AI Chatbot & Assistant Development
Assistants grounded in your data that actually help.
We build AI chatbots and assistants grounded in your content (RAG), so they answer from your docs, products, and policies instead of guessing. For support, sales, and internal teams.
What you get
- Answers grounded in your data (RAG)
- Support, sales, and internal use
- Handoff to a human when needed
- Analytics on what people ask
Retrieval, not memorisation
The bot should not answer from what the model happens to know. It should search your documents at question time, receive the relevant passages, and answer only from those, citing where the answer came from so a user can check it.
This is why content quality decides the outcome. If your help centre is out of date or contradicts itself, the bot repeats that faithfully. Sometimes the honest recommendation is to fix the content first, which is cheaper than any build.
Knowing when to hand over
The most important feature is the escape hatch. When confidence is low, when the user is frustrated, when the topic is billing or a complaint, or simply when they ask, the conversation goes to a human with the full transcript attached.
Bots that trap people in loops damage the brand more than having no bot at all. We set the handover rules with you and tune them after reading real conversations from the first weeks.
Doing things, not just answering
The step up in value is when the bot can act: check an order, change a booking, reset something, or raise a ticket. That means authenticating the user properly and being careful about what actions are allowed without a human.
We treat read actions and write actions differently. Looking something up is low risk. Changing or cancelling something needs confirmation and a log.
Measuring whether it is working
The metric is not conversation count. It is deflection: the percentage of conversations resolved without a human, plus the satisfaction of the ones that were. Both are only meaningful if you also track what it got wrong.
We build the review queue alongside the bot, so unanswered and low-confidence conversations become the list of what to fix next.
AI Chatbot & Assistant Development: common questions
Force answers to come only from retrieved documents, require it to say when it does not know, show the source, and keep the scope narrow. That combination removes most of it. The remainder is handled by handover and by reviewing real conversations.
Other things we do.
Have a workflow worth automating?
Book a 30 minute call. We will map where AI voice, automation, or a new app can save your team real hours, and what it takes to ship it.