Automate support by 40–90% with an AI customer service agent trained on your data
An AI customer service agent responds within seconds, works 24/7, and reduces the workload on your support or sales team. It delivers instant replies across your website, messengers, and social networks — providing fast, consistent service powered by AI.
Cases and articles on how an AI-powered customer agent reduces team workload and scales customer service
How AI support bot resolves 40% of all chat inquiries, replacing two customer service agents
How an AI customer service agent works
You can launch an AI customer service agent in just a few minutes by training it on company data, testing it, and ensuring its quality.
We connect a data source for your AI customer support: website, help docs, or knowledge base
The AI agent is trained on your knowledge base, internal guides, or support content. Training materials may include:
- Help center articles;
- FAQs and product documentation;
- Internal instructions from your support or sales team.
This gives the agent the context it needs to handle repetitive customer service requests clearly and accurately.
We test the AI agent before launch to ensure quality and control
Before launch, test the bot in real scenarios. Share the test link with your team for feedback.This ensures:
- Accurate answers to real customer questions;
- Smooth escalation to live agents;
- Quality control before going live.
Testing builds confidence in the bot’s replies — and smooths the rollout.
Your AI agent works 24/7 across the channels you choose: website, WhatsApp, Telegram, Instagram
The AI support agent works not only in your website chat, but also in messengers like WhatsApp, Telegram, Instagram, and Facebook.
Set up integrations and activate the bot in the channels your customers prefer.
This creates consistent customer service across every platform — day or night.
Routes to a human agent when the AI can't resolve a request
Not all questions can be answered by AI. When needed, the bot passes chats to a live agent.It routes the conversation to a support manager in 3 cases:
- The AI agent doesn’t know the answer;
- Stop words like “payment”, “bug”, or “refund” are used;
- The conversation is closed or idle.
- Your agents remain in control, ensuring smooth customer service at every handoff.
Delivers measurable results: 40% to 70% of customer requests resolved by AI agents
You can view the statistics of resolved inquiries in the Conversation Analytics:
- Number of resolved issues
- SLA (Service Level Agreement)
- Customer satisfaction
Benefits of using AI customer service agents instead of human-only service agents
Human support
✅ Handle complex and non-standard questions with flexibility
✅ Offer a personalized service experience: discounts, upsells, tailored messages
✅ Spot patterns in customer behavior and share insights with the team
❌ Can’t always respond in time — especially during surges
❌ Unavailable at night or during off-hours
❌ Often overloaded with repetitive customer questions
❌ Risk of missed chats, delayed replies, or agent burnout
AI agent support
✅ Resolves up to 90% of incoming customer service inquiries
✅ Instant 24/7 replies — no holidays, breaks, or shift gaps
✅ Scales infinitely — no need to hire more agents during peaks
✅ Cost reduction — replaces or complements the support team without the need for additional hires.
✅ Works across platforms: website, messengers, socials, and email — wherever the customer is.
✅ "Never forgets" — once taught something, it retains the information forever.
✅ Escalates complex chats to a live agent when needed
❌ Limited by the scope of its training. Doesn't know what hasn't been included in the knowledge base.
❌ Lacks empathy (for now) — May sound scripted, can't joke or apologize like a human agent.
❌ Requires oversight — Needs answer audits to prevent mistakes or inappropriate phrases.
Reviews from teams who scaled with AI
Our success team supports your agents at every step — from setup to scale
FAQ about AI customer service, implementation, and training
Launching an AI agent raises a lot of practical questions — especially if it's your first time automating customer service.
What companies usually ask before launch
From training and integrations to escalation logic and oversight, these are the things most businesses want to clarify upfront.
Answers about setup, control, and daily operations.
We’ve collected short, clear answers about configuration, quality control, and how your agents and bot will work together day-to-day
How many inquiries can an AI support agent handle?
In which channels does it work?
Can you control how the agent responds?
How do you train an AI customer service agent?
What if an AI agent makes a mistake?
Is it difficult to implement?
Can I try it for free?
What tools can it be integrated with?
How much does an AI agent cost?
How is an AI agent different from ChatGPT?
Can an AI agent respond only to specific questions?
