An AI chatbot that answers from your own knowledge
A chatbot that helps customers and employees straight away, based on your own information rather than general model knowledge. With source citation for every answer and a clear route to a human as soon as it gets complex. Reliable, not guessing.
What is an AI chatbot for business?
An AI chatbot for business is a conversational assistant that answers questions from customers or employees based on your own knowledge sources. Unlike a general chatbot, it backs answers with the right source (grounding) and hands over to an employee when it isn't sure.
- Answers from your own knowledge, not general model knowledge
- Source citation for every answer
- Escalation to a human when in doubt
- For customer service and internal questions alike
A chatbot that is reliable, not a guessing machine
Most organisations would happily have an AI chatbot, but are rightly wary: what if it tells a customer something wrong with full confidence? That concern is at the heart of why many chatbot projects stall. The answer doesn't lie in a smarter model, but in how you build the chatbot.
The key is grounding: the chatbot bases its answers on your own documents and knowledge sources, not on general knowledge from the model. It first finds the relevant information and formulates the answer from it, with a reference to the source. That way you can check and trace every answer.
Just as important is that the chatbot knows its limits. If it isn't sure, it says so and hands over to an employee, including the context of the conversation. That combination of source citation and escalation is what makes a chatbot reliable rather than risky.
Gaide builds the chatbot as a forward deployed engineer: connected to your knowledge, tested with real questions and continuously improved after launch. Whether it's an external chatbot for customer service or an internal assistant for employees, the goal is the same: giving people a reliable answer faster.
What you get from us
Unlocked knowledge source
Your documents and information made searchable, so the chatbot backs answers with the right source (grounding).
Working chatbot
A chatbot for customer service or internal questions, with source citation for every answer and a clear escalation route to an employee.
Safe, scoped setup
A setup where your data stays within your own or a shielded environment, aligned with privacy requirements and the AI Act.
Measure-and-improve loop
Insight into which questions come in and where the chatbot escalates, so you make it more reliable step by step.
How do we approach it?
From unlocking knowledge sources to a chatbot that goes live reliably.
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Define purpose and knowledge sources
1 weekWe decide together what the chatbot should do and which sources it bases its answers on: manuals, policy documents, product information or your knowledge base. Good scoping prevents vague answers.
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Unlock the knowledge
1-2 weeksWe make your sources searchable so the chatbot backs answers with the right documents (grounding). That way it draws on your knowledge instead of making something up.
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Build the chatbot with source citation
2-4 weeksWe build the chatbot with references to the source for every answer and a clear escalation route to an employee when it isn't sure of the answer.
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Test and refine
1-2 weeksWe test with real questions and refine based on what users actually ask. We watch for when the chatbot should say 'I don't know' instead of guessing.
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Go live and improve
ongoingAfter launch we keep measuring: which questions come in, where does the chatbot escalate, where can it do better? That way it becomes more reliable every month.
What do we help you with, concretely?
Customer service
External chatbot for customers
A chatbot on your website that answers frequently asked customer questions directly from your up-to-date information, and hands over neatly to an employee as soon as it gets complex.
Internal knowledge
Internal assistant for employees
A chatbot that gives employees fast answers to questions about processes, policy and systems, without endless searching through documents or the intranet.
Reliability
Answers you can trust
Every answer references its source, and the chatbot escalates to a human when it isn't sure. That way you avoid it confidently telling someone something wrong.
A reliable chatbot relies on a well-structured AI knowledge system. Using it for customer contact? Then read what AI means for customer service. We build the solution robustly with AI implementation and take it to production by scaling AI.
Curious whether your knowledge is ready for a chatbot?
The AI Readiness Scan shows how well your information can be unlocked — decisive for how reliably a chatbot can answer.
Take the AI Readiness Scan
Frequently asked questions about AI chatbots
How do you stop an AI chatbot from making things up?
By basing the chatbot on your own knowledge sources instead of general model knowledge. This is called grounding: the chatbot first finds the relevant document and formulates its answer from it, with a reference to the source. If it isn't sure, it says so and hands over to an employee, instead of giving a plausible but wrong answer.
What is the difference from an ordinary chatbot or ChatGPT?
A standard chatbot works with fixed menus and decision trees; ChatGPT doesn't know your organisation and draws on general knowledge. An AI chatbot on your own knowledge combines the best of both: it understands free-form questions and answers from your up-to-date, specific information, with source citation so you can check the answer.
Can the chatbot hand over to an employee?
Yes, and that's deliberately a core part. The chatbot handles what it can do reliably and neatly hands the rest to a human, including the context of the conversation. That way you keep the human touch where it matters and avoid frustrated customers getting stuck in a bot.
Does our data stay safe and within our environment?
That's a starting point. We choose a setup where your knowledge and conversations stay within your own or a shielded environment, aligned with your requirements around privacy and the AI Act. Your data is not used to train external models.
How long does it take to get an AI chatbot live?
A first usable version on a scoped topic is often up within a few weeks. The lead time depends on how many knowledge sources we unlock and how deep the integrations with your systems go. We deliberately start scoped, so you quickly have something working that you then expand step by step.
Ready for a chatbot you can trust?
Book a no-obligation call. In 30 minutes we'll look together at which questions a chatbot can handle for you and how to do that reliably.