The AI chatbot for customer service that resolves
Answer every customer instantly, in their language, on any channel - grounded in your own help content and able to actually complete the request, not just describe it.
See It Working
Watch it learn your help centre
From a documentation URL to a widget answering real customer questions, start to finish.
Crawl your documentation, drop in the widget, and it is answering customer questions in minutes.
Customer Service AI
What an AI chatbot for customer service does
An AI chatbot for customer service is a conversational agent that answers customer questions, resolves common requests, and hands off to a human when it cannot. It understands what was actually asked, answers from your own help content, and can take action on your systems - rather than matching keywords to a canned reply.
Answers from your content
Point a dataset at your help centre, docs, or policies. The agent retrieves the relevant passage at answer time, so answers change when your documentation does.
Completes the request
Check an order, process a return, update a subscription. Skillsets let the agent call your systems and finish the job instead of handing the customer a link.
Every channel, one agent
Website widget, WhatsApp, Slack, Discord, Telegram, Messenger. Configure once and deploy everywhere your customers already are.
Always on
The questions that arrive at 2am get answered at 2am. No queue, no overnight backlog waiting for the morning shift.
Escalates on your terms
You define when to hand off - low confidence, an explicit request, a sensitive topic - and the conversation moves to a human with full context attached.
Safe by default
Content filtering, PII controls, and GDPR and CCPA compliance built in. Keep data in your region, or run the whole platform in your own infrastructure.
Scripted vs. Agentic
Most support bots deflect, not resolve
A decision tree can only answer the questions someone predicted. An agent reads your documentation and acts on your systems.
- Matches keywords to a canned reply, and misses anything phrased differently
- Escalates the moment a question falls outside the script
- Every new policy means rewriting the decision tree
- Can tell a customer where the refund policy is, but cannot issue the refund
- Each channel needs its own build and its own maintenance
- Understands the question as asked and answers from your real documentation
- Escalates only when your policy says it should, with full context attached
- Update the source content and the answers update with it
- Verifies the order and issues the refund inside the conversation
- One agent configuration serves the widget, WhatsApp, Slack and the rest
Getting Started
Live in a day, not a quarter
Point it at your help content
Crawl your help centre, upload documents, or sync an existing knowledge base into a dataset.
Give it the actions it needs
Compose a skillset so the agent can look up orders, process returns, or open tickets in your systems.
Set your escalation policy
Decide when a human should take over, and where the handoff lands - Slack, your helpdesk, or a shared inbox.
Deploy to every channel
Embed the widget and connect the messaging platforms your customers already use. One agent, everywhere.
FAQ
See the most frequently asked questions about using AI chatbots for customer service with ChatBotKit.
What is an AI chatbot for customer service?
An AI chatbot for customer service is a conversational agent that answers customer questions, resolves common requests, and hands off to a human when it cannot. Unlike a scripted bot that follows a fixed decision tree, an AI chatbot understands what the customer actually asked, retrieves the answer from your own help content, and can take action - checking an order, issuing a refund, or opening a ticket.
How is this different from a traditional helpdesk chatbot?
Traditional helpdesk bots match keywords to canned replies and escalate the moment a question falls outside the script. A ChatBotKit agent is grounded in your knowledge base through datasets, so it answers from your real documentation, and it can call your systems through skillsets to complete the request rather than just describing it.
Will it replace my support team?
No - it removes the repetitive tier-one volume so your team can spend time on the cases that need judgement. Most teams see the agent resolve the routine questions that arrive out of hours and pass anything ambiguous straight to a human with the full conversation attached.
How does the agent know the answers?
You point it at your existing content. Crawl your help centre, upload documents, or sync a knowledge base, and the agent retrieves the relevant passage at answer time. When your documentation changes, the answers change with it - there are no scripts to rewrite.
Can it hand off to a human agent?
Yes. You define when the agent should escalate - low confidence, an explicit request, or a sensitive topic - and the conversation moves to your team with full context. ChatBotKit integrates with the tools support teams already run on, including Slack, Discord, and your website widget.
Which channels can customers reach it on?
The same agent works on your website widget, WhatsApp, Slack, Discord, Telegram, Messenger, and more. You configure it once and deploy it everywhere - see AI Messaging for the full list of supported channels.
How long does it take to get a support agent live?
Most teams have something answering real questions the same day. Point a dataset at your help centre, pick a blueprint, and embed the widget - the slow part is usually deciding your escalation policy, not building the agent.
Is customer data kept private?
Yes. ChatBotKit provides content filtering, PII controls, and compliance with GDPR and CCPA. You control what data is retained, and enterprise deployments can run in your own region or entirely inside your own infrastructure with on-premise deployment.
Your team, free for the conversations that need them
What changes when the repetitive questions answer themselves.
questions that arrive overnight get answered overnight, instead of queuing until morning
customers get answers in their own language, with no translation workflow to manage
pre-built actions to look up an order, process a return, or update a record
one configuration serving the website widget, WhatsApp, Slack, and the rest
Connected to the tools support runs on
Wire your support agent into the systems that hold the answers - CRMs, helpdesks, order systems, and your own APIs.
Customer Stories
Case studies from teams shipping AI
See how organizations use ChatBotKit to launch production AI assistants, validate new products, support customers, and create richer digital experiences.
Enterprise search
Quench
Discover Quench.ai, the enterprise search company founded by Husayn Kassai, the serial entrepreneur behind Onfido. Quench helps large organizations unify and discover their internal knowledge through natural language search. Built on ChatBotKit's Forward Deployment platform - the environment powering the "Quench Sandbox" - Quench prototypes, runs discovery, and validates AI products with real customers in days rather than quarters. Learn how this approach delivered 10x faster prototyping and won major enterprises including Yum Brands, MotorK, Podium, and numerous Fortune 500 companies, turning rapid customer iteration into a sustainable competitive advantage.
Healthcare charity
Debra
DEBRA UK is the leading charity for individuals with epidermolysis bullosa (EB), a rare genetic skin condition. Committed to providing lifelong care and seeking cures, DEBRA supports nearly 4,000 members across the UK. With over £22 million invested in research, DEBRA is the largest UK funder of EB studies. The organization addresses the complex information needs of patients and caregivers by offering reliable resources and support. Learn about DEBRA's innovative chatbot, providing 24/7 assistance for inquiries about EB, fundraising, and support services, ensuring accurate and compassionate communication. Explore DEBRA's mission to improve lives and advance research for those affected by EB.
Education wellbeing
Elggo
Discover Elggo, the MENA and Southeast Asia region's first AI-powered wellbeing platform for K–12 schools. Founded after the COVID-19 pandemic to close a gap in culturally relevant mental-health resources, Elggo delivers evidence-based curricula designed by regional psychologists and educators. By integrating ChatBotKit's conversational AI, embeddable widget, and multilingual support, Elggo provides students and teachers with always-on, personalized guidance on emotional literacy, decision-making, and growth mindset. Learn how a controlled trial of 12,000 students across 32 schools saw a 30% increase in student wellbeing, and how the platform scaled across seven countries while keeping content culturally responsive and data-driven.
Cultural heritage
Faro
Discover FARO, the Flemish government's cultural heritage organization, which enhances access to heritage collections through its innovative ErfgoedApp. Launched in 2015, the app utilizes augmented reality, IoT, and AI to provide on-site, multilingual guidance for museums and heritage sites. In celebration of its 10th anniversary, FARO has partnered with ChatBotKit to introduce AI chatbots, transforming the app into an on-demand heritage guide. Visitors can ask questions about artworks and historic landmarks at any time, while geofencing technology provides location-aware storytelling. With plans to expand this interactive experience across more sites, FARO is committed to making heritage discovery intuitive and personalized for everyone.
Customer service
Intelliway
Discover Intelliway, a Brazilian technology firm building AI-powered customer service solutions for businesses across Brazil and Latin America. Using ChatBotKit's API-first platform as their backend, Intelliway builds custom-branded interfaces on top of powerful conversational AI while retaining full control over the customer experience. Learn how native Brazilian Portuguese understanding, scalable cloud infrastructure, and advanced language models help Intelliway serve hundreds of clients across multiple industries, with one major retail client reporting a 40% increase in positive customer feedback. Explore how the platform-as-a-backend approach positions Intelliway to lead conversational AI across the Americas.
Ready to let your support agent take tier one?
Book a meeting with our team. We will scope your help content, map your escalation policy, and get an agent answering real customers fast.