AI chatbots that actually understand your business
Gjethe builds AI chatbots that answer from your own products, policies and documentation using retrieval-augmented generation, on your website, WhatsApp, Telegram, Messenger or Slack. They resolve common questions, qualify leads and book appointments, say when they don't know, and hand the conversation to a person when it matters.
- Free first consultation
- Written quote for your project
- Flexible payment milestones
At a glance
- Channels
- Website, WhatsApp, Telegram, Slack
- Grounded in
- Your documents and data
- Languages
- Albanian, English, German and more
- Safeguards
- Human hand-off and source citations
Definition
What is AI chatbot development?
An AI chatbot is a conversational assistant that uses a large language model to understand questions in natural language and respond helpfully, ideally grounded in an organisation's own content rather than the model's general knowledge.
Most chatbots frustrate people with generic answers and loops with no way out. A useful chatbot is grounded in your real content, admits when it isn't sure, cites its sources, and passes the conversation to your team at the right moment with full context. That's the standard we build to, and we test it against real customer questions before it goes live.
Who is it for?
Teams answering the same questions daily
Support staff spend hours on opening times, prices, delivery, returns and how-to questions that a well-grounded bot can answer instantly, at any hour.
Businesses that lose leads after hours
Visitors arrive in the evening or at weekends with questions. A chatbot answers, qualifies and books a call instead of letting them leave.
SaaS and product companies
Users need help inside the product. An assistant grounded in your docs reduces tickets and speeds up onboarding.
Service providers with bookings
Clinics, salons and consultants whose customers want to check availability and book without calling.
Companies serving several languages
One assistant answers in the customer's language from content maintained once.
What's included, and what you keep
What's included
- Use-case workshop and conversation design
- Content audit and knowledge base preparation
- Retrieval set-up over your documents and pages
- Model selection for accuracy, cost and language
- Website widget designed to match your brand
- Messaging channel integration (WhatsApp, Telegram, Slack)
- Lead capture and CRM integration
- Booking or order look-ups via your systems
- Human hand-off with full conversation history
- Guardrails: topics, tone and refusal rules
- Evaluation against real customer questions
- Analytics dashboard of questions and outcomes
What you receive
Handed over at the end. Yours to keep.
- Live chatbot on your chosen channels
- Admin access to update content and settings
- Evaluation report with test questions and results
- Conversation analytics dashboard
- Source code and infrastructure on your account
- Guide for keeping the knowledge base current
How do we stop the chatbot from making things up?
Language models are fluent, not factual. Left alone, they fill gaps with plausible-sounding answers. We reduce that risk in layers. First, the bot retrieves relevant passages from your own content before answering and is instructed to answer only from them. Second, it cites its sources so customers and your team can check.
Third, it's allowed, and encouraged, to say “I don't know” and offer a person instead. Fourth, we test it before launch against a set of real questions, including tricky and out-of-scope ones, and measure how often answers are correct, grounded and appropriately cautious.
After launch, the analytics show which questions it couldn't answer. Those gaps usually point to missing content on your website as much as to the bot itself.
Rules-based bot or AI chatbot?
| Rules-based bot | AI chatbot | |
|---|---|---|
| How it works | Fixed menus and decision trees | Understands free-text questions and retrieves answers |
| Best for | A few predictable flows, like order tracking | Many varied questions from a large knowledge base |
| Maintenance | Every new question needs a new branch | Update the content; the bot uses it |
| Risk | Can't answer anything off-script | Needs grounding and testing to stay accurate |
What a good chatbot does for you
Answers instantly
Common questions resolved in seconds, at any hour, in the customer's language.
Qualifies leads
Asks the right questions and passes warm leads to sales with the details filled in.
Books and looks up
Checks availability, books appointments and finds orders through your systems.
Shows what people ask
Analytics reveal the questions customers have, and the content your site is missing.
How AI chatbot development works, step by step
Every step has a clear output you can review. Timing is agreed in your quote.
- 1
Scope the job
Which questions and tasks the bot handles, on which channels, and when it hands over.
- 2
Prepare content
We gather and clean the documents, pages and FAQs it will answer from, and fill obvious gaps.
- 3
Build retrieval and prompts
Search over your content, model selection and instructions for tone, scope and refusals.
- 4
Integrate
Website widget or messaging channel, CRM, booking and hand-off connections.
- 5
Evaluate
Testing against real and adversarial questions until accuracy meets the agreed bar.
- 6
Launch and improve
Go live, review conversations and close content gaps regularly.
Tools, and what shapes your quote
Pricing is based on your project and agreed in your quote. These are the things that move it.
| Factor | Why it matters |
|---|---|
| Amount and quality of content | Clean, current documentation is quick to use; scattered or outdated material needs preparation first. |
| Number of channels | Each messaging platform has its own integration and approval requirements. |
| Actions, not just answers | Booking, order look-ups or CRM updates require integrations with your systems. |
| Languages | Each language needs testing and sometimes translated content. |
| Accuracy requirements | Regulated or sensitive topics need stricter guardrails and more evaluation. |
| Conversation volume | Model usage fees scale with how many conversations the bot handles. |
| Area | Tools |
|---|---|
| Models | OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama |
| Retrieval | pgvector, Qdrant, Pinecone, hybrid keyword + vector search |
| Frameworks | Vercel AI SDK, LangChain, LlamaIndex |
| Channels | website widget, WhatsApp Business Platform, Telegram, Slack, Messenger |
| Evaluation & monitoring | test question sets, conversation analytics, Langfuse |
Common mistakes to avoid
What we see go wrong most often, and how a good project avoids it.
Launching without testing
A bot that answers confidently and wrongly damages trust quickly. Test against real questions before going live.
No way to reach a person
Trapping customers in a bot conversation turns a minor question into a complaint.
Feeding it outdated content
The bot is only as accurate as its sources. Old price lists and policies produce wrong answers.
Hiding that it's a bot
People should know they're talking to an AI assistant. Transparency builds more trust than imitation.
Never reviewing conversations
The unanswered questions are your best guide to improving both the bot and your website.
Frequently asked questions
Will the chatbot make things up?
We reduce that risk by grounding answers in your own content, instructing the model to say when it doesn't know, citing sources and testing against real customer questions before launch. Where accuracy matters most (prices, policies) the bot quotes your source.
Can it connect to our CRM or booking system?
Yes. The bot can create leads, check availability, book appointments and look up orders through your existing tools' APIs.
What does it cost to run?
Running costs are mainly the AI provider's usage fees plus hosting. We estimate them from your expected conversation volume before you commit, and can set limits.
Which languages can it speak?
Modern models handle Albanian, English, German and many other languages. We test each language you need and adjust content and instructions where answers fall short.
How do we keep its knowledge up to date?
The bot reads from your content sources. When you update a page, document or FAQ, the knowledge base refreshes automatically or on a schedule.
Where is our data processed?
We can use business API terms that exclude your data from model training, choose EU regions where providers offer them, or run open-source models on your own infrastructure when data must stay in-house.
Can the chatbot hand over to our team?
Yes, into your inbox, help desk, Slack or WhatsApp, with the full conversation so customers don't repeat themselves.
Will it work on WhatsApp?
Yes, through the official WhatsApp Business Platform, which requires a verified business account and follows WhatsApp's messaging rules.
How do you measure whether it's working?
By resolution rate, hand-off rate, leads captured, customer ratings and accuracy on a growing set of test questions, reported in a simple dashboard.
Do we own the chatbot?
Yes. The code, configuration, knowledge base and conversation data are yours and run on your accounts.
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Build your AI chatbot.
Tell us what you need. You get an honest assessment, a clear plan and a written quote. The first consultation is always free.
- What happens next
- 1You tell us what you need
- 2We aim to reply within 24 hours with questions
- 3You get a written quote for your project