Best AI Customer Service Tools

171 toolsRanked by traffic

AI customer service tools help support teams resolve issues faster across every channel, using AI to answer common questions, draft replies, and route tickets to the right person. The category covers help desks like Zendesk AI and Freshdesk, ecommerce support agents like Gorgias, and review and messaging hubs like Podium.

Support leads, ops teams, and small businesses use these to cut response times and let agents focus on the hard cases. The big choice is how much you let AI handle on its own. A bot that fully resolves password resets and order-status questions deflects real volume, but one that answers wrong erodes trust fast. The safest path is agent assist first: let AI draft and suggest, keep a human in the loop, then automate the routine questions once you trust the answers.

Salesforce Einstein
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Salesforce Einstein
Generative AI for CRM, designed to supercharge your productivity
Zendesk AI
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Zendesk AI
An AI tool built on billions of real customer service interactions that understands customer experience
HubSpot Breeze
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HubSpot Breeze
Streamlines business growth with AI tools for marketing, sales, and service
Podium
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Podium
An AI platform for customer communication, lead generation, and business reputation management
Gorgias
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Gorgias
Streamlines customer support with AI-powered automation for ecommerce brands
Dialpad
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Dialpad
Support customers, drive sales, and collaborate with your team with the power of AI
Gong Engage
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Gong Engage
Drive quality engagement at scale from first-touch to closed-won, all in one place
Freshworks
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Freshworks
An AI-powered customer service platform that aims to improve how businesses engage with their customers
Freshdesk
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Freshdesk
Streamlines customer service with AI-powered ticketing and omnichannel support
Wati
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Wati
Automates WhatsApp conversations for marketing, sales, and customer support using AI agents
Crisp MagicReply
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Crisp MagicReply
The virtual assistant for customer service enabling AI and humans to work together
DocsBot
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DocsBot
Create custom AI-powered chatbots trained on their documentation and content
Vapi
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Vapi
Builds and deploys AI voice agents for real-time conversations
Hotjar AI
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Hotjar AI
Create surveys for any goal in seconds and generate summary reports automatically
Guru
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Guru
An AI-powered knowledge management tool designed to help teams keep track of what they know

Frequently Asked Questions

What is the best AI customer service tool?
The best AI customer service tool depends on where your customers reach you. Zendesk AI and Freshdesk are strong general help desks, Gorgias is built for ecommerce stores, and Podium suits local businesses handling reviews and texts. Pick the one that already connects to your support channels and order data.
What is the difference between customer service and call center tools?
Customer service tools cover support across every channel: email, chat, social, and ticketing, while call center tools focus specifically on the phone. A help desk like Zendesk routes written conversations and tracks tickets, whereas a call center platform handles call routing, live agent assist on voice, and call analytics. Many teams run both together.
Can AI fully resolve support tickets?
AI can fully resolve routine tickets like order status, refunds, and password resets when it connects to your systems and policies. For complex or emotional issues it works better as a co-pilot, drafting answers and surfacing the right knowledge for a human agent. Most teams automate the simple volume and escalate everything else to people.
How does AI improve customer support response times?
AI improves response times by drafting replies, suggesting relevant help articles, and answering common questions instantly without an agent. It also classifies and routes incoming tickets to the right team automatically, so nothing sits in a general queue. Agents spend less time on repetitive lookups and more on the conversations that actually need a person.
Are AI customer service tools accurate?
AI customer service tools are accurate when grounded in your own help docs and order data, since they answer from your real policies rather than guessing. Accuracy drops when the knowledge base is thin or outdated. Most teams keep a confidence threshold so uncertain answers escalate to a human instead of risking a wrong reply.