Hire your AI support agent.
Answers customer requests from your real company knowledge: your documentation, your order history, your product data. It closes around 65% of standard requests on its own and hands the complex ones to your team with full context. First workflows go live within two weeks.
Talk to an expertWhat does your AI support agent get done in a normal working day?
Overnight queue triage
Reads every ticket and email that came in overnight, sorts by topic and urgency, and flags anything with a deadline.
Standard cases answered
Answers delivery status, order copies, and product questions directly from your ERP and documentation.
Reply drafts for the team
Prepares drafts for the trickier cases, with the order history and relevant manual passage attached.
Escalations with context
Hands complex complaints to the right colleague: case summarized, customer history and previous contacts included.
Follow-ups and promises kept
Chases open cases where a supplier, a workshop, or a colleague still owes an answer to the customer.
Daily summary
Posts a short summary to your Microsoft Teams channel: what was answered, what is still open, which topics kept coming up today.
The queue never piles up. Your team handles the cases that need judgment.
Every customer gets a correct answer on the same day
- Requests sorted and researched the moment they arrive
- Standard cases answered from your own systems, not from guesswork
- Complex cases reach a colleague already prepared
The same service week, with and without an AI employee.
Today
- The shared inbox is full before the first coffee is finished
- The same five questions get answered by hand every single day
- Answers depend on who picks up the ticket and what they remember
- Colleagues search three systems for one delivery date
- Complex cases get passed on without any context attached
With your AI support agent
- Every request is sorted and researched within minutes of arriving
- Recurring questions are answered directly from your documentation
- Every reply follows the same approved wording and your rules
- Order data, history, and manual are pulled together automatically
- Escalations arrive summarized, with everything already checked
Your AI support agent is built with what your company actually knows: your product documentation, your order and delivery data, your warranty rules, and the replies your team has already approved. It answers the way your best service colleague answers, not the way a generic chatbot guesses.
- Answers only from your own sources, never from invented knowledge
- Follows your escalation rules and response time commitments
- Writes in your tone of voice, with your standard wording
- Says nothing when the facts are missing, and escalates instead
Every service team works differently. What could your AI support agent take over from day one?
Ticket Triage
Sorts tickets in Zendesk, Freshdesk, or Jira Service Management and emails in the shared mailbox by topic, urgency, and responsible team.
Answers From Your Docs
Pulls facts from your manuals, price lists, and product data instead of inventing them.
Order Status Replies
Looks up delivery dates, shipments, and order details in your ERP and answers directly.
Reply Drafting
Writes ready-to-send drafts in your tone of voice, so your team only reviews and releases.
Standard Case Closing
Finishes defined routine requests end to end, within the rules you set.
Context Handover
Escalates complex cases with a summary, customer history, and everything already checked.
Duplicate Detection
Recognizes follow-ups and duplicates and merges them into the existing case.
Spare Part Lookup
Finds the right part number from model, serial number, or an old order.
Multilingual Replies
Answers international customers in their language, with your own source of truth behind it.
Deadline Tracking
Watches response times and warranty deadlines and warns before anything is missed.
Knowledge Gaps
Reports which questions your documentation cannot answer yet, so the gaps get closed.
Service Reporting
Shows which topics drive your ticket volume and where the recurring cause sits.
And many more. We build AI employees for whatever your service team needs.
Frequently asked questions
Everything you need to know about your AI support agent.
It runs the service routine from request to reply. It reads incoming tickets and emails, sorts them by topic and urgency, pulls the facts from your documentation, order history, and product data, and writes the reply. Standard cases like delivery status, spare part numbers, invoice copies, or opening hours it closes on its own. Complex cases go to a colleague, already researched and summarized.
It only answers from your own sources: your manuals, price lists, order data, and previously approved replies. It does not use general internet knowledge. When the sources do not cover a case, it does not guess, it escalates. You decide which topics it may send out on its own and which ones a person releases. In the first weeks a colleague typically checks every reply before anything runs unsupervised.
Yes. Superkind works on the systems you already run: Zendesk, Freshdesk or Jira Service Management, shared mailboxes in Outlook, your ERP, your CRM, and your knowledge base. Tickets stay where they are, the history stays complete, and your team keeps working in the tool they know. No new platform, no data migration, no parallel system.
You decide. Many teams start with drafts only: the AI employee prepares the reply, a colleague hits send. Later you can let it close defined standard cases directly, in your tone of voice and with your signature. Whichever way you set it up, every reply is logged and traceable, and every customer can still reach a person.
The first workflows typically go live within two weeks. We start with the highest-volume request types, usually delivery status, order copies, and standard product questions, and expand step by step once the quality is proven in daily use. You do not need an IT project: we build on your existing systems and your existing documentation.
A fraction of a full-time hire, priced per use case. For comparison: one customer service role costs 40,000 to 55,000 € in fully loaded cost per year depending on region, plus helpdesk licences of 15 to 50 € per user per month. The AI employee scales with ticket volume instead of headcount. Peak seasons no longer need temporary staff, and you only expand what demonstrably pays off.