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AI helpdesk for businesses.
Servicedesk ticket triage and IT knowledge base from one platform.
IT helpdesks are often a bottleneck in mid-sized DACH companies. Many tickets are recurring standard requests (password reset, VPN setup, printer problems, software licences). Classic ticket systems are routing tools: they sort tickets but don't resolve them. IT staff spend a lot of time on standard answers instead of real problems.
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Mid-sized DACH companies have a structural helpdesk problem in 2026. IT and HR helpdesks receive a steady flow of employee requests. Classic helpdesk tools are workflow routing platforms with a ticket system, status tracking and SLA management, but they generate no answers. The result: recurring standard requests are answered manually every time. Password reset tickets, VPN setup requests, software license activations, printer configurations, onboarding questions for new employees. The AI helpdesk approach flips this: the AI answers standard requests autonomously from the IT knowledge base, escalates complex tickets to IT staff with a summary of the context and shows open questions as knowledge gaps that the team answers once.
rinqo's AI helpdesk connects an AI agent with your IT knowledge base. Employees submit requests via the Personal Agent, the web chat or email to helpdesk@company.com. The AI checks the IT knowledge base (from PDF uploads and imported pages of your IT documentation), generates an answer and hands the case to your ticket system via webhook. If it can't resolve a request, it escalates to IT staff, with a summary and a proposed solution path. Servers in Germany.
Contents
Why rinqo?
The AI answers standard requests itself
AI answers password reset, VPN setup, printer configuration, software license questions from your IT knowledge base. Employees get answers without waiting on a ticket. IT staff relieved from recurring standard tickets.
Multi-channel helpdesk input
Personal Agent, web chat, email, employees choose their preferred channel. One central knowledge base serves all channels. Handoffs go via webhook to your existing system (Jira / Zendesk / ServiceNow); a direct integration is available too.
Escalation with context instead of ticket stub
On unsolvable requests: AI summarizes request in 2-3 sentences, suggests solution path, escalates to IT staff.
Open questions become knowledge
If the AI finds no answer, the question appears as a knowledge gap. IT answers it once and approves it, and the next time a similar case comes up the AI answers itself.
GDPR + Hetzner DE instead of US helpdesk cloud
Many helpdesk clouds host primarily in the US. rinqo: servers in Germany, DPA on registration, processing in the EU for everything rinqo does with internal employee data.
Integration with existing ticket system
rinqo doesn't replace Jira / Zendesk / ServiceNow, but adds an AI layer on top. Tickets continue to be managed in your system, AI handles standard requests upstream. Connected via webhook.
Before. After.
Classic helpdesk tool: workflow routing + ticket system + SLA management, without AI answer layer. IT still handles standard tickets by hand. Classic helpdesk tools usually charge per seat, plus add-on modules.
From Germany, servers in Germany: AI answer layer on your existing helpdesk tool. Multiple channels (Personal Agent / Web / Email), answers from the IT knowledge base, open questions suggested for company knowledge, escalation with context. Your ticket system stays unchanged.
Where classic helpdesk tools fail, the standard request trap
In mid-sized DACH companies many IT tickets repeat. Typical standard requests: password reset, VPN setup, printer problems, new software licence, Outlook configuration, mobile device onboarding, calendar permissions, file access rights, mailbox size increase, software update problems. Every ticket requires an IT specialist to read the request, search the internal knowledge base (often scattered across Confluence / SharePoint / mail folders), write an answer and close the ticket. With many tickets a month, this adds up to IT hours that are missing for real problems. A classic helpdesk tool doesn't solve that, it only routes.
AI helpdesk architecture, how rinqo solves it
Over your existing helpdesk tool, rinqo adds an AI answer layer. The flow: employees submit requests in the Personal Agent, the web chat or by email to helpdesk@company.com. The AI checks the IT knowledge base (from PDF uploads and imported pages of your IT documentation). Three stages. Stage 1 (Standard): AI generates an answer from the knowledge base, as a draft for approval or directly, and hands the case to your system (Jira / Zendesk / ServiceNow) via webhook. Stage 2 (Complex): AI summarizes the request in 2-3 sentences, suggests a solution path, escalates to IT staff with request context. Stage 3 (Security-relevant): direct escalation to the IT lead without an AI answer, triggered by stored keywords (e.g. on suspicious login attempts, suspected phishing email).
Knowledge gaps, how the IT knowledge base grows
If the AI finds no answer to a request, rinqo shows the question as a knowledge gap. IT answers it once, checks the answer and approves it. Personal details don't belong in the answer, only the solution. The next time a similar case comes up, the AI answers itself. The effect: IT staff are relieved of recurring standard tickets and have more time for complex problems and IT projects.
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Founder, rinqo
Founder of rinqo. Builds a company memory where an organisation's knowledge comes together and stays available, and the AI agents that work from it: on the phone, in the inbox, in chat, in marketing and in further roles. Writes here about bringing AI into companies, about data protection, and about what holds up in daily operation. Developed in Germany, processed in the EU, no US providers.
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