the hundredth question of the day
AI onlineAre your admins answering the same questions all day long?
The same questions.
No longer yours.
The AI answers from your business knowledge base: prices, schedule, rules, documents. Anything tricky it hands to a human with the full context.
3 days free on any plan. No card required.
the AI answers by the rules, it does not make things up
An exact answer instead of "let me check"
the work you hand to AI
AI customer support: the work the AI takes off your team
AI customer support takes the routine questions off your admins: the schedule, prices, rules, order statuses and documents. You hand the AI the stream of identical requests a person used to answer for the tenth time that day, instead of doing real work with guests and the hard cases.
The AI answers strictly from your business knowledge base: only what the rules actually contain, and it does not invent an answer when it does not know one. Anything hard, a refund or a conflict, it calls a human to solve and hands them the conversation with the gist ready, through a configurable delay with a soft or hard takeover.
For support, the Growth plan fits: an AI agent, the knowledge base, human handoff and your channels in one window. It pays for itself in the admin hours that stop going to the same question on a loop, because an off answer is fixed in half a minute by explaining it in your own words, with no developer and no ticket in a queue.
a question outside the rules
The hard case goes to a human, with the chat and the gist
why this happens
Why AI customer support used to annoy people and now takes the load off
The hundredth "what time do you close" of the day makes the business no better: it just eats an admin's day. But the customers are not to blame for asking the same thing, they genuinely need to know. So for years teams chose between live people stuck on routine and a button menu that annoyed more than it helped. Both are expensive: one in wages, the other in lost customers.
Button bots failed because they could not understand a question asked in plain words. But an unbounded neural network is dangerous the other way: it answers confidently even where it is inventing. So a working ai customer service bot is built on a business knowledge base: it answers only from what it knows, and in every other case honestly calls a human. That kind of boundary you can trust.
That boundary between "answer it myself" and "hand it over" is the main setting. A refund, a conflict, an unusual request: the AI does not solve those alone, it passes them to an employee with the context ready, so the person does not have to reread the chat from the top. The gist is already gathered: who, about what, what has been answered.
you spotted something off
A bad answer is fixed in 30 seconds
Explain what is wrong, and the AI updates the rule itself. No developer and no rewriting of instructions.
what changes
What changes when the AI takes the routine questions
Admins stop being a living FAQ. The schedule, prices, rules and statuses the AI answers instantly and at any hour, so an ai help desk covers the first line while people get the conversations that truly need empathy and authority. The load on a shift drops noticeably.
The quality of answers goes up, not down: the AI never "forgot", "mixed it up" or "is new and not up to speed yet". Customers get answers by the same rules every time, and those rules update in minutes off a shared ai knowledge base, not through an all-hands meeting.
Support automation stops being a quarter-long project: you spot an off answer, explain the problem in your own words, and the AI rewrites its own rule. No developer and no ticket in a queue. The knowledge lives in the system and does not go stale.
how much it costs
$179 /mo
The Growth plan: An AI agent, the knowledge base, human handoff, up to 3 channels and 300 dialogues a month. Pays for itself in the admin hours that stop going to the same question over and over.
No card required. All plans and the annual discount
what people ask before launching
Will the AI make up answers?
No. The scenario is built around the knowledge base, the rules and the handoff. If a question falls outside them, the AI is meant to pass it to a human.
Can we use it in medicine or education?
You can, but with careful setup: factual limits, a ban on dangerous advice, handoff to a specialist and separate safety rules.
How do we update the knowledge?
Through the settings and debugging: you add a rule or adjust an answer, then check the scenario on a test dialogue.
where to next
capability
Knowledge base
The business facts your AI answers from
for your industry
similar situations
See also: Case: ABClinic