AI Chatbot for Business: Answers From Your Own Knowledge, 24/7
We build chatbots that answer customers and staff from your own documents, collect leads, book appointments and pass difficult cases to a person. An AI chatbot for business should be accurate, limited to what it knows and connected to your CRM. Integration work starts from $1,400.
What an AI chatbot for business should do
A useful chatbot solves a few repeat tasks well. These are the parts we build into every project.
Answers from your knowledge base
A knowledge base chatbot with retrieval (a RAG chatbot) over your documents, help center and product data, so replies come from your sources, with references.
Handover to a person
Clear rules for when the bot escalates, with the conversation history passed to your team.
CRM and tools
Leads, tickets and bookings created in your CRM, helpdesk or calendar without copy-paste, as an AI chatbot for customer service should do.
Channels
One bot on your website (an AI chatbot for website visitors), a WhatsApp AI chatbot, a Telegram chatbot, a Facebook Messenger chatbot and email, with the same knowledge behind each.
Accuracy controls
Answers limited to approved content, fallbacks when unsure and checks against chatbot hallucination.
Analytics
Chatbot analytics: questions asked, resolved share, handover rate and satisfaction, so the bot improves every month.
Why companies build chatbots with us
Many bots disappoint because they answer from nowhere. Ours answer from your content, or hand over.
Published starting price
Integration from $1,400 per project, with a written scope and a fixed price after a short assessment.
Grounded answers
The bot is restricted to your approved sources and says when it does not know.
Engineers, not only configuration
We can build custom logic and integrations. See web application development for portals and dashboards.
Measured from day one
We track resolution rate, handovers and cost per conversation and report monthly.
How a chatbot project runs
Scope
We pick the top repeat questions and tasks and agree on what the bot must and must not do.
Build the knowledge
We prepare your documents, set up retrieval and write the rules and tone of voice.
Connect and test
We connect channels and systems and test on real conversations.
Launch and improve
We launch to part of your traffic, review transcripts and tune the bot each month.
Rule-based bot or AI chatbot: which one you need
Both have a place. The choice depends on how varied your questions are.
| Case | Best fit | Reason |
|---|---|---|
| Few fixed questions and buttons | Rule-based bot | Simple and cheap |
| Many varied questions from documents | AI chatbot with retrieval | Understands wording and finds the answer |
| Needs actions in other systems | Chatbot with tools or an agent | Creates tickets, bookings and updates |
| Voice calls | Voice AI agent | Speech in and out |
| Large organisation with many teams | Enterprise chatbot | Needs SSO, audit logs and governance |
| Staff questions on HR and IT | HR chatbot | Internal knowledge with permissions |
A bot that answers wrongly costs more than no bot, so we limit scope and measure accuracy before widening it.
For tasks that need actions across tools, see AI agent development and the wider AI development services.
What good chatbot development looks like in practice
A good chatbot starts from the questions people really ask. We read support tickets, chat logs and emails, group them into intents and decide which ones the bot should handle. Then we prepare the knowledge: clean documents, FAQs and product data, with owners who keep them current. A bot is only as good as the content behind it.
People search for this work as an AI chatbot for business, AI chatbot development services, an AI chatbot development company, a business chatbot, custom chatbot development, chatbot development services, a chatbot company or chatbot for enterprises, and the scope is the same: knowledge, channels, integrations and monitoring. We use retrieval-augmented generation (RAG) so answers come from your documents, add a fallback when confidence is low and test for hallucinations before launch. Channels include your website, WhatsApp, Telegram and Messenger, and the bot can work in several languages. The chatbot uses natural language to work as a virtual assistant for customer service and business processes: we write the use cases down, agree the tech stack and security rules, and connect the social media channels you already use.
Handover is part of the design: when a customer is upset or the request is outside scope, the bot passes the chat to a person with the history. We follow GDPR and privacy rules, mask sensitive data and keep logs for review. The bot can be multilingual, and escalation rules cover upset customers. AI chatbot pricing depends on channels, languages and integrations, and companies that hire chatbot developers from us get a fixed price in writing and a monthly report on results. A chatbot for lead generation qualifies visitors before sales calls, a chatbot for small business starts with a handful of questions, and an AI chatbot for ecommerce answers order and delivery questions.
Questions we get on the first call
What is an AI chatbot for business?
It is a chatbot that answers customers or staff from your own documents and data, completes simple tasks, and hands over to a person when needed.
How much does an AI chatbot cost?
Integration work starts from $1,400 per project. The final price depends on channels, languages and integrations, and it is fixed in writing after a short assessment.
Will it make up answers?
We limit answers to approved sources, add fallbacks and test for made-up facts before launch. When the bot does not know, it says so and hands over.
Which channels can it work on?
Your website, WhatsApp, Telegram, Messenger and email, with the same knowledge behind each channel.
Can it connect to our CRM?
Yes. It can create leads and tickets, check order status and book appointments through your CRM, helpdesk or calendar.
How long does it take to launch?
A first version usually takes three to six weeks, depending on content and integrations.
What is a RAG chatbot?
It is a bot that searches your documents first and writes the answer from what it finds, so replies stay tied to your content instead of general guesses.
Do you build WhatsApp and Telegram bots?
Yes. We build a WhatsApp AI chatbot, a Telegram chatbot and a Messenger bot on the same knowledge base, with handover to your team.
How do I start?
Send your top questions or a link to your help center, or ask for the free assessment. You get a scope and a price, usually within a few days.
Send us your top ten questions. We will show what a bot can handle.
The first assessment is free and yours to keep. Get a chatbot with grounded answers, handover and monthly reports.