10 Best AI Customer Support Software

Does your customer support team really need AI?

They deal with endless emails, chats, and calls—many of them repetitive. Add to that every day tasks such as assigning, tagging, and escalating tickets, and there’s barely time left for meaningful customer conversations.

That’s where AI comes in. It takes over repetitive tasks, reduces workload, and frees up agents to focus on complex, high-value issues. What started as hype is now real: conversational chatbots, agent co-pilots, and automation tools are helping teams stay efficient without burning out.

In this guide, we’ll break down the top 10 AI customer support software in 2025 and practical use cases of AI in support operations.

Table of Contents

• What is AI Customer Support Software? 
• Benefits of AI Customer Support Software
• Top 10 AI Customer Support Software 
• Common Challenges with AI in Customer Service
• Is AI Replacing Customer Support Jobs?   
• How to Implement AI for Your Customer Service Team
• Choosing the Right AI Tool for Your Support Team

What is AI Customer Support Software?

AI customer support software uses artificial intelligence—like machine learning, natural language processing, and generative AI—to improve and automate support processes. Instead of relying only on humans to manually handle every customer conversation, the AI does the heavy lifting so that support teams’ bandwidth doesn’t go into operational work.

Today, most AI-powered support software can:

• Understand what a customer is asking.
• Suggest or even write a helpful reply.
• Automatically sort and assign tickets to the right team.
• Pull up past conversations or related help articles.
• Spot patterns in customer issues so teams can fix bigger problems.

It’s like having an extra pair of hands (or brains) behind the scenes — one that learns from past conversations and keeps getting better. The goal isn’t to replace human agents, but to help them save time, reduce errors, and steer their focus to more important conversations that need a human touch.

Benefits of AI Customer Support Software

AI can significantly improve how your support team works—making them better equipped to handle customer needs. Here’s how it helps: 

• Faster response and resolution times: AI suggests replies, summarizes conversations, and resolves routine queries—so agents can move through tickets quicker. 
• Fewer repetitive tasks: Automate tagging, ticket triage, and data entry to free up agents for more complex or high-impact conversations.
• 24/7 customer support: AI chatbots handle common questions anytime, ensuring customers get help even when your team is offline.
• Proactive support: AI can spot patterns in customer behavior and flag potential issues early—letting your team step in before things go wrong.
• Lower operational costs: AI takes care of high-volume, low-effort queries so you can support more customers without adding more agents.

Top 10 AI Customer Support Software

1. Hiver

What I love about Hiver is its simplicity. Unlike other AI customer support platforms, which are inherently difficult to set up, Hiver offers a friendly interface that brings email, chat, WhatsApp, and voice support into one hub. 

Its AI Copilot is like having a dedicated search engine – it links to your knowledge base and suggests ideal responses for every customer query. Your team no longer has to navigate through help articles, write the same responses over and over, or spend time on routine tasks. With top-notch security (GDPR, HIPAA, CCPA compliant) and 24/7 support, it’s a no-brainer for teams that value efficiency and peace of mind.

It’s no surprise then that over 10,000 teams – including those at HubSpot, Harvard University, Flexport, and EPIC Games — use Hiver for running their customer support operations.  

Key features:

• Live Chat & Chatbots: Support customers in real-time with live chat, AI-suggested responses, and customizable chatbot workflows. Let AI handle routine queries while human agents focus on more complex issues.
• AI Compose: Instantly fix grammar, tweak tone, shorten replies, or clean up wording—so your responses are always sharp and on point.
• Smart Email Summaries: Summarize customer conversations into concise notes, making handoffs easier.
• Pull data from 100+ apps: Connect tools like Slack, Jira, WhatsApp, Asana, and more to bring all customer context into one place. AI Copilot fetches key details—like order history or account info—from platforms like NetSuite, HubSpot, and Salesforce, saving you from jumping between tabs.
• Automate Routine Email Closures: Hiver’s AI bot, Harvey, automatically closes conversations that don’t need a response. For instance, ‘thank you’ messages from customers.

• Automated Email Assignment: Automatically route queries to the right team member based on rules (sender name or keywords in the query) or round-robin logic. For example, all bugs can be routed to a technical support specialist.
• Customer Portal: Give customers a place to track ticket status and submit requests without constant follow-ups.

• Team Collaboration: No more forwarding queries or CC-ing half the team. Use internal notes to loop in colleagues for help on tickets. Share a draft of the response with your managers or supervisors to get a fresh pair of eyes on it before you send it to customers.
• Smart Analytics & Reporting: Track metrics like resolution time, workload, and CSAT. Build custom reports tailored to your workflows.
• Knowledge Base: Create a categorized, searchable help center where customers can find answers on their own.                               

Pricing:

Hiver offers five plans: Free Forever, Lite ($19/user/month), Growth ($29), Pro ($49), and Elite (custom). As you move higher, you get more shared inboxes, automation, analytics, and features like CSAT, SLA management, Harvey, and voice support.

2. Velaris

Velaris is a customer success platform purpose-built for post-sales teams—CS, support, onboarding, and renewals. It brings together customer data, workflows, and AI into one unified view—so your team can focus less on ticket-hopping and more on driving outcomes.

Unlike traditional helpdesks or CRMs, Velaris is designed around account intelligence. It doesn’t just tell you what your customers are saying—it helps you act on it.

Key features:

• Sentiment Indicators: Automatically tags incoming conversations with emotional signals—so your team can prioritize frustrated or unhappy customers first.
• Churn Risk Signals: AI analyzes behavioral patterns and support history to surface at-risk accounts before it’s too late.
• Trending Topics: Organize support tickets into categories and subtopics automatically. Understand which issues are most common, how many related tickets exist, and how the volume of tickets is changing over time.
• Writing Assistant: Suggests email and chat responses based on tone, context, and account history—speeding up replies without losing personalization.
• Unified Account Timeline: Combines CRM data, product usage, and support history into one customer view. No more jumping between tools.

Pricing:

Velaris offers custom pricing based on number of users and data sources. AI capabilities are available on enterprise plans or as add-ons.

3. Freshdesk

Freshdesk by Freshworks combines ease of use with powerful AI capabilities, through its Freddy AI engine. Just like most popular customer support tools, it brings together customer interactions from email, phone, chat, and social media into a unified dashboard. 

What really caught my attention is how naturally AI is woven into the platform. Freshdesk’s built-in AI assistant can draft replies, summarize conversations, tag tickets, and even detect customer sentiment. It learns from past interactions and adapts its responses accordingly—across platforms like WhatsApp, Facebook Messenger, and Apple Business Chat.

Here are some key AI features of Freshdesk: 

• Freddy AI Copilot: Recommends replies, classifies tickets, and surfaces help articles—while also providing real-time feedback on agent performance.
• Freddy AI Insights: Gives managers access to trends like CSAT, response times, and conversation volume. Build custom dashboards and track team metrics.
• Freddy AI Agent: A 24/7 multilingual chatbot that handles common issues using your knowledge base and uploaded PDFs—freeing agents for complex tasks.
• Custom automations and SLAs: Set up rules for routing, escalations, and priority resolutions without having to code.

Pricing:

Freshdesk offers a free plan and four paid plans: Growth at $15/agent/month, Pro at $29, Pro + AI Copilot at $39, and Enterprise at $49/agent/month. Freddy AI is integrated into the Pro, Pro + AI Copilot, and Enterprise plans, at an additional cost starting at $29/agent/month on annual billing. ​

4. Kustomer

Kustomer is a customer service platform that’s built for high-volume, omnichannel support teams. Its strength lies in how it consolidates every customer interaction—email, chat, SMS, voice—into a single timeline view.

But what really sets Kustomer apart is its modular AI system. You can deploy AI agents—each with its own role in your support workflow—without needing developer involvement.

Key Features:

• AI Agents for Customers: Create role-specific bots like a Knowledge Base Agent to suggest help articles, a Triage Agent to sort and route messages, and a Data Agent to detect patterns and surface insights.
• AI Agents for Reps (Copilot): Assists agents with writing clear replies, suggesting next actions (like sharing a doc or escalating), and summarizing long conversations for smoother handoffs.
• AI Agent Studio: A no-code builder that lets ops teams configure, deploy, and fine-tune custom AI agents—without needing dev support.
• Cross-channel Support: Natively supports messaging on email, chat, WhatsApp, SMS, and voice with AI layered throughout.

Pricing:

Kustomer offers two pricing plans: the Enterprise plan at $89/seat/month and the Ultimate plan at $139/seat/month. Additionally, you can choose AI-powered add-ons, with AI Agents for Customers available at $0.60 per engaged conversation and AI Agents for Reps at $40/seat/month.

5. Tidio

Tidio is a customer communication platform that combines live chat, helpdesk, chatbot automation, and AI capabilities into one intuitive dashboard.

It’s standout AI feature is Lyro, a no-code conversational agent trained on your help center. Unlike generic bots, Lyro only uses your approved content—so it delivers responses that stay accurate, relevant, and on-brand. It improves over time, learning from real interactions to fill in knowledge gaps.

Key features: 

• Handle routine queries: Resolves up to 70% of common questions (like order tracking and product info) using your existing knowledge base—reducing pressure on your team during peak times.
• AI Phrase Matcher: Uses NLP to generate natural, context-aware replies that go beyond scripted responses.
• Reply Assistant: Helps agents write faster and more professionally by suggesting pre-filled responses based on context.
• Customer Intent AI: Sort conversations by their intent (support, sales, billing) and route them to the right team instantly. 
• Multichannel Inbox: Centralizes chats, emails, Instagram DMs, and Messenger messages—so agents don’t need to switch tabs.

Pricing:

Tidio offers four pricing tiers: Starter ($24.17/mo), Growth ($49.17/mo), Plus ($749/mo), and Premium ($2,999/mo). All plans include 50 free Lyro AI conversations monthly. If you exceed that, AI usage scales with your needs—starting at $39 for 50 additional conversations or $140 for 200. This pay-as-you-grow model makes Tidio one of the more flexible AI customer support software options for smaller teams getting started with automation.

6. Zoho Desk

Zoho Desk is a cloud-based help desk platform that is part of the larger Zoho ecosystem. This makes it a natural choice for teams already using tools like Zoho CRM or Zoho Social.

What sets Zoho Desk apart is Zia, its built-in AI assistant. Zia helps support teams manage high volumes more effectively by analyzing ticket sentiment, suggesting replies, identifying unusual patterns, and surfacing help articles—so agents can focus on resolution, not digging through information.

Key features:

• Answer Bot: Zia scans your knowledge base and suggests relevant help articles to both agents and customers—reducing response times without added effort.
• Sentiment Analysis: Classifies incoming tickets as angry, neutral, or happy—helping your team spot and escalate at-risk conversations quickly.
• Integration with ChatGPT: Zia uses ChatGPT’s generative AI capabilities to summarize long conversations, analyze tone, and suggest responses. 
• Anomaly Detection: Flags unusual patterns—like a sudden spike in tickets or missed SLAs—so you can take proactive action.
• Multibrand Support: Create separate Zia bots and knowledge bases for different brands or teams within the same help desk ecosystem. 

Pricing:

Zoho Desk offers a generous free plan for up to three agents, ideal for startups testing the waters. Paid plans include Standard ($14/agent/month), Professional ($23/agent/month), and Enterprise ($40/agent/month). Zia’s advanced AI features—like the Answer Bot, ChatGPT integration, and sentiment scoring—are included only in the Enterprise tier.

7. Intercom

Few platforms have leaned into AI quite as deeply as Intercom. Designed from the ground up as an AI-first support solution, the platform is built around three core AI components: Fin (the customer-facing AI agent), AI Copilot (for support reps), and AI Analyst (for surfacing insights).

These capabilities work together to automate support processes – whether it’s resolving tickets, helping support staff find the right information, or surfacing data-backed insights for team leads.

Key features: 

• ​​AI Agent: Resolves common customer queries instantly across chat, email, and more. When needed, it seamlessly escalates to a human agent via its shared inbox, keeping the conversation flow intact.
• Checklists: Deliver personalized, in-app task lists to guide users through onboarding, highlight key features, and drive engagement. Great for nudging users toward specific actions without leaving your product.
• AI Copilot: Assists agents in real-time by suggesting replies, pulling up relevant info from your help center, PDFs, internal docs, Notion, Guru, Confluence, and more—helping your team respond faster.
• AI Analyst: Surfaces trends, patterns, and performance insights from support conversations—helping managers make data-driven decisions to improve team efficiency.
  

Pricing:

Intercom offers three plans: Essential ($29/user/month), Advanced ($85/user/month), and Expert ($132/user/month). Fin, the AI agent, is included in all plans—but you only pay when it resolves a query, at $0.99 per resolution. Plans include up to 10 AI conversations per agent per month, after which additional usage is billed. To enable unlimited Fin access and in-inbox support via AI Copilot, you’ll need to add it to any Full Seat for $35/month.

Intercom’s modular pricing allows teams to ease into AI without committing to enterprise spend—but costs can ramp up fast if you rely on Fin as your frontline responder.

8. Zendesk

Zendesk is one of the most widely used customer support platforms in the world. While its core strength lies in omnichannel ticketing and automation, it now offers advanced AI capabilities that improve team productivity and speed up ticket resolutions.

The latest Zendesk AI suite offers support teams a combination of autonomous resolution, agent-side assistive tools, and real-time intelligence—all designed to scale service without scaling headcount. The platform also offers AI capabilities, like smart suggestions and workflow automation, that improve the productivity of your support team. 

Here are some benefits of Zendesk’s AI: 

• AI Agents: Zendesk’s AI agents handle customer queries from start to finish by scanning your knowledge base and drafting responses based on the content available there. They work on email, chat, social media, mobile, and voice channels, while supporting over 30 languages. You can monitor their responses and provide feedback in real time.
• AI Copilot: Supports agents in real-time by suggesting responses, predicting customer needs, and recommending next steps. It also automates routine tasks and can resolve certain issues on its own—helping agents focus on more complex conversations.
• AI and Automation: Automate support tasks, like classifying tickets, routing them to the right team, suggesting answers, and even triggering custom workflows.
• AI-Powered Ticket Intelligence: Examine incoming tickets to determine intent, urgency, and sentiment. This helps your team prioritize issues and provide better context for escalation and handoffs.
• Answer Bot: Uses machine learning to auto-suggest relevant help articles from your knowledge base to customers. It works across channels like email, web forms, and the web widget.

Pricing:

Zendesk offers four paid plans. The Suite Team plan starts at $55/agent/month, Suite Growth at $89/agent/month, Suite Professional at $115/agent/month, and the Suite Enterprise plan begins at $169/agent/month. All these plans include the AI Agents feature.

9. Nextiva

Nextiva approaches customer experience from a unified lens—combining voice, chat, email, and automation into one platform. It’s designed for businesses that want to integrate support, sales, and service into a single flow, without juggling between tools.

What makes Nextiva unique is how it blends conversational AI, virtual agents, and call intelligence inside its cloud contact center. For support leaders managing high call volumes or omnichannel teams, this can translate into faster routing, smarter automation, and more human-like virtual agents who handle routine queries.

Key features: 

• Conversational AI: Enables natural, two-way dialogue using NLP and machine learning—far more fluid than basic chatbot logic.
• Intelligent Virtual Agents: Handle routine queries, book appointments, and share updates without human involvement. 
• Speech Recognition and Sentiment Analysis: Transcribes voice calls in real-time and detects customer emotion to help agents course-correct mid-conversation.
• AI-Powered Call Routing: Match customer calls with the most appropriate support agent based on context. This reduces waiting time and improves first-contact resolution.​

Pricing:

For digital-first support, plans start at $20/user/month. AI-powered capabilities like call routing, virtual agents, and sentiment analysis are bundled into its Contact Center Professional and Enterprise tiers, which go up to $129/agent/month.

10. Decagon

Decagon positions itself as more than just a chatbot or AI overlay—it’s a full-stack AI automation engine for customer support. Unlike regular chatbots that follow scripts, Decagon’s AI agents can think and respond on the spot. They can even create tickets, update the knowledge base, and escalate highly complicated cases. With effortless integrations and no rigid decision trees, Decagon provides a flexible, accurate, and scalable solution for customer service teams.

Key features: 

• Agent Assistance: Works as a copilot for human agents– —handling routine queries, offering contextual reply suggestions, and adapting to how agents work over time.
• Dynamic, Personalized Answers: Crafts unique replies using real-time customer data, knowledge sources, and brand-specific logic—without relying on scripted playbooks.
• Watchtower QA & Automated Insights: Monitors conversations in real time, performs automated quality checks, detects patterns and gaps, and provides suggestions for improvement based on actual interactions.

Pricing:

Decagon doesn’t offer standard pricing tiers. Instead, it builds custom plans based on conversation volume, use case complexity, and integration needs. Contact their sales team for more information

Common Challenges with AI in Customer Service

The integration of AI in customer service presents both challenges and opportunities. Here are some common challenges, along with relevant solutions: 

Understanding Nuances and Context

AI systems often struggle with understanding the nuances, emotions, and context of customer interactions.

For example, a customer says, “I just bought this product, and it’s not cool.” AI might interpret “cool” in its literal sense when the customer might mean it’s not working properly or isn’t satisfactory.

Solution: Implement a combination of machine learning and natural language processing in the customer service software to better grasp context. Regularly update and train the model based on customer interactions and feedback.

Lack of Human Touch

Many customers prefer interacting with humans because they feel machines lack empathy and understanding. A customer who’s upset about a lost package might not feel comforted by an emotionless AI response.

Solution: Blend AI and human support. Use AI for first-level queries and then smoothly transition to human agents for more complex or sensitive issues. Additionally, design AI to recognize emotional cues and respond empathetically.

Inaccurate Responses

AI might sometimes provide incorrect or non-optimal solutions based on its training data. For example, a customer asks about a product’s vegan status, and the AI, misinterpreting the question, provides details about the product’s availability instead.

Solution: Regularly review and train the AI using feedback loops. Incorporate a system in the software where agents can flag and correct AI errors to improve future interactions.

Integration Challenges

Integrating AI into existing customer service platforms can feel tricky—like adding a chatbot to your current portal and suddenly running into unexpected glitches.

Solution: Pick an AI customer service software that offers pre-built integrations with your existing platforms. Start with a limited deployment, test thoroughly, and gradually expand its scope. This phased approach reduces tech headaches, minimizes disruptions, and lets you fix small issues before they impact your whole customer experience.

Unmanaged Expectations

If AI is perceived as a solution to all problems, it can lead to unrealistic expectations. For example, a company promotes its new  AI chatbot as the go-to for all customer queries, but the bot can’t handle complex or out-of-scope issues.

Solution: Clearly communicate the capabilities and limits of the AI solution. Use the software’s analytics to monitor performance and make continuous improvements.

Is AI Replacing Customer Support Jobs?

AI isn’t taking jobs—it’s reshaping them. Support teams now have the opportunity to work smarter by using AI. By automating repetitive tasks like tagging, drafting responses, summarizing conversations, or pulling customer data from tools like Salesforce or HubSpot, AI allows agents to focus on issues that need human attention—escalations, empathy, and problem-solving.

To make this shift work, companies need to equip their teams. Run short training sessions, create easy-to-follow guides, and encourage hands-on practice with AI features like Copilot or Compose. When agents know how to use these tools, they respond faster, avoid burnout, and deliver more thoughtful support.

This shift is already happening. In our exclusive survey report, “AI vs Human: The Future of Customer Service,” we spoke to 500+ support professionals across the U.S. Nearly 50% believe AI will work with humans, while only 19% think it will fully replace them. AI is becoming a support partner—one that helps agents do better, more impactful work.

How to Implement AI for Your Customer Service Team

Ready to roll out AI for your customer service team? Here’s how you can set your team up for success from day one.

• Identify specific tasks to automate: Start small—pick repetitive tasks like ticket sorting or FAQ responses. Quick wins help your team embrace AI without feeling overwhelmed.
• Choose user-friendly software: Go for tools with intuitive dashboards and easy integration with your current systems. The simpler the setup, the faster your team adopts it.
• Run a short pilot program: Launch a pilot with a small group first. This helps iron out issues early and lets your team experience the benefits firsthand, easing wider adoption.
• Offer quick, hands-on training: Short workshops or guided video tutorials are perfect. Keep it practical—just enough to get them comfortable using the software right away.
• Gather team feedback regularly: Have brief weekly check-ins to hear about challenges or wins. It ensures the AI setup stays useful and your team stays motivated.
• Adjust based on real-world results: Review analytics monthly to see what’s working and what’s not. Small adjustments based on real-world insights keep the tool relevant and effective.
• Celebrate quick wins openly: Highlight success stories within your team meetings. Seeing real benefits makes your team feel positive about the transition.

Choosing the Right AI Tool for Your Support Team

From resolving tickets autonomously to helping agents respond faster, AI is making support operations more efficient.

What stands out across the tools in this list is how differently each platform approaches AI. Some are leaning into fully autonomous agents that handle everything from triage to resolution. Others focus on making support agents sharper—offering real-time suggestions, summaries, and sentiment detection. And a few are blending both worlds through intelligent routing and workflow automation.

Don’t just evaluate how “smart” a tool is. Look at how it fits into your support workflow.

• Does it reduce your team’s manual load?
• Can it personalize responses based on real-time data?
• Is it flexible enough to grow with your support volume and channels?

Whether you’re just getting started with AI or ready to scale what you’ve already built, the right platform should make your team faster, not just smarter.