AI Chatbot Development
An AI assistant on your website and Telegram that answers customers around the clock - from your own FAQs, product data, and systems, not generic internet knowledge - and hands the conversation to your team when a person is needed.
A Chatbot That Actually Knows Your Business
Customers ask the same questions every day - opening hours, prices, stock, order status, how to book. When the answer takes hours, they move on. A traditional rule-based chatbot rarely helps: it only understands the exact phrases someone scripted, and falls apart the moment a question is worded differently.
An AI chatbot understands questions written the way people actually write them. We ground it in your own material - FAQs, product catalogue, price lists, policies - through retrieval-augmented generation (RAG), so it answers from your data instead of inventing one. Where it helps, it also connects to your systems to check live information such as order status or availability.
We build for two channels: a chat widget on your website and a Telegram bot, both running on the same knowledge base. And because a chatbot should never trap a customer, every conversation can be handed over to your team with the full context attached.
What's Included
Everything needed to take a chatbot from idea to a channel your customers use every day.
Website Chatbot
A chat widget styled to match your brand, embedded on any website with a single script, working on desktop and mobile browsers.
Telegram Bot
An AI assistant on Telegram for your customers, or inside your team’s groups to answer internal questions about products, prices, and SOPs.
Trained on Your Business Knowledge
Answers grounded in your FAQs, catalogue, price lists, and policies through RAG. Update a document and the chatbot knows - no retraining required.
Need data to stay on your server? Private LLMConnected to Your Systems
Integration with your website, database, or internal APIs so the chatbot can check live information such as order status, stock, or bookings.
Handover to Your Team
When a question needs a person, the conversation is passed to your staff with the full history, and the chatbot says so honestly instead of guessing.
Dashboard, Guardrails & Monitoring
Conversation logs, the topics customers ask about most, unanswered questions to fill gaps, guardrails that keep answers on-topic, and usage cost tracking.
How We Build Your Chatbot
Short phases, each tested on real questions from your customers.
Conversation Mapping
We collect the questions your customers actually ask, decide what the chatbot should handle and what goes to people, and agree on its tone of voice.
Knowledge Base Preparation
Your FAQs, product data, and policies are organised into a knowledge base the chatbot can search, and any system integrations are scoped.
Build & Channel Integration
We build the chatbot, the website widget and Telegram bot, the handover flow, and the connections to your systems.
Testing on Real Questions
The chatbot is measured against a set of real customer questions before launch, and its answers are tuned until they meet the bar we agreed.
Launch & Continuous Improvement
After launch we review unanswered questions and conversation logs, extend the knowledge base, and keep the chatbot improving as your business changes.
Technologies We Use
Language models, retrieval, and the web and Telegram stack that delivers them.
AI Chatbot vs Rule-Based Chatbot
Not every business needs AI. Here is how the options differ, so you can judge which one fits.
| Manual Customer ServiceYour team answers every message. | Rule-Based ChatbotButtons and keyword menus scripted in advance. | AI ChatbotA language model grounded in your own data. | |
|---|---|---|---|
| Understands free-form questions | Yes | Only the exact phrases scripted | Yes, in natural language |
| Source of answers | Staff knowledge | Fixed scripted replies | Your FAQs, documents, and systems |
| Availability | Working hours only | 24/7 | 24/7, with handover to your team |
| Effort to keep up to date | Training every new staff member | Every new question needs a new rule | Update the documents, not the rules |
| Best suited for | Low volume, complex or sensitive conversations | A handful of simple, predictable questions | Repetitive questions at volume, with people for the rest |
When to Choose This Service
An AI chatbot pays off when the same questions arrive every day and slow answers are costing you customers. Consider this service when:
- Your customer service team answers the same questions about prices, stock, or schedules again and again.
- Customers message outside working hours and wait until the next day for a reply.
- Leads are lost because nobody responded while the buyer was still interested.
- Your team keeps asking each other about products or SOPs in Telegram groups.
- Your current rule-based chatbot frustrates customers because it does not understand their questions.
- You want an AI assistant that answers from your own data, not from general internet knowledge.
Frequently Asked Questions
What is the difference between an AI chatbot and a regular chatbot?
A regular, rule-based chatbot follows a script: it only recognises the keywords or buttons someone programmed. An AI chatbot uses a language model to understand questions written in natural language, then answers from your own knowledge base. It can handle the many ways customers phrase the same question, and it can be updated by editing documents rather than writing new rules.
Which channels can the chatbot run on?
We build AI chatbots for two channels: a chat widget on your website and a Telegram bot. Both can share the same knowledge base, so an answer updated once applies everywhere.
Will the chatbot give wrong answers or make things up?
The chatbot answers from your own documents through retrieval-augmented generation, and we instruct it to say it does not know, then hand over to your team, rather than guess. Before launch we test it against real customer questions, and after launch we review unanswered and low-confidence conversations to close the gaps.
Can the chatbot check order status, stock, or bookings?
Yes, if your system exposes that data through an API or database we can connect to. We scope these integrations during the knowledge base phase so the chatbot only touches the data it genuinely needs.
Is our customer conversation data safe?
Conversation history is stored in your own database and belongs to you. For the language model itself you can use a managed API such as Claude or OpenAI, or - when data must not leave your infrastructure - a self-hosted private LLM, which we also build.
How much does it cost to build an AI chatbot?
Cost depends on the channels, how large the knowledge base is, which system integrations are needed, and the expected message volume, which also drives the ongoing language model cost. We scope these in a consultation and give you a clear estimate before any build starts.
How long does it take to build an AI chatbot?
A chatbot for one channel with an existing FAQ can be ready relatively quickly, while one that connects to several internal systems takes longer. We agree the timeline after mapping your conversations, and we start with the most frequent questions so value shows early.
Ready to answer customers around the clock?
Tell us which questions your team answers most often - we will show you what an AI chatbot on your website or Telegram could take off their plate.
Schedule a Consultation