Chatbots that know your business
Not a generic bot. A chatbot trained on your documents and data, answering customers and staff accurately, citing its sources, and handing over to a human the moment it should.
- Grounded in your data
- Human handoff built in
- Answers with sources
Built on RAG, not guesswork
The difference between a chatbot people trust and one they avoid is where the answers come from. Ours come from you.
Trained on your documents
Product catalogues, policies, SOPs, price lists, past tickets. We ingest the sources you approve and nothing else.
Grounded with RAG
Retrieval-augmented generation means every answer is assembled from your actual content, retrieved at question time, not from the model's general memory.
Answers with sources
Responses can cite the document they came from, so your team and your customers can verify instead of taking the bot's word for it.
Honest about limits
When the answer is not in your data, the chatbot says so and hands over to a human. No confident guessing.
On your website, in your tools
One grounded knowledge base can serve every channel your customers and staff already use.
Your website
A branded chat widget that answers product, pricing, and policy questions around the clock and captures leads when your team is offline.
Internal tools
A chatbot inside your ERP, CRM, intranet, or helpdesk, so staff ask questions where they already work instead of digging through folders.
Support inbox & portals
First-line responses on your existing support channels, drafting or sending replies for routine questions and routing the rest.
People stay in the loop
A chatbot should absorb the routine volume, not trap customers in a loop. Handoff to your team is a first-class feature, designed with you before launch.
Escalation rules you define
Angry customer, big account, legal question, low confidence: you choose the triggers that send a conversation to a person immediately.
Context travels with the chat
Your team receives the full conversation, the customer's details, and what the bot already checked. Nobody asks the customer to repeat themselves.
The bot learns from handoffs
Escalated conversations show exactly where the chatbot fell short. We feed those cases back into its knowledge and tests, so coverage grows over time.
Five steps from documents to deployed
From your documents to a live, tested chatbot in weeks, with a fixed quote before we start.
- 01
Scope the questions
We analyse what customers and staff actually ask, and define what the chatbot should and should not handle.
- 02
Ingest your content
Approved documents and data are cleaned, chunked, and indexed into a vector database for retrieval.
- 03
Build and ground
The chatbot is built with RAG so answers come from your content, with tone and rules matched to your brand.
- 04
Test against real cases
We score it on real past questions before launch. Wrong or ungrounded answers get fixed, not shipped.
- 05
Launch and improve
Live on your channels with monitoring, handoff, and regular content refreshes as your business changes.
More ways we apply AI
AI development services
Every kind of AI system we build, in one place.
Learn moreAI agent development
When answering is not enough and the AI should act.
Learn moreAI workflow automation
Automate the processes behind the conversations.
Learn moreAI consulting
Workshop first if you are still weighing the options.
Learn moreChatbot development, answered
How is this different from the chatbots that frustrate customers?
Most frustrating bots are keyword menus or generic AI with no knowledge of your business. Ours are grounded in your own documents and data with RAG, answer with sources, admit when they do not know, and hand over to a human based on rules you set.
What data do you train the chatbot on?
Whatever you approve: product catalogues, policies, FAQs, manuals, SOPs, past support conversations. We index this content into a vector database the chatbot retrieves from. Your data is not used to train public models.
What happens when the chatbot cannot answer?
It says so and escalates to your team with the full conversation attached. Escalation triggers are configurable: topic, customer sentiment, account value, or the bot's own confidence.
Where can the chatbot run?
On your website as a chat widget, inside internal tools such as your ERP, CRM, or intranet, and on your existing support channels. The same grounded knowledge base can serve all of them.
How do we keep answers up to date?
The knowledge base is refreshed from your source documents, on a schedule or automatically when content changes. Update the price list and the chatbot's answers update with it.
How long does chatbot development take?
A chatbot grounded in your documents typically ships in 3 to 6 weeks, including content ingestion, testing against real questions, and handoff setup. You get a fixed quote after a free discovery session.
Give every question an instant answer
Book a free discovery session. Bring your documents and your most common questions, and we will show you exactly what a grounded chatbot can handle.
- Free discovery session
- NDA available
- Reply within one business day