AI Chatbot Development Company
Chatbots that answer from your documents instead of guessing
A chatbot that makes things up is worse than no chatbot at all. Most of them do it for one simple reason: someone pointed a language model at the website with a two-line prompt and no way to check an answer against anything real. Ours work the other way round. They pull from your help centre, your product docs, your policies and the tickets you’ve already answered, and when the answer isn’t in there, they say so rather than improvising.
Getting that right is mostly unglamorous graft: cleaning up the source content, splitting it so retrieval can actually find the right passage, tuning that retrieval, and writing a test set of real customer questions we re-run every time anything changes. The demo takes an afternoon. Making it dependable is the rest of the project.
When the bot gets stuck, or the customer is plainly losing patience, it hands the whole conversation to a person, history and all. Nobody has to explain their problem twice.
What we build
Customer support chatbots
Answer the questions that clog your inbox, show the source for each one, and pass the rest to a person.
Sales and lead qualification bots
Ask the right questions, work out who’s worth your time, and drop a booked call straight into your calendar.
Internal knowledge assistants
HR, IT and ops questions answered from your own policies, and it respects who’s allowed to see what.
Bots that take action
Check an order, open a ticket, update a record. Not just talk about doing it.
Multilingual bots
One knowledge base, answers in the customer’s own language, checked by native speakers before they go live.
Insight from conversations
A monthly read on what people keep asking, and exactly where your documentation is letting them down.
How we build one
-
01
Collect and clean your content
Help articles, PDFs, policies, ticket history. Anything out of date or contradicting itself gets flagged before the bot can parrot it back to a customer.
-
02
Build retrieval and prompts
We set up the search layer, write the instructions, and, just as importantly, decide what the bot should flat-out refuse to answer.
-
03
Test against real questions
We put together a set of genuine customer questions and score the answers. That set gets re-run after every single change, so nothing quietly slips backwards.
-
04
Launch to a slice of traffic
A small share of visitors first, every conversation reviewed. We widen it only once the quality holds up.
Cases where a chatbot isn’t the answer
- Your documentation is missing or badly out of date. A bot can’t answer from content that doesn’t exist. We’ll help you sort that out first.
- You get a handful of enquiries a week. A tidy FAQ page and a quick human reply will serve your customers better, for nothing.
- The questions are high-stakes and need real professional judgement. The bot can gather the details, but a qualified person should give the answer.
Questions people ask us
How is this different from adding ChatGPT to my website?
Plain ChatGPT knows nothing about your business, so it’ll cheerfully invent answers. Ours is tied to your content, fenced in to what it can actually find there, and tested against your real questions, and it knows when to stop and fetch a human.
Will it make things up?
We cut that right down by grounding every answer in your documents, insisting on sources, and refusing when nothing relevant turns up. We won’t promise zero mistakes, since anyone who does is guessing, which is exactly why we test, monitor, and always keep a route to a person open.
Which AI model do you use?
Whichever one fits. OpenAI, Anthropic’s Claude and Google’s Gemini are the usual suspects, with open-source models when your data can’t leave your environment. It’s swappable, so you’re never married to one vendor.
Is our data used to train the models?
No. We use provider plans that don’t train on customer data, and we only send what’s needed to answer the question in front of it. If you need to be stricter than that, we host open-source models on your own infrastructure.
How do you measure whether it’s working?
Accuracy on a fixed test set, the share of conversations closed without a person, customer ratings where you collect them, and how often it hands off. We agree the targets with you before launch, not after.
Can it do things, not just answer?
Yes. With the right integrations it’ll check an order’s status, open a support ticket, book an appointment or update a CRM record. Every action has limits, and a confirmation step wherever one’s warranted.
Related services
Want to watch it answer your own customers?
Send us a link to your help centre, or just a handful of documents. We’ll stand up a small working demo so you can judge it on your content, not ours.