Knowledge base training
We ground the assistant in your website, documents, policies and FAQs using retrieval-augmented generation. Answers come from your approved content, not the open internet.
AI & Automation · AI Chatbots
An AI chatbot is an assistant on your website or messaging channels that answers questions, qualifies enquiries and books appointments using your own content. We build each one on your approved knowledge rather than generic internet answers, connect it to your CRM and calendar, and set it up to hand over to a person when it should.
AI Chatbots
We ground the assistant in your website, documents, policies and FAQs using retrieval-augmented generation. Answers come from your approved content, not the open internet.
Deploy on your website, WhatsApp, Instagram, Messenger or inside your app. One assistant, consistent across every channel.
The assistant asks the right questions, qualifies enquiries and sends structured lead data straight to your CRM. Sales teams receive context, not just a name and email address.
Integration with calendars and booking systems so visitors can schedule appointments, demos or consultations without leaving the conversation.
Common support questions, order lookups and account queries handled instantly. Complex or sensitive cases are routed to your team with the full conversation history.
Brand voice, topic limits, privacy controls and escalation rules configured from the start. Conversation analytics show what customers ask and where answers need improving.
We define the jobs the assistant should do, the questions it must answer, the systems it connects to and when it should hand over to a person.
Your content is gathered, cleaned and structured into a knowledge base, then tested against real customer questions until answers are reliable.
The assistant is connected to your CRM, calendar and support tools, styled to your brand and deployed on the agreed channels.
Conversation logs and outcomes are reviewed regularly to close knowledge gaps, refine responses and improve conversion.
It searches your approved content before each answer instead of relying on what the underlying model learned elsewhere. This method, called retrieval-augmented generation, draws on your web pages, help articles, PDFs and policies. The model itself is not retrained on your data, so keeping the assistant up to date is as simple as updating the source content.
Running costs depend mainly on conversation volume and the AI model used, plus any platform or messaging fees. Other factors include how many channels it covers, such as your website and WhatsApp, the size of the knowledge base and how much ongoing tuning you want. We estimate these with you during scoping, so there are no surprises once the assistant is live.
Yes, any AI system can make mistakes, which is why guardrails matter. We limit the assistant to approved content, instruct it to say when it does not know, and route sensitive or uncertain questions to a person with the full conversation attached. Regular reviews of conversation logs catch weak answers and show which content needs improving.
It can be, but compliance depends on how the assistant is built and which AI provider processes the data. We use enterprise AI services whose terms exclude training on your data, set retention periods, add privacy and consent notices where needed and keep sensitive information out of the knowledge base. Your data protection lead can review every data flow before launch.
No. A chatbot on your site answers your own visitors, while appearing in ChatGPT depends on whether public AI tools know, trust and cite your brand. That second job is GEO (generative engine optimisation). The two do support each other: the clear, factual content we prepare for an assistant's knowledge base can also be published to help AI tools describe you accurately.
Ready when you are
Tell us where you are and where you want to be. We will come back within one working day with next steps.