maker: Quickly create FAQ bots from existing documents and knowledge bases.
- Azure Connectivity: Leverage Azure AI and Cognitive Services for enhanced analytics and performance.
- Adaptive Dialogs: Manage complex, multi-turn conversations with greater flexibility.
pros & cons
Pros:
- Familiar Ecosystem: Ideal for teams already working with Microsoft and Azure.
- Scalable Architecture: Handles enterprise-level workloads with minimal performance issues.
- Rich Developer Community: Offers extensive documentation, tutorials, and community support.
Cons:
- Development Required: More coding effort compared to turnkey chatbot solutions.
- Costly Add-Ons: Advanced AI features and Azure usage can drive up expenses.
- Limited Non-English Support: LUIS languages are expanding but still vary in feature depth.
Best For: Organizations using Microsoft Azure or looking for a flexible, developer-friendly chatbot framework.
Pricing
- Free Tier: Unlimited messages on standard channels, 10,000 messages/month on premium channels.
- S1 Plan: $0.50 per 1,000 messages on premium channels.
- Additional Costs: Azure App Services, Application Insights, Language Understanding (LUIS), QnA Maker, and Speech services billed separately.
- Custom Quotes: Contact Azure sales for personalized pricing.
4. Jiminny
Jiminny is a conversation intelligence platform designed for sales, customer service, marketing, and product development teams. It automatically logs call details, transcriptions, and key insights into a company’s CRM.
Seamless data processing ensures that customer interactions are accurately recorded and easily accessible. This helps teams track deal progress and maintain comprehensive customer profiles without manual effort.
Key Features
- AI-Powered “Ask Jiminny”: Provides real-time assistance by analyzing live conversations and suggesting responses.
- Automated Call Logging: Captures and syncs key details and transcriptions into the CRM.
- Call Scoring System: Evaluates conversations based on predefined criteria to improve coaching and training.
- Video & Audio Recording: Stores and reviews interactions for deeper insights.
- Free Call Listening: Allows team members to access and learn from past conversations.
pros & cons
Pros:
- Automated call scoring for performance tracking
- Video and audio recording for detailed conversation analysis
- Free call listening for coaching and training
Cons:
- Requires a setup fee to get started
- Limited integrations compared to some competitors
Best For: Sales teams and managers looking for AI-powered insights, structured call evaluations, and real-time coaching to enhance performance.
Pricing
Jiminny offers customized pricing based on business needs. A 14-day free trial is available. Contact Jiminny for a tailored quote.
5. Google Dialogflow
Google Dialogflow offers natural language understanding powered by Google’s machine learning. It’s known for its simplicity and extensive language support, making it suitable for global customer engagement.
Key Features
- Intuitive Interface: Build chatbots quickly with minimal coding.
- Language Variety: Supports a wide range of languages for international reach.
- Advanced Fulfillment: Connects with external APIs for real-time data retrieval.
- Dialogflow CX: Handles more complex, multi-turn conversations at scale.
- Integration Options: Works with Google Assistant, websites, telephony, and more.
pros & cons
Pros:
- User-Friendly: Ideal for teams new to conversational AI.
- Robust Language Support: Great for businesses with a global audience.
- Flexible Pricing: Offers a free tier and pay-as-you-go model.
Cons:
- Limited On-Premises Options: Primarily cloud-based, limiting offline deployments.
- Less Tailored for Enterprise: May require additional development for large-scale use.
- Potential Complexity in Dialogflow CX: Advanced features come with a steeper learning curve.
Best For: Teams seeking a straightforward, multilingual chatbot solution that’s easily integrated into Google’s ecosystem.
Pricing
- Free Trial: $600 credit valid for 12 months upon first use of Dialogflow CX.
- Text Requests: $0.007 per request.
- Audio Input/Output: $0.001 per second of audio processing.
- Design-Time Requests: No charge for building, updating, or reading agent resources.
- Generative AI Requests: Custom pricing.
6. Kore.ai
Kore.ai is a leading conversational AI platform designed specifically for enterprises looking to automate complex business interactions. It offers AI-powered virtual assistants, intelligent process automation, and sophisticated natural language processing to improve both customer and employee experiences.

Key Features
- Advanced NLP Engine: Understands complex queries across multiple languages.
- Omnichannel Deployment: Supports web, voice, messaging apps, and more.
- Custom Workflows: Design and automate business processes without heavy coding.
- Sentiment Analysis: Monitors customer emotions for better engagement.
- Security & Compliance: Meets strict regulatory requirements for data handling.
pros & cons
Pros:
- Highly customizable workflows and automation.
- Strong analytics for tracking performance.
- Scales effectively for large enterprises.
Cons:
- Requires technical expertise for full customization.
- Higher cost for advanced features.
- Setup can be time-consuming for smaller teams.
Best For: Large enterprises needing customizable, AI-driven automation for customer and employee interactions.
Pricing
- Custom pricing for AI solutions across Work, Process, and Service
7. LivePerson
LivePerson focuses on AI-driven messaging solutions for businesses aiming to shift from traditional voice channels to digital messaging platforms. Its AI-powered bots and messaging tools help brands engage customers on their preferred platforms, from SMS to WhatsApp.

With real-time AI recommendations, LivePerson helps businesses improve engagement, reduce response times, and boost customer satisfaction.
Key Features
- Conversational Commerce: Guides customers through purchases using messaging.
- AI-Powered Chatbots: Automates responses for faster support.
- Real-Time Agent Assistance: AI suggests responses to live agents in real time.
- Cross-Channel Messaging: Supports SMS, WhatsApp, Facebook Messenger, and more.
- Conversation Analytics: Provides insights into customer sentiment and engagement.
pros & cons
Pros:
- Excellent for businesses focused on messaging platforms.
- Helps reduce wait times with AI-driven suggestions.
- Easy integration with various messaging channels.
Cons:
- Pricing can be high for smaller businesses.
- May require additional development for complex workflows.
- Voice support is not as robust as messaging features.
Best For: Enterprises aiming to enhance digital messaging experiences and improve customer engagement across multiple channels.
Pricing
- Custom plans (Bronze, Silver, Gold) with advanced AI, automation, and analytics
8. Verint
Verint offers AI-powered solutions focused on workforce engagement and customer experience. Known for its analytics and automation tools, Verint helps enterprises improve customer satisfaction while optimizing employee productivity.
It specializes in contact center operations, providing businesses with advanced insights into customer interactions and agent performance.
Key Features
- Speech Analytics: Analyzes outbound calls to understand customer sentiment.
- Automated Quality Management: Tracks agent performance automatically.
- Predictive Analytics: Uses historical data to forecast customer needs.
- Workforce Optimization: Streamlines scheduling and task management.
- Omnichannel Support: Covers voice, chat, email, and social channels.
pros & cons
Pros:
- Strong analytics capabilities for contact centers.
- Helps improve workforce productivity.
- Scales easily with growing business needs.
Cons:
- Requires in-depth setup and training.
- Enterprise pricing may be high for smaller companies.
- Complex reporting tools may need technical expertise.
Best For: Enterprises focused on enhancing contact center performance and workforce engagement through AI-driven insights.
Pricing
- Public/External Communities: Custom pricing
- Private/Employee Communities: Custom pricing
9. Genesys
Genesys is a leader in customer experience and contact center solutions, offering AI-powered automation for large enterprises. Its AI tools enhance customer journeys by personalizing interactions and predicting customer behavior across channels.

With strong integration capabilities and real-time analytics, Genesys helps businesses create seamless customer experiences.
Key Features
- Predictive Engagement: Anticipates customer needs based on behavior.
- AI Chatbots: Automates interactions across various channels.
- Omnichannel Routing: Directs conversations to the right agent or bot.
- Real-Time Reporting: Tracks interactions across platforms.
- CRM Integration: Works seamlessly with Salesforce, Microsoft Dynamics, and more.
pros & cons
Pros:
- Strong focus on customer journey optimization.
- Excellent scalability for enterprise businesses.
- Supports voice, chat, and social media integration.
Cons:
- Requires technical expertise for customization.
- Can be expensive for smaller organizations.
- Complex setup process for large-scale deployments.
Best For: Large enterprises looking to streamline customer journeys and personalize experiences with advanced AI tools.
Pricing
- CX 1: £52.5/user/month – Voice support, call routing, IVR, outbound campaigns, and analytics.
- CX 2: £80.5/user/month – Omnichannel routing, digital channels, quality assurance, and compliance.
- CX 3: £108.5/user/month – Full WEM, performance tracking, AI scheduling, and speech/text analytics.
10. Salesforce Einstein Bots
Salesforce Einstein Bots is built specifically for businesses already using Salesforce. It enhances CRM capabilities with AI-powered chatbots designed to automate common customer interactions and provide personalized responses based on customer data.
Seamlessly integrated with Salesforce Service Cloud, Einstein Bots improves support efficiency and helps businesses deliver faster, more personalized customer service.
Key Features
- Native Salesforce Integration: Works directly within the Salesforce ecosystem.
- AI-Powered Automation: Handles routine queries and workflows.
- Personalized Responses: Uses customer data for tailored interactions.
- Multi-Channel Support: Engages customers across web, mobile, and messaging platforms.
- Actionable Insights: Provides real-time analytics within Salesforce dashboards.
pros & cons
Pros:
- Seamless integration with Salesforce tools.
- Great for automating repetitive customer service tasks.
- Easy to set up for Salesforce users.
Cons:
- Limited functionality outside of Salesforce.
- Requires a Salesforce license to use.
- May need custom development for advanced features.
Best For: Salesforce users looking to enhance CRM capabilities with AI-driven chatbots and automation.
Pricing
- Einstein for Service: €75/user/month – AI tools, summaries, and knowledge creation.
- Contact Centre: €150/user/month – Omnichannel customer support.
- Field Service: From €50/user/month – Boost field team productivity.
- Self-Service: From €2/login/month – Customer self-service solutions.
- Digital Engagement: €75/user/month – Scalable, personalized messaging.
- Service Cloud Voice: €50/user/month – Telephony integrated with CRM.
- Visual Remote Assistant: €50/user/month – Real-time remote support
11. Avoma
Avoma is a conversational AI platform designed to streamline meetings, enhance collaboration, and provide conversation intelligence. It features a built-in meeting assistant, real-time transcription, and analytics tools that track key metrics such as filler words, monologue lengths, and talk-to-listen ratios.

Managers can track conversations in real time, monitor time spent talking, and analyze user activity. Avoma also enables users to listen to recordings and add comments on meetings without needing a paid license, making it a great option for collaboration.
Key Features
- Real-Time Transcription: Captures and processes conversations instantly.
- Custom Keyword Tracker: Monitors specific words and phrases in discussions.
- Filler Word & Talk Ratio Analysis: Helps improve communication effectiveness.
- Activity Dashboard: Tracks deal progress and team performance at a glance.
- Free Collaborators & Listeners: Allows team members to review and comment on meetings without a license.
pros & cons
Pros:
- Custom keyword tracking for detailed insights
- Free plan includes collaboration and meeting listening
- Real-time transcription for accurate conversation capture
Cons:
- The free plan limits recording to meeting organizers only
- Most coaching and advanced analytics features are available only in Business and higher-tier plans
Best For: Teams looking for a free yet powerful AI-powered meeting assistant with real-time transcription, keyword tracking, and collaboration tools.
Pricing
Paid plans start at $19 per user/month (billed annually). A free plan and a 14-day free trial are available.
12. NVIDIA Riva
NVIDIA Riva is a speech AI toolkit focused on delivering real-time conversational AI at scale. It offers advanced speech recognition and text-to-speech synthesis. It primarily caters to industries requiring high-speed, accurate voice-based AI applications.
Built on NVIDIA GPUs, Riva is ideal for organizations needing low-latency responses and enterprise-grade performance for voice assistants and virtual agents.
Key Features
- Automatic Speech Recognition (ASR): Converts spoken language into text with high accuracy.
- Text-to-Speech (TTS): Generates natural-sounding speech output.
- Real-Time Processing: Delivers ultra-low-latency responses.
- Customizable Models: Allows fine-tuning for industry-specific terms and accents.
- GPU Acceleration: Optimized for high-speed performance on NVIDIA hardware.
pros & cons
Pros:
- Exceptional speed and performance.
- Highly customizable for specific business needs.
- Supports large-scale voice AI applications.
Cons:
- Requires NVIDIA hardware for optimal performance.
- Complex setup for non-technical users.
- Enterprise-level pricing for advanced features.
Best For: Enterprises developing high-performance, real-time voice AI applications.
Pricing
- Development: Free to use for development purposes via NGC.
- Commercial Use: Requires an NVIDIA AI Enterprise license, starting at $22,500 per GPU/year or $2/hour for cloud deployments.
13. Rasa
Rasa is a popular open-source conversational AI framework that enables developers to build fully customizable chatbots and virtual assistants. With full control over the data and deployment, Rasa is ideal for businesses with specific privacy, security, or customization needs.

Key Features
- Open-Source Framework: Full access to code for deep customization.
- NLU and Dialogue Management: Understands user intent and manages multi-turn conversations.
- On-Premise Deployment: Keeps sensitive data in-house for privacy.
- Flexible Integrations: Works with popular messaging platforms like Slack and Facebook Messenger.
- Active Community: Extensive support from a global developer community.
pros & cons
Pros:
- Complete control over data and deployment.
- Fully customizable for unique business needs.
- Scalable for enterprise use cases.
Cons:
- Requires technical expertise for setup and maintenance.
- Lacks pre-built templates or quick-start solutions.
- Ongoing development needed for complex applications.
Best For: Developers and businesses seeking full customization and data control for conversational AI solutions.
Pricing
- Custom Demo: Contact sales for solutions
- Free developer edition
14. Botpress
Botpress is an open-source conversational AI platform designed for building advanced, AI-driven chatbots. It offers a visual flow builder, natural language understanding, and built-in analytics, making it a developer-friendly option for custom bot creation.

Key Features
- Visual Flow Builder: Drag-and-drop interface for creating conversation flows.
- Custom NLU Engine: Understands intents and extracts relevant information from messages.
- Multi-Channel Support: Integrates with popular platforms like WhatsApp, Facebook Messenger, and more.
- On-Premise Hosting: Keeps sensitive data private and secure.
- Built-in Analytics: Provides real-time conversation insights and performance metrics.
pros & cons
Pros:
- Open-source with high flexibility for customization.
- Easy-to-use visual interface for non-developers.
- Active developer community for support.
Cons:
- Requires technical expertise for advanced features.
- Limited enterprise-level support compared to commercial platforms.
- May require manual updates and maintenance.
Best For: Businesses and developers looking for an open-source, customizable chatbot development platform.
Pricing
- Free: $0/month – Basic features, AI credits, and integrations.
- Plus: $79/month (yearly) – Advanced tools, live handoff, and custom analytics.
- Team: $446/month (yearly) – Collaboration, live chat, and client support.
- Enterprise: Custom pricing – Contact sales for details.
15. Hugging Face Transformers
Hugging Face Transformers is a library of state-of-the-art machine learning models, including those used for natural language processing (NLP). It allows developers to build advanced AI applications like chatbots, sentiment analysis systems, and text summarization tools using pre-trained language models.
With a strong focus on research and cutting-edge technology, Hugging Face provides access to models like BERT, GPT, and RoBERTa, making it perfect for businesses looking to push the boundaries of conversational AI.
Key Features
- Pre-Trained Language Models: Access to top-performing NLP models.
- Multi-Task Learning: Supports various NLP tasks like translation, summarization, and question-answering.
- Open-Source Library: Completely free and backed by a large community.
- Custom Model Training: Fine-tune models on specific business data.
- Integration Support: Works with TensorFlow and PyTorch for advanced AI development.
pros & cons
Pros:
- Access to cutting-edge NLP research and models.
- Highly customizable for specialized applications.
- Strong community support and extensive documentation.
Cons:
- Requires deep technical expertise for implementation.
- Not a plug-and-play chatbot solution.
- Resource-intensive for large-scale deployments.
Best For: AI researchers, developers, and businesses looking to build advanced, research-driven NLP and conversational AI applications.
Pricing
- Free: Basic access with standard features.
- Pro: $9/month. Advanced features, higher limits, and early access to new tools.
- Enterprise Hub: Starting at $20/user/month
- Spaces Hardware: Starting at $0/hour
- Inference Endpoints: Starting at $0.032/hour
16. Drift (Now Salesloft)
Drift focuses on conversational marketing and sales acceleration, helping businesses engage website visitors in real time. It uses AI-driven chatbots to qualify leads, book meetings, and provide instant support, driving faster conversions.

With this conversational sales platform, businesses can create personalized chat flows that adapt to customer behavior, making it a popular choice for B2B companies looking to streamline sales.
Key Features
- AI-Powered Lead Qualification: Automatically identifies and routes high-value leads.
- Conversational Landing Pages: Engages visitors immediately for higher conversion rates.
- Sales Integration: Connects directly with CRM tools like Salesforce and HubSpot.
- Real-Time Alerts: Notifies sales reps of high-priority customer actions.
- Custom Playbooks: Personalized messaging sequences based on visitor behavior.
pros & cons
Pros:
- Boosts lead generation and conversion rates.
- Seamless CRM integration and conversation intelligence for sales teams
- Easy-to-use interface for marketers.
Cons:
- Premium pricing for advanced features.
- Primarily focused on B2B businesses.
- Limited customization for complex workflows.
Best For: B2B companies aiming to accelerate sales pipelines through real-time, personalized conversations.
Pricing
- Requires contacting sales for a custom quote.
17. Ada
Ada specializes in automated customer service for enterprises, offering no-code AI chatbot development. It enables non-technical teams to build and manage bots without developer assistance, making it ideal for businesses focused on scaling support operations.

Key Features
- No-Code Bot Builder: Allows teams to create bots without coding.
- Personalized Customer Journeys: Adapts responses based on user data.
- CRM Integration: Works with Salesforce, Zendesk, and other major platforms.
- Automated FAQ Responses: Reduces the load on customer support teams.
- Multilingual Support: Handles queries in multiple languages.
pros & cons
Pros:
- Easy setup for non-technical users.
- Highly scalable for growing businesses.
- Strong focus on automation and personalization.
Cons:
- Limited customization for complex scenarios.
- Pricing may be high for small businesses.
- Limited reporting tools compared to competitors.
Best For: Enterprises looking for a no-code, scalable solution for automating customer service.
Pricing
- Custom pricing (Fill form)
18. CallMiner
CallMiner is a powerful conversation intelligence platform designed for contact centers and customer service teams.
It analyzes customer interactions across multiple channels, including voice, chat, email, and social media. This way, it can provide deep insights into customer behavior, agent performance, and overall communication effectiveness.
Additionally, the platform includes quality assurance tools, allowing businesses to automate call scoring and ensure high service standards.
Key Features
- Omnichannel Analytics: Analyzes interactions across voice, chat, email, and social media.
- Real-Time Sentiment & Emotion Analysis: Provides deep insights into customer reactions.
- Regulatory Compliance Monitoring: Flags calls that don’t meet industry standards.
- Automated Call Scoring: Ensures quality and consistency in customer interactions.
- Screen Recording: Captures agent interactions for training and compliance review.
pros & cons
Pros:
- Screen recording for better quality assurance
- Omnichannel capabilities for complete customer interaction analysis
- Automated scoring to streamline performance monitoring
Cons:
Can be expensive for small businesses
Best For: Large contact centers and customer service operations looking to enhance agent performance, ensure compliance, and optimize customer interactions with AI-driven insights.
Pricing
CallMiner offers customized pricing based on business needs. A 30-day free trial is available.
19. Intercom
Intercom is a leading platform for customer messaging and live chat, combining human support with AI-driven automation. It’s particularly effective for customer onboarding, proactive engagement, and support automation.

With built-in automation tools and a robust CRM integration, Intercom offers a seamless way to manage customer conversations across multiple channels.
Key Features
- Customizable Chatbots: Automates common customer queries.
- Proactive Messaging: Sends targeted messages based on user behavior.
- In-App Messaging: Supports real-time chats within apps and websites.
- CRM Integration: Works with Salesforce, HubSpot, and more.
- Analytics Dashboard: Tracks customer engagement and agent performance.
pros & cons
Pros:
- Excellent for customer onboarding and engagement.
- Easy integration with popular CRMs.
- User-friendly interface for support teams.
Cons:
- Pricing can escalate with advanced features.
- May require additional setup for large enterprises.
- Limited AI customization options compared to competitors.
Best For: SaaS companies focused on improving customer engagement and onboarding.
Pricing
- Essential: $29/seat/month – For individuals, startups, and small businesses.
- Advanced: $85/seat/month – Automation and AI for growing teams. (Recommended)
- Expert: $132/seat/month – Advanced tools for large teams.
- Fin AI Agent: $0.99 per resolution
20. Yellow.ai
Yellow.ai is an enterprise-grade dynamic AI-powered platform for automating customer experiences across voice, text, and email channels. Its advanced AI engine allows businesses to create personalized and natural conversations.

Key Features
- Omnichannel Automation: Supports voice, email, and messaging platforms.
- Dynamic AI: Adapts conversations based on customer intent and behavior.
- Real-Time Insights: Tracks user interactions and automates workflows.
- No-Code Development: Simplifies bot creation for non-developers.
- Multi-Language Support: Engages customers globally.
pros & cons
Pros:
- Scalable for enterprise needs.
- Strong focus on personalized automation.
- Easy deployment with no-code tools.
Cons:
- Premium pricing for advanced enterprise features.
- Requires some training for optimization.
- Limited flexibility for smaller businesses.
Best For: Enterprises looking for scalable, personalized conversational AI solutions across channels.
Pricing
- Freemium Plan: Free – 5,000 conversations, unlimited agents, 500 chat/email tickets.
- Premium Plan: Custom pricing – Advanced features and integrations (contact sales).
- Module-Based Pricing: Based on MRU usage and WhatsApp conversations.
21. Tars
Tars focuses on conversion rate optimization through chatbot-driven landing pages and automated customer support. It specializes in creating chatbots that improve lead generation and customer acquisition for businesses of all sizes.
Tars’ intuitive interface makes it easy to design conversational landing pages that guide customers toward conversions.
Key Features
- Chat-Driven Landing Pages: Increases engagement and conversion rates.
- Drag-and-Drop Builder: No coding required for bot creation.
- Real-Time Analytics: Monitors bot performance and conversion metrics.
- CRM Integration: Connects with Salesforce, HubSpot, and other platforms.
- Custom Branding: Allows businesses to design bots matching their visual identity.
pros & cons
Pros:
- Easy setup with minimal technical skills.
- Boosts lead conversion rates.
- Affordable pricing for small and mid-sized businesses.
Cons:
- Limited AI capabilities compared to enterprise solutions.
- Not ideal for complex conversational workflows.
- Less scalable for large organizations.
Best For: Small to mid-sized businesses focusing on lead generation and customer acquisition.
Pricing
- Basic: $99/month – Per feature pricing model; specific features not provided.
22. Conversica
Conversica offers AI-powered virtual assistants focused on automating lead engagement for sales and marketing teams. Its AI assistants handle tasks like lead qualification, follow-ups, and nurturing to help businesses convert more leads into sales.

Conversica’s real-time reporting and analytics tools provide insights into lead engagement and help refine sales strategies.
Key Features
- AI Sales Assistants: Automates lead qualification and follow-ups.
- CRM Integration: Works seamlessly with platforms like Salesforce.
- Automated Email Engagement: Sends personalized emails to potential leads.
- Conversation Analytics: Tracks engagement metrics and lead quality.
- Real-Time Alerts: Notifies sales reps when leads are ready for contact.
pros & cons
Pros:
- Saves time for sales teams by automating repetitive tasks.
- Seamless CRM integration.
- Boosts lead conversion rates.
Cons:
- Expensive for small businesses.
- Limited use cases outside of sales and marketing.
- Requires customization for non-standard workflows.
Best For: Sales and marketing teams seeking to automate lead engagement and follow-ups.
Pricing
- Basic: $2999/month – No features available in this plan.
23. Ultimate.ai
Ultimate.ai is an AI-powered customer support automation platform that helps businesses reduce support costs while improving customer experience. Its platform integrates directly with existing CRM systems and automates repetitive queries across multiple languages.

Key Features
- AI-Powered Support Automation: Automates common queries across channels.
- CRM Integration: Works with platforms like Zendesk, Salesforce, and Freshdesk.
- Multi-Language Support: Provides global customer service capabilities.
- Custom Workflows: Tailor automation based on customer data and history.
- Analytics Dashboard: Tracks performance and customer satisfaction scores.
pros & cons
Pros:
- Reduces support workload significantly.
- Easy to integrate with existing CRM systems.
- Scalable for growing businesses.
Cons:
- Requires training for advanced use cases.
- Premium pricing for enterprise features.
- May require development support for custom workflows.
Best For: Customer support teams in eCommerce and SaaS businesses aiming to scale operations while reducing costs.
Pricing
- Free: £0/month – Basic features, 5,000 words, and unlimited transcriptions.
- Personal: £9.95/month – 30,000 words, 40 docs, and API access.
- Pro: £19.99/month – 100,000 words, unlimited transcriptions, and custom templates.
- Enterprise: £49.99/month – 1,000,000 words, unlimited features, and full API access.
Benefits Of Conversation Intelligence Technology
Conversational intelligence software can take your communication and customer engagement to the next level. Here’s how it can help streamline operations, boost sales, and enhance support:
- Smarter Cost Management: AI can monitor call-related expenses, detect spending patterns, and suggest ways to cut costs, keeping your communication budget on track.
- Better Lead Generation and Sales: AI helps prioritize high-value leads and automates follow-ups with prospects. Additionally, it offers 24/7 product recommendations based on customer behavior.
- Improved Customer Service and Retention: AI-powered systems provide quick, consistent, and personalized support, automatically routing calls to the right agents.
- Advanced Training and Performance Tracking: Track agent performance, provide real-time feedback, and run AI-driven simulations to keep your team’s skills sharp and up to date.
- Actionable Call Insights: Get detailed analytics on response times, call quality, and customer sentiment, helping you refine sales strategies and improve team productivity.
See how CloudTalk’s Transcript Search can enhance productivity and streamline operations.
Essential Features to Look for in Conversational Intelligence Software
Picking the right conversational intelligence software? Here are the must-have features to keep in mind:
- Smart Language Understanding (NLP): Your AI should handle industry-specific terms and understand the context for natural, accurate conversations.
- Easy Setup and Quick Results: Go for a platform that’s easy to implement, with pre-built tools so you can see results fast.
- Scalability for Growth: Choose software that can handle more interactions as your business grows without slowing down.
- Customization and Integrations: Make sure it works with your CRM or helpdesk, and lets you tailor workflows to fit your needs.
- Flexible Pricing: Find a solution with transparent pricing that scales with your usage and offers solid ROI.
- Strong Security and Compliance: Look for GDPR or HIPAA compliance and solid security features to protect sensitive data.
- Reliable Support: A responsive support team and regular updates are key for staying ahead with the latest AI advancements.
How to Implement AI Conversation Intelligence for Your Business
Rolling out conversational AI isn’t just about adding a chatbot. It requires thoughtful planning and a clear strategy. Here’s a step-by-step guide to help you get started:
Step 1: Plan Your Strategy
Nothing says strategy more than clearly defined goals. What do you want conversational AI to achieve for your business? Whether it’s reducing response times or improving customer satisfaction, set clear objectives and KPIs to measure your success.
Step 2: Choose Your Approach
Decide whether you’ll build the AI in-house, use a third-party platform, or partner with a specialized vendor. Each option has its pros and cons, depending on your budget, timeline, and technical resources.
Step 3: Develop Quality Content
Use existing resources like FAQs, support scripts, and customer feedback to train your AI. Run roleplay scenarios to fine-tune conversations and account for unexpected questions.
Step 4: Involve Key Stakeholders
Bring in your legal, compliance, and security teams early on to ensure the AI meets company standards. Getting approvals upfront avoids delays down the line.
Step 5: Choose the Right Channels
Decide where your AI will live—on your website, in your mobile app, through social media, or via voice channels. Make sure it’s available where your customers are most active.
Step 6: Select Deployment Infrastructure
Pick a deployment method that fits your needs:
- On-premises for full control
- Cloud-based for flexibility
- Hybrid for a mix of both
Step 7: Test, Launch, and Improve
Start with an internal launch to test for bugs and security issues. Once you’re live, track user interactions, monitor performance, and adjust as needed for continuous improvement.
What’s Next for Your Business with Conversational AI?
The future of conversational AI looks promising. As the technology becomes more competent and human-like, businesses can expect AI to better understand emotions.
Then, features like personalized interactions and seamless conversations across voice, text, and even gestures become an expected norm by the users as well as businesses.
We’re also on the brink of seeing advanced features like expert-level dialogues across industries and real-time multilingual communication that breaks down language barriers. This will open new possibilities for fully immersive customer experiences.
Have you future-proofed your business and added a competitive edge through AI technology? If not, it’s time to explore what conversational intelligence can do for you, and choose one of the best conversation intelligence software.
Take the next step with CloudTalk’s Call Intelligence. From smart transcript search to advanced analytics, CloudTalk helps you streamline communication, improve customer support, and boost productivity.
See how AI-powered insights can transform your business
Source:
FAQs
What are the types of conversation intelligence software?
Types include call analytics tools, AI-powered transcription services, sentiment analysis, and real-time coaching platforms.
Who uses conversation intelligence software?
Sales teams, customer support agents, marketing professionals, and business leaders use it to improve communication and performance.
What is an example of conversation intelligence?
CloudTalk’s transcript search is a great example—it analyzes calls, provides insights, and improves customer interactions through AI.
How much does conversational intelligence software cost?
Prices vary by provider, ranging from $50 to $500+ per month, depending on features, scalability, and business needs.