Zanus AI is AI for tech support at software companies, device makers, telecoms and manufacturers: it answers setup, compatibility and fault questions from your manuals on the phone, in the chat and by e-mail. It asks your diagnostic questions, opens the ticket or the return, and hands real faults to your engineers with the steps already tried.
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You talk. Lisa sets it up.
You“Route every call that mentions smoke or a burning smell to the on-call engineer.”
Lisa“A rule for the support line: a call that mentions smoke or a burning smell goes to the on-call engineer, at any hour. Apply?”
Any setting, in any module · applied only on your yes
Start with the one thing you need. Add more anytime by asking Lisa.
The whole Front Office › · All applications ›
Who reaches you
The first line
One knowledge base sits behind the support line, the chat and the inbox, so customer support across channels gives the same fix wherever a customer asks.
AI Phone picks up on the first ring with a technical support department that walks callers through set-up and first checks from your manuals, then routes them by product line or language.
AI Webchat answers by text or voice, opens the help page that explains the fix and shows the picture from your manual on request; a visitor who gave an address and leaves gets a chat email recap of the conversation.
AI E-mail reads every message sent to your support address, finds the customer and writes the reply from your documentation; each department decides whether Lisa sends alone or a person approves.
AI Tickets asks what your department requires first, the model, the version, what was tried, then opens the ticket and replies alone only when the AI is sure enough; a rating under each answer keeps customer satisfaction in view.
AI Returns & Warranty e-mails the troubleshooting before any unit ships, and a return the AI accepts waits as pending until your warranty team approves it.
AI Knowledge holds the manuals, release notes, known issues and firmware files used across every channel; a question nobody documented becomes a gap your team answers once.
How it works
Where the AI works on its own, where it hands over, and where your people stay in charge.
Customers describe the fault in natural language; this conversational AI understands them by meaning, and the generative AI behind it writes each answer only from the manuals and pages you approved.
On the support line each department is an AI agent with its own name, voice and pace, and your AI agents work as agentic AI inside your rules: tickets opened, callbacks booked, returns started.
Your human agents, the engineers and support staff on your payroll, take the complex faults, the warranty calls and every customer who asks for a person.
Reset steps, compatibility checks, firmware hand-outs and where-to-send-it questions are the repetitive tasks the AI takes, so engineers keep the faults that need them.
Each ticket shows the contact, the company and every earlier ticket from that customer, so the customer data from last month's case is in front of whoever answers next.
On calls your engineers take, AI Calls Teleprompter works as an AI copilot, putting the answer from your manuals on screen with its source while the customer talks.
A day at the desk
The hours when customer inquiries pile up at a first-line desk, and what happens to each one now.
Owners call about a blinking light after last night's update. Each one hears the reset steps from the new release notes, and the few the steps do not fix open tickets with the version noted.
An admin asks whether the app runs on an older tablet. The chat answers from your compatibility page and opens that page beside the answer, so the admin reads the source.
A controller shows a code missing from every manual. The AI says engineering must check it, opens a ticket with the code, the model and the steps tried, and the question joins the knowledge gaps.
A gateway still will not power on after the reset steps, and its owner asks to send it back. The return waits as pending with the serial number and the reported fault for the morning team.
Real screens
Real Zanus AI screens with demo data, framed for this page: the customer conversations, tickets and returns a product support desk opens every morning.






Weigh the options
How one customer problem travels through each way support teams at product companies usually staff the first line.
| What you need | Engineers on every call | An outsourced call center | A help center and a contact form | Zanus AI |
|---|---|---|---|---|
| A setup question at 9 PM | Waits for the morning | Read from a script | Self-service, if the article exists | Answered from your manual: on the phone, in the chat or by e-mail |
| A fault after an update | An engineer repeats the reset steps | A message passed to you | A form with no reply yet | The documented fix first: and a ticket with the version when it fails |
| An escalation to tier 2 | Notes typed from memory | A short summary of the call | The customer explains again | The steps already tried: on the ticket, with the transcript |
| A warranty return | A long thread of e-mails | Outside their scope | A returns form to fill in | Troubleshooting before any RMA: then pending until your team approves |
| A question nobody documented | Whoever knows answers | Guessed or forwarded | No article, no answer | No guess: checked with engineering: and logged as a gap to answer once |
Where a person decides
The AI takes the first line of customer interactions inside the limits you draw; these decisions stay with people.
A question with no written answer is never improvised. The customer hears that your engineering team will check, and the case opens as a ticket for a person.
Write a rule in AI Knowledge, for example that a call mentioning smoke or a burning smell goes to your on-call engineer, and AI Phone passes those callers to the person you named.
Whether a unit is covered and what a repair costs is your team's call. The AI collects the facts and writes the e-mails; a person approves or rejects every return.
In AI Tickets, autonomous resolution happens only where you allow it: each department sets how sure the AI must be before it replies alone, and below that score the ticket waits in Manual review.
Pages you mark internal answer your staff through the Team Assistant and stay out of everything a customer can reach: the website chat, the voice and the support line.
When a support mail asks to cancel an order or change a delivery address, the AI does not act on it: the thread goes to a person, with a copy to your escalation inbox.
Set up by talking
Lisa reads your website and help pages, names the topics she found and asks which products, versions and languages your desk supports.
Upload manuals, quick starts and known-issue lists as PDF, Word or text files, so the common questions get answers that carry their source.
Tell Lisa the model, the version and the steps that must be tried before a ticket, department by department; she shows each rule before and after.
Name the engineers for each product line with their hours, then start the 7-day free trial, no credit card, and read every call it answered.
By industryHardware & ElectronicsSoftware & SaaSTelecom & Internet ProvidersMedTechManufacturingE-commerceUtilitiesTravel AgenciesLaw FirmsAerospace & AviationAuto DealersAutomotive OEMs
Questions & answers
AI for tech support is AI customer support built for products: artificial intelligence that takes the first line, answers setup, compatibility and fault questions from your own documentation, asks the diagnostic questions your engineers would ask and opens a ticket or a return when the fix needs a person. Zanus AI does this on the support line, in the website chat and in the support inbox.
The best AI for tech support answers from your manuals and release notes rather than the open web, admits when the documentation is silent, and hands the case to an engineer with the steps already tried. Before buying any customer support platform, check three things: where its answers come from, what it does when unsure, and whether one customer record holds the case across email, chat and phone.
Give it your manuals, release notes, known issues and compatibility tables, then tell it what to ask before any fix: the model, the version, the error on screen. It answers what your documentation covers, files the rest as tickets with those answers attached, and your engineers spend the day on the faults that need them.
No. It takes the repeated first-line work, the reset steps, the compatibility checks and the where-do-I-send-it requests, so engineers stop retyping the same fix all day. Diagnosing a new fault, judging a warranty claim and calming a customer who wants a person stay with your human agents, the engineers and support staff you employ.
Yes. A caller who asks for an engineer is transferred, and your colleague hears who is calling and why before the call connects. In the chat, asking for a person turns the conversation into a ticket with every turn attached. When nobody is free, the AI takes a message and reads the callback number back.
A good AI support agent for documentation answers only from the knowledge you approve, and here a sentence your documentation does not support is held back. When nothing is written down, the customer hears that your engineering team must verify it and come back, and the question lands in a list your team answers once for every channel.
Yes. The support line, the chat and the inbox answer around the clock, each customer in their own language, and the chat alone speaks 40 of them. A device that fails at 11 PM gets the documented fix at 11 PM, or a ticket that tells the customer when to expect the answer, so your response times are stated, not hoped for.
With the first line of diagnosis already done. The ticket carries the customer, the product, the version, the error and each step the customer tried, plus the call transcript or the chat turn by turn. The engineer reads where the AI stopped and starts from there, closing issues faster than when the customer must repeat everything.
It prepares them and your team decides. The AI sends the troubleshooting steps first, then accepts a return that waits as pending, and nothing ships until a person approves. Once approved, the customer gets an e-mail with the RMA number, where that kind of product goes back and what to pack with it.
It is built for product support: the customers who contact a software company, a device maker, a telecom or a manufacturer about something they bought. Your staff can still ask the AI Team Assistant about internal procedures, while the support line, chat and inbox serve your customers.
It is AI customer service with the product in mind. A general customer service bot answers about orders and opening hours; AI for tech support also asks for the model and version, follows your troubleshooting steps, hands out firmware under your rules and opens tickets and returns with the steps already tried.
Yes, under the hand-out rule you give each file: freely, after the customer's order is verified, by ticket first, or never. The download link expires, and every file handed out is written on the record for your team to review.
Zanus AI is priced per company, never per seat or per engineer, so the whole support team shares one subscription. You choose the modules your desk needs and add more later; the plans are on the pricing page, and the Front Office trial runs 7 days with no credit card.
In 2 minutes the support line can take its first call. Lisa reads your website and help pages, you upload the manuals and release notes, and you tell her your departments, your diagnostic questions and who takes escalations. She shows each change before and after and applies it when you say yes.
Award-winning AI
REAL AI - the whole Front Office is AI, not old software with an AI button.
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