AI for Customer ServiceThe best customer support AI tools, ranked
We track 150 AI tools for customer service agents and rank them by score, so you can pick the right one in minutes. 45 have a free plan you can use today.
The 10 best AI tools for customer service agents in 2026
Ranked by Zekai score, out of 150 tools. Scores weigh accuracy, ease of use, value and time saved for customer service agents, and we check prices against each vendor's site.
- 01
Translate customer support tickets and live chats in real-time with AI-powered accuracy, breaking language barriers instantly.
The gold standard in machine translation for support, generating natural, production-ready replies with minimal manual correction and outstanding unit economics.
- 02
Build and deploy AI voice agents to resolve support issues faster and improve CSAT scores at enterprise scale.
Vapi is the benchmark voice engine infrastructure, powering massive call volumes reliably for enterprise operations. It demands developer competence to implement, but delivers unrivaled control, scale, and pro…
- 03
An Agentic Voice AI platform providing business phone, AI receptionists, and conversation intelligence for customer support.
- 04
Automate customer support calls with AI voice agents that sound genuinely human and resolve issues on the first contact.
Retell AI leads the conversational voice space with ultra-low 600ms latency and resilient turn-taking. While it requires engineering resources to wire up APIs, it produces the most natural inbound phone suppor…
- 05
AI that makes your phone calls, gets through phone trees, waits on hold, and reports back.
- 06
The AI-native helpdesk that combines human agents and a powerful AI agent, Fin, to resolve queries faster and improve CX.
The market benchmark for conversational AI support, combining seamless human handoffs with the Fin agent, though resolution-based billing adds up quickly.
- 07
Build, launch, and scale omnichannel AI support agents without writing code.
The premier collaborative canvas for designing, prototyping, and shipping AI customer agents without requiring constant software engineering support.
- 08
Turn customer support into a revenue driver with an AI helpdesk built to automate tickets, personalize conversations, and convert shoppers.
Unmatched operational depth for ecommerce brands on Shopify, delivering instant ticket deflection and tangible revenue attribution at transparent rates.
- 09
Build, deploy, and optimize AI agents across all channels to transform your customer experience and increase lifetime value.
An exceptional enterprise CX platform with an outcome-based pricing model. Ghostwriter and deep system integrations allow truly autonomous resolution across voice, chat, and email.
- 10
Automate customer support and analyze 100% of conversations with a full-stack conversational AI platform.
Outstanding speech recognition accuracy exceeding 97% paired with comprehensive call audit capabilities makes this a battle-tested enterprise contact center staple.
All 150 AI tools for customer service agents
Showing 24 of 150
DeepL9.4Translate customer support tickets and live chats in real-time with AI-powered accuracy, breaking language barriers instantly.
Free plan
Vapi9.2Build and deploy AI voice agents to resolve support issues faster and improve CSAT scores at enterprise scale.
Free planRIRingCentral9.1An Agentic Voice AI platform providing business phone, AI receptionists, and conversation intelligence for customer support.
Free plan
Retell AI9.1Automate customer support calls with AI voice agents that sound genuinely human and resolve issues on the first contact.
Free planCLClawCall9.0AI that makes your phone calls, gets through phone trees, waits on hold, and reports back.
Free plan
Intercom9.0The AI-native helpdesk that combines human agents and a powerful AI agent, Fin, to resolve queries faster and improve CX.
$29 per seat/mo
Voiceflow8.8Build, launch, and scale omnichannel AI support agents without writing code.
Paid
Gorgias8.8Turn customer support into a revenue driver with an AI helpdesk built to automate tickets, personalize conversations, and convert shoppers.
$360/mo
Sierra8.8Build, deploy, and optimize AI agents across all channels to transform your customer experience and increase lifetime value.
Pricing on requestSESESTEK8.7Automate customer support and analyze 100% of conversations with a full-stack conversational AI platform.
Contact for Pricing
Kapa.ai8.6Turn your complex technical documentation into an AI assistant that accurately answers customer questions and deflects support tickets.
Free plan
Dovetail8.6Unify support tickets, NPS, and customer feedback into a single AI-powered intelligence platform to act before issues escalate.
Free plan
Decagon8.6Build, optimize, and scale AI agents that act as a personal concierge for every customer across voice, chat, and email.
Contact for PricingFRFreshdesk8.5AI-powered customer service software combining ticketing, shared inboxes, and built-in Freddy AI tools to resolve support requests.
Free planFEFerndesk8.5AI-powered help center that automatically checks and updates your documentation against code and pull requests.
$149 /monthHUHubSpot Service Hub8.5Customer service software with AI agents to help you scale support and resolve queries 24/7.
Free planQUQualtrics XM8.5Turn experience data into automated decisions, predictive insights, and trusted outcomes across your enterprise.
PaidHEHelp Scout8.5Unify your support channels with a collaborative inbox, knowledge base, and AI to deliver fast, exceptional service at scale.
Free plan
Forethought8.5Resolve up to 98% of customer issues automatically with a multi-agent AI system trained on your own support data.
Free planINIntellAgents.io8.4AI voice and chat agents for inbound calls, outbound calls, and social channels.
$149/mo
Unbabel8.4Deliver native-language customer support across the globe without hiring more multilingual agents.
Contact for Pricing
Cognigy8.4Deploy an enterprise-grade AI workforce to automate customer service conversations on voice and chat.
Contact for Pricing
Coze8.3Build custom AI chatbots for your support channels without writing code. Integrate knowledge bases and automate responses on platforms like Discord a…
Free planMAManyChat8.3Automate customer conversations across Instagram, Facebook Messenger, WhatsApp, and SMS.
Free planAll 150 tools A–Z
Start free today: 45 tools with a free plan
No card needed to try these. The best-scored free options for customer service agents.
DeepLTranslate customer support tickets and live chats in real-time with AI-powered accuracy, breaking language ba…
Free plan · 9.4/10VapiBuild and deploy AI voice agents to resolve support issues faster and improve CSAT scores at enterprise scale.
Free plan · 9.2/10RIRingCentralAn Agentic Voice AI platform providing business phone, AI receptionists, and conversation intelligence for cu…
Free plan · 9.1/10Retell AIAutomate customer support calls with AI voice agents that sound genuinely human and resolve issues on the fir…
Free plan · 9.1/10CLClawCallAI that makes your phone calls, gets through phone trees, waits on hold, and reports back.
Free plan · 9.0/10Kapa.aiTurn your complex technical documentation into an AI assistant that accurately answers customer questions and…
Free plan · 8.6/10DovetailUnify support tickets, NPS, and customer feedback into a single AI-powered intelligence platform to act befor…
Free plan · 8.6/10FRFreshdeskAI-powered customer service software combining ticketing, shared inboxes, and built-in Freddy AI tools to res…
Free plan · 8.5/10Get paid for what you know as a customer service agent
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- 25 minutes a dayRun the drill on your own work. Miss a day? Nothing breaks.
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ChatGPT prompts for customer service agents
Copy, paste and fill in the brackets. Works in ChatGPT, Claude, Gemini or Copilot.
Acknowledge Receipt & Set Expectations
Draft a first-contact reply for a ticket about [[TICKET_TOPIC]].
1. Acknowledge the user's specific issue: [[USER_ISSUE_SUMMARY]].
2. Confirm receipt of their ticket and provide the ticket ID: [[TICKET_ID]].
3. State our standard response time for this issue type: [[RESPONSE_TIME_SLA]].
4. If known, mention the specialist or team it has been routed to: [[ROUTED_TEAM]].
5. Keep the tone empathetic and professional. Do not promise a solution, only a follow-up.
JSON Metadata:
json
{
"prompt_id": "cs_t1_001",
"use_case": "First Contact Reply",
"variables": ["TICKET_TOPIC", "USER_ISSUE_SUMMARY", "TICKET_ID", "RESPONSE_TIME_SLA", "ROUTED_TEAM"],
"tone": "empathetic, professional",
"constraints": "Do not promise a solution."
}Request More Information (Politely)
The user's request about [[TICKET_TOPIC]] is missing key information.
Draft a polite reply that:
1. Thanks them for their message.
2. Clearly states the specific information we need to proceed. List these as bullet points:
• [[REQUIRED_INFO_1]]
• [[REQUIRED_INFO_2]]
• [[REQUIRED_INFO_3]]
3. Explains briefly *why* we need this information (e.g., "to locate your account," "to replicate the error").
4. Assures them their ticket will be prioritized once the information is received.
JSON Metadata:
json
{
"prompt_id": "cs_t1_002",
"use_case": "Information Request",
"variables": ["TICKET_TOPIC", "REQUIRED_INFO_1", "REQUIRED_INFO_2", "REQUIRED_INFO_3"],
"tone": "helpful, clear",
"constraints": "Explain the 'why' behind the request."
}Answer a
Generate a step-by-step guide answering the user's question: [[USER_QUESTION]].
The user is on the [[USER_PLAN_LEVEL]] plan.
1. Start with a direct confirmation: "Yes, you can do that. Here are the steps:"
2. Use a numbered list for the steps.
3. Reference specific UI elements by name (e.g., "Click on 'Settings' in the main dashboard").
4. If available, link to a relevant knowledge base article: [[KB_ARTICLE_URL]].
5. End with an invitation to ask follow-up questions.
JSON Metadata:
json
{
"prompt_id": "cs_t1_003",
"use_case": "How-To Guide",
"variables": [["USER_QUESTION", "USER_PLAN_LEVEL", "KB_ARTICLE_URL"]],
"tone": "clear, instructional",
"constraints": "Use a numbered list."
}Proactive Check-in on a Known Issue
We have just resolved a system-wide issue: [[ISSUE_DESCRIPTION]].
Draft a proactive message to a user who was affected by this issue.
1. Reference the original ticket ID: [[TICKET_ID]].
2. Briefly state that the issue they reported should now be resolved.
3. Ask them to confirm if things are working as expected on their end.
4. Provide a direct link to where they can test the fix: [[TESTING_URL]].
5. Thank them for their patience.
JSON Metadata:
json
{
"prompt_id": "cs_t1_004",
"use_case": "Proactive Resolution Update",
"variables": [["ISSUE_DESCRIPTION", "TICKET_ID", "TESTING_URL"]],
"tone": "proactive, helpful",
"constraints": "Do not close the ticket automatically."
}First AI Contact Disclosure (EU AI Act)
Generate a compliant first-contact message that incorporates an AI disclosure.
The user is asking about [[TICKET_TOPIC]].
1. Begin with a clear disclosure, such as "You're interacting with an AI assistant from [[COMPANY_NAME]]."
2. Provide an immediate option to escalate to a human agent (e.g., "You can ask for a human at any time.").
3. Then, proceed to answer the user's initial query based on the context provided.
4. Keep the entire message concise and clear.
JSON Metadata:
json
{
"prompt_id": "cs_t1_005",
"use_case": "Compliant AI First Contact",
"variables": [["COMPANY_NAME", "TICKET_TOPIC"]],
"tone": "transparent, direct",
"constraints": "Must include disclosure and human escalation path at the start."
}Acknowledge Frustration & Take Ownership
The user is expressing significant frustration about [[USER_ISSUE]]. They have contacted us [[NUMBER_OF_CONTACTS]] times already.
Draft an empathetic response that:
1. Uses phrases that validate their feelings (e.g., "I understand how frustrating this must be," "You're right to be upset.").
2. Explicitly apologizes for the negative experience, without admitting fault for the underlying issue. Example: "I'm sorry for the trouble this has caused."
3. Summarizes the problem in my own words to show I've understood: [[PROBLEM_SUMMARY]].
4. States the immediate next action I am personally taking: [[AGENT_ACTION]].
JSON Metadata:
json
{
"prompt_id": "cs_deescalate_001",
"use_case": "Acknowledge Frustration",
"variables": ["USER_ISSUE", "NUMBER_OF_CONTACTS", "PROBLEM_SUMMARY", "AGENT_ACTION"],
"tone": "highly empathetic, validating, accountable",
"constraints": "Apologize for th…Will AI replace customer service agents?
Partly. AI now answers many routine tickets, so the job is shifting towards complex cases, escalations and managing the AI itself.
What AI already does
- Answers common questions instantly in chat and email
- Drafts replies and summarises long ticket threads
- Routes and tags tickets by topic and urgency
What stays human
- Upset customers and sensitive situations
- Complex cases that need judgement or exceptions
- Training, checking and improving the AI answers
- Become the person who trains and reviews the bot
- Own the hard tickets the AI hands over
The problems AI is fixing for customer service agents
Ticket Mountains
Support queues are flooded with simple, repetitive questions (e.g., 'Where is my order?'), overwhelming agents.
AI chatbots instantly resolve up to 60% of tier-1 queries without human intervention.Angry Customers
Long wait times cause customers to escalate issues, resulting in churn and bad reviews.
AI sentiment analysis flags frustrated customers and instantly routes them to senior agents.Language Barriers
Providing 24/7 support across multiple time zones and languages is prohibitively expensive.
AI automatically translates queries and responses in real-time with native-level fluency.Scattered Knowledge
Agents spend too much time searching through messy internal wikis to find the right troubleshooting steps.
AI co-pilots suggest the exact right answer or article to the agent while they are on the call.Guides for customer service agents
Best AI for Customer Care in 2026: Features and Pricing
Compare top AI for customer care platforms in 2026. Detailed guide covering features, pricing, voice vs text AI agents, and ROI for support…
26 Oct 2026Best AI Agent for Customer Support Automation in 2026
Compare top ai agent for customer support automation platforms in 2026. Evaluate Gorgias, Sierra, Zendesk, and more on deflection, pricing,…
2 Oct 2026LG and Microsoft Team Up for Interruptible Voice AI
LG Electronics and Microsoft introduce interruptible voice AI for the ThinQ ON hub, promising speech-to-speech processing and mid-conversat…
30 Sep 2026Best AI Customer Service Software in 2026
Evaluate the best AI customer service software in 2026. Compare Gorgias, Intercom, Zendesk, and enterprise tools on features, automation ra…
30 Sep 2026Best AI Customer Service Agent Platforms for 2026
Compare top AI customer service agent platforms for 2026. Review pricing, channel coverage, implementation friction, and ROI metrics for su…
28 Sep 2026Best AI Call Center Software in 2026
Discover top ai for call center tools in 2026. Compare Vapi, Retell AI, Salesforce Service Cloud, and enterprise voice tools to automate cu…
27 Sep 2026New this month
Questions about AI for customer service agents
What are the best AI tools for customer service agents in 2026?
Are there free AI tools for customer service agents?
Can customer service agents get paid to train AI?
Will AI replace customer service agents?
Is it safe to send customer conversations to AI tools?
How much does AI customer support software cost?
Does AI actually reduce support ticket volume?
What happens when AI gives a customer wrong information?
What should a small support team automate first?
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