Real resolution, not deflection
Answers drawn from your documentation and systems, so common questions are genuinely resolved rather than redirected into a help centre the customer has already searched.
Service
Conversational AI & Copilots for Business
Assistants that answer, instead of deflecting.
Everyone has met a bad support bot. It restates the question, offers three irrelevant articles, and hides the route to a human, and every one of those conversations costs more goodwill than the ticket it avoided.
A good one is the opposite: it answers from your actual documentation, says so when it does not know, and hands over cleanly with the context attached. Conversational AI at Zefract covers customer-facing assistants and internal copilots, grounded in your own knowledge and available on the channels your people already use.
Support Assistants
Customer-facing assistants that resolve rather than deflect, answering from your documentation and your systems so a common question is genuinely handled.
Ticket triage and routing behind the scenes, and multilingual support where your customers need it, often the quickest win, since it extends coverage without extending the rota.
Includes- Support chatbots
- FAQ automation
- Ticket triage
- Multilingual
Internal Copilots
The same technology pointed inward, which is frequently the faster payback. Knowledge assistants that answer from the handbook, the wiki and the policy documents nobody can find.
Onboarding is the clearest case: a new starter asks the assistant the questions they would otherwise interrupt three colleagues to ask, and gets a cited answer.
Includes- Knowledge assistants
- Document Q&A
- Onboarding bots
Grounded Responses
Every answer traced to a source, with the citation shown. Retrieval keeps the assistant tied to what your documentation actually says rather than to a plausible reconstruction of it.
Confidence is handled explicitly: below a threshold it says it does not know and offers a route to someone who does. Admitting uncertainty is what makes the rest of the answers usable.
Includes- RAG responses
- Source citations
- Confidence handling
Channels & Handoff
Available where the question was going to be asked anyway (the site, WhatsApp, or a voice interface) rather than in one widget on a page people have to find first.
Escalation carries the whole conversation with it, so nobody repeats themselves to a human. The route to a person is visible rather than buried, which is what stops the channel being resented.
Includes- Web & WhatsApp
- Voice interfaces
- Human handoff
- Escalation flows
Why it matters
A bot that guesses costs more than the tickets it deflects.
Confidently wrong is the worst failure mode a support channel can have. One invented answer about a refund policy or a delivery date produces a complaint, a correction, and a customer who will not trust the channel again, which is why grounding, citations and a clean escalation path matter more than conversational polish.
Here’s what a well-built assistant returns:
Answers you can check
Responses grounded in named sources with citations, and explicit handling of low confidence. An assistant that admits uncertainty is one people can safely rely on.
A clean handover to a human
Escalation with the full conversation attached, so nobody has to repeat themselves. The route to a person is visible rather than hidden, which is what stops the channel being resented.
Your team asks it too
The same grounding powers internal copilots: document Q&A and onboarding assistants that answer from the handbook nobody can find, which is often the faster payback of the two.
Available where people already are
Web, WhatsApp and voice rather than one widget on a page nobody visits. An assistant is only useful on the channel the question was going to be asked on anyway.
It gets better from real questions
Conversations are reviewed for what it got wrong, and the gaps feed back into the content it draws on, so the documentation improves alongside the assistant.
The measure of an assistant is not how human it sounds. It is whether the answer was right, whether you can see where it came from, and how quickly it got out of the way when it could not help.
Why Conversational AI & Copilots with Zefract
One team, one goal, nothing lost in the handoff.
The people building the assistant are the people who can also connect it to your systems, so it can look things up rather than only talk about them. You see the evaluation results, including the questions it gets wrong, before it goes anywhere near a customer.
Support queue growing faster than the team?
Start with an assistant scoping callFAQ
Frequently asked questions
Grounding, citations and explicit confidence handling. Responses are retrieved from your documentation rather than generated from general knowledge, every answer shows its source, and below a confidence threshold it says it does not know and offers a human. Confidently wrong is the failure mode that costs most, so it is the one designed against first.
Always, and visibly. Escalation carries the full conversation so nobody has to repeat themselves, and the route to a person is signposted rather than buried. Assistants that hide the exit are the reason people distrust the channel, and hiding it does not reduce contacts: it just makes them angrier.
The ones your customers already use: your site, WhatsApp, and voice interfaces where they fit. An assistant is only useful on the channel the question was going to be asked on anyway, so we start from where your contacts actually arrive rather than adding a widget and hoping.
Yes, and that is often the faster payback. The same grounding powers internal copilots: document Q&A over the handbook and the wiki, and onboarding assistants that answer the questions a new starter would otherwise interrupt three colleagues to ask. Lower risk, since the audience is internal.
Conversations are reviewed for what it got wrong and where it had to escalate, and those gaps feed back into the content it draws on. That usually improves your documentation as a side effect, since a question the assistant cannot answer is generally one your help centre does not answer either.
Next step
Ready when you have a brief.Or half of one.
Send whatever you have. You get scope, a timeline and a number back within three working days.
Prefer chat? We answer on WhatsApp too.