AI customer support that answers from your company, not from the internet.
Most AI support tools can write. Very few know whether what they wrote is true for your products, your policies and this particular customer. QlintAI is built for the second problem.
AI customer support software is usually sold on speed. Speed is easy: a model can produce a plausible paragraph in a second. The hard part is being right — knowing that the warranty is 24 months and not 12, that this customer is on the older hardware revision, and that the workaround your team documented last spring still applies.
QlintAI approaches support as a knowledge problem rather than a writing problem. It reads the incoming email, decides what the case needs from a human, retrieves the relevant passages from your own documentation and past conversations, and prepares an answer with those sources attached. A person reviews it, edits anything they would say differently, and sends.
Nothing is sent automatically. That is a deliberate design choice, not a limitation we plan to remove: the value of an assistant collapses the moment your team stops trusting what it produces.
Triage that reflects real priorities
Every message is classified by what it needs — a reply, a decision, a task, a follow-up, or nothing — with urgency and importance judged separately. A polite email about a production outage should not sit behind an angry one about an invoice.
Answers with visible sources
Each draft lists the questions it is answering and the company material it used. Verifying a claim takes seconds instead of a fresh round of research.
Consistency across the team
When answers come from the same approved knowledge, it stops mattering who picks up the case. New colleagues answer at the standard your experienced people set.
Improvement you can see
Corrections are the training signal. When someone rewrites a paragraph, that is how your organisation wanted the answer, and future drafts reflect it.
What to ask any AI customer support vendor.
- Where does the answer come from, and can I see the source?
- What happens when the system does not know? Does it say so?
- Can it send email without a person approving it?
- Is my company's knowledge used to answer for anyone else?
- Does it work in the mailbox we already use, or does it need a new inbox?
- How does it get better — and is that improvement inspectable?
Answers before you ask us.
Judge it on your own cases.
Connect one inbox, add the documents you already have, and compare the prepared answers with what your team would have written.