Zukko.AI for IT support
The AI employee closes repetitive tier-1 requests and escalates only what actually needs an engineer.
SMB launch — from 2 hours. A demo on your own real channels.
What does AI do on the first line of IT support?
AI IT support is an AI employee that takes a request in Telegram, Instagram or by phone, finds the answer in your knowledge base and walks the user through the steps to a fix. Access, passwords, payments, ticket status, device resets — it closes those itself, around the clock. The second line only gets what needs a person.
Tier 1 drowns in repeats: "how do I reset my password", "why is the internet down", "where is my ticket". At night and on weekends the request simply waits until morning.
How does the AI employee resolve a ticket without an operator?
Zukko.AI reads your knowledge base, recognises the intent behind a request and answers in the customer's language, escalating hard cases to an engineer together with the chat history and the data collected.
First-line support looks the same almost everywhere: most requests repeat — access, passwords, payments, ticket status, "the internet is down". An operator spends the shift on them and never reaches the hard cases. The Zukko.AI employee takes that stream: it receives the request in Telegram, Instagram, on the website or by phone, recognises the intent, finds the right section of your knowledge base and answers in the customer's language — Russian, Uzbek or English. When a fix needs data from your systems, it pulls that through an integration and walks the person through the steps instead of sending a link to an article. When a case falls outside the rules, the AI does not guess: it collects the chat history and hands the ticket to a second-line engineer with the context ready. Answers stay inside your knowledge base, so nothing is invented. SMB launch takes from 2 hours, an enterprise setup up to 30 days.
What changes on the first line after launch?
Benchmarks for this scenario — we confirm exact numbers in a demo on your own data.
How is AI support different from a scripted bot and a ticketing tool?
| What happens to a request | Scripted bot and ticketing | Zukko.AI employee |
|---|---|---|
| A routine question at night | Waits in the queue until morning | Handled and resolved right away, any hour |
| Answer by the playbook | A link to a knowledge-base article | Step-by-step guidance in the request's language |
| A non-standard case | Dead end or the menu again | Escalation to an engineer with the chat history |
| Language of the request | One interface language | Russian, Uzbek, English |
| Channels | Separate windows and mailboxes | Telegram, Instagram, website and phone in one queue |
The comparison is by category of tool, not by specific products.
Run the scenario on your own channels
We will show how AI closes inquiries in your niche — on your real conversations.
Frequently asked questions
What does the AI close on the first line by itself?
Repetitive requests: password resets and access, ticket and payment status, device setup by the manual, working hours and service terms. When a scenario needs data from your systems, the AI employee pulls it through an integration and drives the case to a resolution instead of quoting an article.
How does the AI know when to call an engineer?
You define the escalation rules: a topic outside the knowledge base, a repeated failure, outage risk, an explicit request to speak with a person, the tone of the conversation. When one triggers, the AI does not guess — it hands the ticket to the second line with the history, the collected details and the intent tag.
Where do the answers come from — can the AI invent them?
The sources are your knowledge base, your service rules and the data of connected systems. The AI employee answers within those boundaries and hands over anything it cannot support. Wording, forbidden topics and tone are configured before launch, so the behaviour stays predictable.
Which languages does the support speak?
Russian, Uzbek and English, including a switch of language inside one conversation. Voice scenarios run on our own STT and TTS, so the customer speaks naturally, in a live voice, instead of adapting to the system. Uzbek is supported in both Latin and Cyrillic script, in chat and on calls alike.
Which channels connect to the first line?
Telegram, Instagram Direct and comments, WhatsApp, website chat, email and telephony, inbound and outbound calls included. Requests from every channel land in one queue with the customer history and intent tags attached, so an engineer never has to rebuild the context from several windows by hand.
How long does the launch take and what do you need from us?
For SMB — from 2 hours: we connect the channels, load the knowledge base and set the escalation rules. For an enterprise setup with integrations and security requirements — up to 30 days. We need channel access, up-to-date manuals and a process owner on the support side.
Digitize your first line of support
Launch an AI employee on your channels and start replying to customers the same second — 24/7.
SMB launch — from 2 hours. No lost inquiries.