AI Tickets is a SaaS help desk that turns every call, chat, e-mail and web form into a ticket with the whole conversation and the customer identified on it. The AI answers from your docs and knowledge base when it is sure enough; below the score you set, the ticket waits for a person in Manual review and nothing is guessed.
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7 days free · per company, never per seat · nothing to install


One queue
Billing questions, onboarding help and bug reports share one queue, each ticket showing its arrival time, the asker, the department, the channel and the priority.
Easy setupSet up everything just by talking to Lisa AISee how ›You“Lisa, how many tickets wait in Manual review, and which is the oldest?”
Lisa“Three tickets wait in Manual review; the oldest is a question about single sign-on, open since this morning.”
You talk. Lisa sets it up. Applied only on your yes.
How Software & SaaS use it
A customer writes that the API returns an error after the last release; the ticket opens with his company and earlier tickets.
A how-to question about exporting reports is answered by the AI from your help articles, and the customer rates the answer.
A billing question in the chat at night gets the promise of a reply within four working hours from the billing department.
REAL AI - the whole Front Office is AI, not old software with an AI button.
What’s included
Add it to any contact channel — AI Phone, AI Webchat, AI E-mail or AI Web Forms — or get it inside a solution · See pricing › · Per company, never per seat.
Everything AI Tickets does, for every business ›
Works withAI PhoneAI WebchatAI E-mailAI Web FormsAI Returns & Warranty
What it does
Support for a software product arrives across channels at once: the phone, the live chat on your site, e-mail and web forms. AI Tickets is the ticketing system that keeps one list for all of them, and its AI agents answer what your docs already cover.
Calls, chats, e-mails and web forms open tickets in the same queue, each marked with the door it came through and its priority.
His company, his reference, the product area he named and his earlier tickets appear on the ticket before anyone reads a word, so the engineer answers without leaving it.
When its score reaches your threshold, the AI replies from your knowledge base by e-mail, or back in the chat while the user is still there.
Below the score you set, the ticket waits in Manual review for a support engineer, and the AI sends nothing.
Instead of canned responses, the AI drafts the answer on a held ticket from the conversation and your instructions, typed or dictated; a person chooses who signs and sends it.
A second question from the same call, chat or mail thread lands on the ticket it opened, so duplicates do not pile up.
Moments it covers
Ticket volume in a software company comes in waves, and response times are the first thing to slip; these are the moments a small support team leans on the AI the most.
The same how-to question arrives again and again after a release; the AI answers each from the updated docs, and if they miss it, the held repeats become a knowledge gap.
A customer asks why the invoice changed; the ticket goes to the billing department, with its own reply-time promise and its own signature.
A user in another time zone reports a bug at night; the ticket opens with the conversation, and the customer is told when to expect the reply.
A customer who stops answering does not leave a ticket open forever: it closes by itself after the number of days you set.
Before a ticket
Many tickets in the help desk SaaS teams run are a question the user could settle in a minute with the right step; AI Tickets settles those first, on the phone and in the chat.
You write what the AI must ask, such as which plan or which integration is affected, and only the customer's own answer settles it.
Signing out and in again or reconnecting the integration: the steps a user must have done before a ticket, set per department.
The steps go to the address the customer gave, with your own help pages and videos, so the fix stays in writing.
A customer with an open case hears it quoted, no second ticket opens, and the AI never claims a ticket exists before its number does.
Compared
Help desks differ most in what they leave to people. Here are three ways SaaS teams handle customer service for a software product, side by side.
| What a support team needs | A shared support inbox | Classic help desk software | AI Tickets |
|---|---|---|---|
| Ticket management for a small team | Stars and folders | Queues, views and macros to set up | Three selectors and two buttons,: with a short learning curve |
| Calls, chats, mail and forms in one list | Mail only | Mail and forms; calls in another tool | All four open tickets,: each marked with its channel |
| The answer to a how-to question | Typed by a person | A macro picked by a person | Written by the AI from your docs,: sent when its score is high enough |
| A question nobody can answer | Lost in a thread | Escalated by hand | Held in Manual review,: then listed as a knowledge gap |
| A reply-time promise | None | A rule to configure | Told to the customer at the open,: marked in the list when missed |
| Learning from your engineers | Nothing kept | Articles written separately | Answers sent to the knowledge,: reviewed before the AI uses them |
Response time
Customer experience in SaaS support comes down to waiting: how long, and whether anyone said so. AI Tickets keeps the clock for each department, without an SLA management project of its own.
Billing, technical support and sales each promise a reply within a number of working hours, hours or working days; four working hours is the default.
The AI tells the customer when to expect the reply from the department's own hours, and the confirmation e-mail repeats it with the ticket number.
A ticket past its promise is marked in the list and the person holding it is told, so no request ages quietly the way it would in a shared inbox.
The median time to the answer over 30 days sits beside what the AI answered alone this week, and a month of answered tickets exports as a CSV file.
Set-up
Your website, help center and files become the knowledge base the AI answers tickets from, with nothing to configure for a week.
AI Phone, AI Webchat, AI E-mail or AI Web Forms: every channel you use opens tickets in the same list.
Who answers in each department, how sure the AI must be, the reply-time promise and the signature with your logo.
Run it on your own customers during the 7-day free trial, with no credit card, and read every answer before you decide.
Questions & answers
Software that collects what your customers ask into one list of tickets, so nothing is lost and every request gets an answer. AI Tickets opens a ticket from a phone call, a chat, an e-mail or a web form, and the AI answers it from your knowledge base, so a small SaaS customer support team works like a full department.
Good SaaS help desk software gives each request a number, a state, an owner and a promise, and keeps the whole conversation on it. AI Tickets adds the channel it came from, the customer identified with his earlier tickets, and an AI that answers when it is sure enough.
Yes. Per department you choose who answers: the AI agent alone, the AI proposing and a person sending, or one person. Alone, the AI replies from your knowledge base whenever its score reaches the threshold you set; below it, the ticket goes to Manual review.
No. The AI takes the repetitive tasks, answering the how-to questions your docs already cover, and holds what it is unsure about for a person. Complex issues, refunds and decisions stay with your people, who see the whole conversation when they pick a ticket up.
Yes. The same AI answers your phone; when a caller needs a follow-up it opens the ticket, and the transcript lands on it a minute later with Listen for the recording. Chat, e-mail and web form tickets sit in the same list.
In this AI ticketing system for SaaS, the AI reads the department and the priority from the customer's own words. Hand a ticket to a colleague with one selector, merge two tickets about the same thing, and let each person see only the tickets of his own departments.
Each department sets a reply-time promise, four working hours by default. The AI tells the customer when to expect the reply from the department's hours, the confirmation e-mail says it too, and a ticket past the promise is marked in the list.
The AI answers what your docs cover as soon as the ticket opens, so only the rest waits for a person. Each department keeps its reply-time promise, the customer is told when to expect the reply, and the page shows the median time to the answer over 30 days, your first response time at a glance.
A help desk answers your customers' questions and problems with the product; a service desk, in IT service management, also runs internal requests, changes and assets. AI Tickets is a customer help desk: it opens, answers and routes tickets from your users across channels, without the change and asset modules of an IT suite.
After a person answers, the page asks whether the answer is for this customer only or for the knowledge. Answers sent to the knowledge wait in Auto-Retraining for your review, and the questions nobody could answer gather in the Knowledge gaps tab.
Yes. On each department you write what the AI must ask and what must have been tried, and it handles that first on the phone and in the chat, sending the troubleshooting steps by e-mail with your own videos and pages.
Per company, never per seat, so every support engineer and manager works in it without counting logins. The current plans are on the pricing page, and the 7-day free trial of the Front Office needs no credit card.
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