Ticket triage, in seconds instead of hours

Reads support requests, classifies them and sends them to the right person

Urgent requests stop queueing behind trivial ones

The most expensive person on your support team spends the first hour of the day reading requests to decide which are not for them.

What you get

It reaches whoever fixes it

The request is classified from its content and routed, with no person sorting by hand.

Urgent things surface

What completely blocks somebody is separated from what is annoying but can wait.

Repeat questions answer themselves

Questions with a known answer get it immediately, with the option to ask for a person.

You see what recurs

Requests grouped by cause show what deserves fixing permanently, rather than solving fifty times.

How it works

The flow, step by step

  1. 1. Intake

    Requests arrive by email, chat or form and land in the same place, in the same shape.

    • n8n

  2. 2. Classification

    A model reads the request and assigns category, urgency and, where possible, a likely cause.

    • GPT-4.1

  3. 3. The known answer

    If the question has a documented answer it goes out at once, with a clear route to a person.

    • PostgreSQL

  4. 4. Routing

    The rest reaches the right team with context already gathered — who, which system, since when.

    • Slack

  5. 5. What recurs

    Grouping by cause surfaces the problems worth removing rather than solving again.

    • PostgreSQL

Results

A 70-employee catering group with two event venues

Automatic classification of incoming messages and their routing runs in production, in another sector.

Automation workflows
125 63
WhatsApp errors per hour
15–30 0
Security findings
584 383
Weeks to production
— 6

Works with what you already run

  • n8n
  • PostgreSQL

Related solutions

Frequently asked questions

Does it answer clients by itself?
Only questions with a documented answer, and always with a clear route to a person. It does not invent an answer to close a request.
What happens when it classifies wrongly?
A wrong route is corrected in one click, and the correction feeds what the system knows. The cost of a mistake is a transfer, not a lost request.
Do we need a ticketing system?
Not necessarily. Plenty of small teams work from a shared inbox; we can build over it or give you a simple work queue.
Does it work for internal support, not just clients?
Yes, and the result usually shows sooner there, because the volume is more predictable.
How long does it take to set up?
Two to four weeks. In the first week it classifies alongside your people, so you see how often it errs before it is trusted.

How much of your team's day goes on sorting requests?

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