Chatbots
Intelligent chat assistants grounded in your own content and connected to your systems — so answers are accurate, on-brand, and lead somewhere useful instead of a dead end.
Why most chatbots fail
The reputation problem comes from bots that pattern-match a keyword, return the wrong article and then loop. Users are not resistant to chat — they are resistant to wasting ninety seconds before finding the contact link they wanted in the first place.
We build assistants that retrieve from your actual content, cite where an answer came from, admit when they do not know, and hand over to a person with the conversation attached. The measure of success is resolved conversations and captured intent, not containment rate.
Answers retrieved from your documentation, policies and product data — with a source behind each one.
Escalation to a human with the full transcript, so nobody is asked to repeat themselves.
Order lookups, bookings, quotes and CRM capture handled inside the conversation.
Resolution rate, escalation reasons and unanswered questions reported and used to improve it.
What we build
Four assistant types, each with a different job and a different definition of success.
A guide that helps visitors find the right product, compare options, answer pre-sales questions and reach the next step — trained on your site, catalogue and documentation.
First-line support that genuinely resolves: order status, account questions, troubleshooting steps and policy answers, escalating to your team with full context when it should.
Assistants that qualify interest conversationally rather than through a seven-field form, book meetings against live calendar availability and write everything into the CRM.
A Slack or Teams assistant for the questions your ops, HR and IT teams answer twenty times a week — grounded in internal documentation and aware of who is asking.
Quality standards
A chatbot that invents an answer costs more than no chatbot at all. These are the constraints we build in.
Responses retrieved from your content, with citations available.
Handover always available, with the transcript attached.
Streamed replies so the conversation never feels stalled.
Post-launch review of real conversations and gap fixing.
Engagement models
Start with one channel and one job, then widen once the numbers are in.
Best for teams who want an accurate, on-brand assistant answering visitors within weeks.
from $349 /month
One channel, grounded in your content, live in weeks.
For businesses that need conversations to end in a completed action, not a link to a contact form.
from $749 /month
An assistant wired into your systems that resolves rather than deflects.
For teams treating the assistant as a product — measured, tuned and expanded every month.
from $1,190 /month
Ongoing tuning, expansion and content improvement.
We also take over existing assistants — auditing real transcripts, fixing the retrieval layer, redesigning escalation and reporting on what actually changed.
How we work
Launched in weeks, then improved with evidence from real conversations.
We agree what the assistant is for, what it must never do, and how success will be measured before design starts.
Your documentation, policies and product data indexed and structured so retrieval returns the right passage, not a vague match.
Conversation design, brand voice, system integrations and escalation rules built and tested against real questions.
Live behind analytics, with unanswered questions and escalation reasons reviewed weekly and fixed.
Outcomes
What clients see once conversations are handled properly rather than deflected.
Every visitor answered immediately, including outside working hours and across time zones.
Repetitive questions resolved in the conversation so your team handles the cases that need them.
Conversational qualification captures intent that a static contact form loses entirely.
A record of what people actually ask — the best product and content roadmap input you will get.
One assistant answering in the languages your customers use, without duplicating content.
Everyone gets the current policy, not whichever version the last person memorised.
FAQ
Still unsure? Send us a note — we reply personally.
Off-the-shelf builders are good at scripted flows and weak at two things that decide success: retrieval quality over your real content, and doing something useful in your systems. We build the retrieval layer properly and connect the assistant to your CRM, ticketing and order systems so a conversation can end in a completed action rather than a link.
It is constrained to answer from retrieved content and is instructed to say it does not know and offer handover rather than improvise. Answers can carry citations back to source, and every unanswered question is logged so gaps get filled with real content instead of guesswork.
Whatever you already have — website pages, help centre articles, PDFs, policy documents, product data and past support tickets. Part of our work is structuring that material so retrieval returns the right passage; you do not need to write a knowledge base from scratch first.
Yes, and it should. Handover can trigger on user request, low confidence, sentiment, or specific topics you flag as human-only. The full transcript and everything gathered goes with it, so the customer never has to start again.
Website widget, in-app, WhatsApp, Facebook Messenger, Instagram, Slack, Microsoft Teams and email. The same knowledge base and integrations serve every channel, so behaviour stays consistent wherever the conversation happens.
A grounded website assistant typically goes live in about two weeks. Adding system integrations for order lookups, bookings or account actions usually takes another two to four depending on the systems involved.
Resolution rate, escalation rate and reasons, unanswered questions, conversation-to-lead conversion and satisfaction where you collect it. We deliberately do not optimise for containment — keeping someone away from your team is not the same as helping them.
Send us your site and your support inbox. We will show you what an assistant grounded in your own content could resolve.
