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It learns your business from your website and docs, answers in seconds on every channel, and hands the tricky cases to your team with the whole story attached.
Free 14-day trial No credit card required AI agent included
The AI agent answers customer support questions the moment they arrive, at any hour, in any volume.
It replies in the languages you allow, so global customers get help in their own words.
When a case needs a person, human agents pick up the thread with the whole conversation attached.
Over 35,000 brands run their customer conversations with Text
AI agents for customer service resolve customer inquiries on their own, answer from your business content, and know when to bring in your team.
AI customer service agents combine large language models, machine learning, and natural language processing to understand customer intent and write specific answers from your own content. The difference from a scripted bot is autonomy: an AI agent evaluates the goal, plans the steps, and acts on them. It checks an order, creates a ticket, or escalates to customer service representatives, without a decision tree telling it where to click. For customer support teams, that means fewer repetitive tickets and a better customer experience for everyone who writes in.
The proof is in production. Across Text customers, the AI agent resolves an average of 73% of conversations on its own, and it scales customer support interactions to any volume: Funded Trading Plus absorbed 15 times more chats overnight and kept a 93% CSAT with the same team. Companies automate support for simple economics: automating repetitive inquiries lowers labor costs while AI support holds service quality steady around the clock. For AI agents for customer service, a traffic spike is routine work, and your support teams get the interesting part.
73%
of conversations resolved by the AI agent on its own, on average, across Text customers.
24/7
The AI agent works without downtime. Customer expectations do not keep business hours.
Up to 266%
lift in visit-to-order rate reported by Shopify stores using Text's AI agent.
Customer service AI agents run every conversation through the same loop: perceive the situation, reason about it, act on it, and log the outcome.
The AI agent captures the customer's message along with the context around it: the page they are on, their order history, past customer interactions, even screenshots they attach. Account details from your store or CRM sit in view, so it knows who is asking before it answers.
The agent weighs the question against your knowledge base and instructions, decides whether it can resolve the case alone, and picks the next step. Simple customer queries get answered on the spot. Sensitive ones follow the boundaries you wrote.
Beyond answering, the AI agent executes multi-step service workflows: it creates and updates tickets, collects customer details, issues a discount code, or calls your backend systems through a webhook mid-conversation. AI agents complete tasks like these without human intervention, so service requests that used to wait for a person get done in the chat.
Each conversation lands in your reports: what the AI agent resolved, what it transferred to human agents, and how customers rated it, so you know exactly where to improve service quality next.
A skill is a plain-sentence rule that tells the AI agent when to act and what to do. No code, no flow charts. These five ship ready to run - watch each one work before you sign up.
When a customer asks about a product, pull a teammate in to keep an eye on the sale.
Test this skill on your websiteWhen a chat turns abusive, close it with a policy warning.
Test this skill on your websiteWhen the team is offline, collect the details and promise a reply the next business day.
Test this skill on your websiteWhen a customer writes in Spanish, route the chat to the Spanish-speaking team.
Test this skill on your websiteWhen a question needs an expert, transfer it to the Support team.
Test this skill on your websiteTrigger on intent, keywords, or the page the visitor is on. Up to ten skills per agent.
Write your own skillThe AI agent answers only from sources you approve, so every reply reflects your business and delivers accurate, up-to-date answers.
Paste a URL and the agent scans up to 5,000 subpages, then rescans on the schedule you set, from every 5 days to once a year.
Upload PDFs, DOCX, PPTX, TXT, or CSV files up to 50 MB each. Product sheets and policies become relevant information the agent can quote.
Write answers directly in the platform for the customer questions your website does not cover. Edits go live in real time.
The same knowledge management layer powers the AI agent in chat, the reply suggestions your support agents see, and the Copilot they ask questions to. Change a price or a policy in one source, and every answer follows within minutes.
Build your knowledge baseThe most effective AI systems complement human agents. Support AI agents take the volume, and you decide who takes the first line.
Per team, you pick the priority: the AI agent handles everything and human agents get what is left, or your team leads and the agent steps in when everyone is busy or offline. When it escalates, the handoff carries the full context, and if nobody picks up within 30 seconds, it creates a ticket, so customer support never drops a request.
Support agents get agent assistance on their side of the desk too: reply suggestions drafted from the knowledge base, a Refine tool that fixes tone and grammar in one click, and AI summaries so the next person reads three lines instead of thirty. The AI copilot answers their questions from the same sources, and personalized support gets faster without getting colder.
Give your team a copilot
AI agents earn their keep when they can touch your core business systems. Connect AI agents to enterprise platforms and everyday tools through native integrations, webhooks, and an API - the difference between an AI agent platform and a bot bolted onto your site.
Live orders, carts, and products sit next to the conversation. The agent answers about account details and order status from real data.
Qualified leads land in Salesforce or HubSpot automatically, with the conversation attached. No copy-paste between tools.
New contacts join your Klaviyo or Mailchimp list, and wins get posted in Slack the moment they happen.
A custom skill can call any external endpoint mid-chat: check a coupon's eligibility, look up a delivery in your logistics tool, read a subscription tier from your billing system, or push the customer's event into your customer data platform. Seamless integration with enterprise platforms is one HTTP request away, and everything the agent did is logged in the skill runs.
Frictionless omnichannel access improves the customer experience: one queue, the same AI agent, the same knowledge, the same rules everywhere.
Live with a copy-paste snippet or the Shopify, WordPress, and Webflow apps.
The same AI agent answers on the WhatsApp integration and Facebook Messenger, in the same inbox.
Twilio-powered texts arrive as chats. Forwarded email becomes tickets, so customer support covers every queue you have.
Every support conversation is a chance to recommend a product, recover an abandoned cart, or close a sale. Text AI agents find the opportunity automatically.
Your AI agent matches customers with products they actually want. Personalized suggestions based on browsing history, cart contents, and conversation context.
Try it freeGenerate and qualify leads instantly, in the right moment. Lead generation becomes part of the conversation experience.
Try it freeDeliver timely, relevant messages based on behavior and intent. Every nudge feels personal and drives action.
Try it freeServe tailored offers at the perfect moment. Context-aware incentives drive sales without feeling pushy.
Try it freeAutomate over 80% of chats and tickets. Your team gets time back, and customers get answers instantly.
Try it freeTransfer conversations with full context and zero repetition. Pick up the thread seamlessly to keep the momentum.
Try it freeFuse runs student housing across Eastern and Central Europe. When maintenance requests piled up, the team put Text's AI agent on the front line.
"When I started at Fuse, a tenant with a serious issue could wait weeks for a response. After onboarding Text, even as ticket volume grew, we got that down to a day."
63%
Faster resolution time
66%
More tickets handled, same headcount
+20 pts
Customer satisfaction
Resolution rates, customer satisfaction scores, and the revenue AI agents for customer support create, all in one report.
The AI agent report tracks the resolution rate, handled conversations, transferred chats, and customer satisfaction split by who answered: AI alone, human agents alone, or both. If you sell online, sales are attributed for 30 days after the chat, because 80% of chat-related sales happen after the conversation ends. A wins counter keeps the running total of sales closed, leads qualified, and customers served on screen.
$1.5M
Revenue after 8 months
+25%
Average order value
80%
AI resolution rate
Teams deploy AI agents in minutes. The AI tools are no-code from signup to go-live: point at your content, set the rules, done.
Start the free trial with your business email and paste your website URL. The AI agent builds its knowledge base from your pages, files, and articles.
Pick a tone of voice, write instructions for role and boundaries, choose your languages, and turn on the skills you want. Test it before customers see it.
Add the widget with a snippet or the AI chatbot builder integrations for Shopify, WordPress, and Webflow. Plug in WhatsApp, Messenger, or SMS when you are ready.
Free for 14 days. No credit card required.
Customer service AI agents have moved from experiment to default. Here is what buyers weigh, and the key features they compare, before choosing an AI customer service platform.
The economics move first. Automating repetitive inquiries lowers labor costs, with industry benchmarks putting the reduction in service operations costs at up to 30% and the drop in first-response times at up to 74%. Studies of customer support operations also report customer satisfaction gains of 15 to 20% and a 25 to 40% cut in low-value work for support teams.
Analyst projections put over 70% of customer queries in the hands of AI-powered virtual assistants within a few years, and support teams that deploy AI agents report leaner service operations, improved customer satisfaction, and a better customer experience at the same time.
Behind the numbers sits a deeper change: customers get guided self-service instead of static documentation, service teams scale to thousands of simultaneous conversations during peak times, and customer interactions are logged for analysis. The AI tools that win track trends across service interactions, including customer sentiment, and turn them into operational decisions.
Vendors package the same core differently - an AI agent platform, an AI agent builder, an AI agent studio - so compare key features instead of labels.
The best AI agents reply from your knowledge base alone and show the relevant information they used.
A handoff to human agents carries the full conversation, following the agent operating procedures you set: when to answer, when to act, when to hand off.
AI agents for customer service should complete tasks: retrieve customer data from your CRM or customer data platform, execute multi-step service workflows, and connect to backend systems via APIs.
One customer service platform supports chat, email, and messaging, so customer interactions land in a single queue instead of five tools.
Multilingual support and personalized service, shaped by each customer's history and customer needs.
Resolution rate, customer satisfaction scores, and agent performance in one view.
It should not matter whether you run a lean helpdesk or an enterprise service cloud; the key features stay the same. Text covers it as part of a complete AI customer service software stack, so support agents, tickets, and reporting are already there.
Ecommerce teams automate support around orders - where is my order, returns, product availability - and an AI chatbot for ecommerce doubles as an AI shopping assistant that recommends and sells. SaaS companies lean on AI-powered customer support for onboarding and how-to customer questions in everyday support operations. Service teams in regulated industries answer from published policies: an AI chatbot for banking handles rates and fees questions and escalates the sensitive cases. The pattern behind every use case is the same: customer expectations moved to instant, specific answers, and AI agents for customer service are how customer support catches up without burning out the people doing it.
No. The most effective deployments pair AI support with people: the agent absorbs routine tasks and repetitive customer issues without human intervention, and human agents keep the judgment calls, the exceptions, and the relationships. Some customer requests need empathy, and some need technical support from an engineer. A customer service chatbot that only deflects tickets treats every conversation as a cost. An AI agent that reads customer needs treats each one as a chance to help someone buy, renew, or stay. That is the difference between cutting customer support and upgrading it - and why improved customer satisfaction is the number that decides whether your deployment worked.
Free 14-day trial No credit card required AI agent included
