Sales and consultations
Answers product questions, helps a customer choose, and guides them toward a request.
AI Chatbots for Business
We build chatbots that answer with substance: grounded in your own knowledge base, aware of the conversation's context, and clear about when to hand off to a person.
01What a chatbot does
Customer support
Resolves routine questions on order status, payment and terms using your knowledge base.
Enquiry qualification
Clarifies the details of a request and passes to a manager only the conversations that need a person.
Working from a knowledge base
Answers are grounded in your documents, policies and FAQ, not the model's general knowledge.
02Common scenarios
Consultation on the website
A website widget answers a visitor's questions in real time and prompts them to leave a request.
Support in Telegram
A customer gets an answer about an order or service directly in a chat with the bot.
Qualification before a sale
The bot establishes need and budget before handing the conversation to a manager.
Escalating a hard question
When the bot can't answer confidently, the conversation goes to a team member with the full history attached.
03How it works
- 01
Customer question
- 02
Knowledge base search
- 03
Answer generation
- 04
Clarification if needed
- 05
Handoff on escalation
04Integrations
- Website widget
- Telegram
- CRM (amoCRM, Bitrix24)
- Knowledge base / documents
05Benefits for the business
01
An answer at any hour
Customers get a response right away, even outside office hours or when managers are busy.
02
Less load on support
Routine questions are resolved without staff involvement.
03
Accurate answers grounded in your data
The bot answers from your documents and policies rather than guessing.
04
A smooth handoff to a person
Complex cases reach a team member with context, not a blank slate.
06Example solutions
A consultant chatbot on the website
Helps a visitor choose a service or plan and guides them toward a request.
A knowledge-base support bot
Answers documentation questions and escalates anything unusual.
A pre-call qualification bot
Collects the basics about a customer before handing them to a manager.
07Implementation stages
Knowledge base audit
We review the documents and FAQs the bot will draw its answers from.
Dialogue design
We map the conversation flow and define when to escalate to a person.
Build and integration
We connect the bot to your website, Telegram and CRM.
Launch and tuning
We deploy the bot and refine its answers against real conversations.
08Questions and answers
Will the bot make things up?
No — it is grounded in your own documents and knowledge base, and it is designed to say when it does not know rather than guess.
Can it work across our website and Telegram at once?
Yes — the same knowledge base and logic can power the bot on multiple channels.
How does it know when to hand off to a person?
We define the boundary during design — anything outside its confidence or scope is escalated with the conversation history.
Do we need to keep the knowledge base updated?
Yes, the same way you would maintain any documentation — the bot is only as accurate as the material it draws from.
How is this different from an AI agent?
A chatbot mainly answers and guides a conversation. An agent takes action inside your systems. Many businesses use both together.
Next step
Tell us what your customers keep asking.
We'll show you what a chatbot can resolve on its own, and what should stay with your team.