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neooutput

An AI triage agent that sorts and prepares customer tickets automatically

Support teams lose a lot of time before anyone starts solving a problem: reading the request, picking a category, setting priority, forwarding it. During peaks, urgent cases get stuck behind routine questions. An AI agent does this groundwork in seconds. neooutput builds triage agents that match your categories and workflows and connects them to shared inboxes or helpdesks such as Zendesk, Freshdesk or Jira Service Management.

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Deutsche Version

In short

An AI agent for email and ticket triage reads incoming customer requests, identifies topic, urgency and language, routes each one to the right team and can prepare a draft reply. The AI code engineers at neooutput build these agents and connect them to your helpdesk. In the setup we recommend, a person approves the final reply.

Your benefits

Faster first response

Urgent requests are flagged immediately instead of sitting at the bottom of the queue.

Right team, first time

Fewer handoffs between teams, because topic and product are detected automatically.

Drafts grounded in your content

Combined with kalAIDoCreate, draft replies draw on your own help articles and policies.

Data minimization

Textwash Pro can remove names, addresses and customer numbers before a language model sees the request.

What a triage agent actually does

For each incoming message a typical agent runs several steps: it detects the language, assigns a category, estimates urgency, extracts details such as order or contract numbers and fills in the matching helpdesk fields. Optionally it summarizes long threads and suggests a reply.

The categories and rules have to fit your service. We therefore start by analyzing anonymized sample requests and derive a classification scheme your team understands and can maintain.

When the agent is unsure, it says so rather than guessing. Those tickets go to a separate queue for manual review.

This is particularly helpful for multilingual support. A request in French or Polish goes straight to the right team, along with a short English summary for colleagues who do not speak the language.

Keep a human in the loop

We recommend starting with the agent as an assistant: it sorts and prepares, and people review and reply. Only once accuracy for a category has been stable over a longer period does it make sense to fully automate simple cases such as order status requests.

When customers interact directly with an AI system, the EU AI Act requires that they are told so. Complaints, cancellations and legally sensitive matters should always get a human reply. We agree these rules with you and document them.

Delivery with neooutput

Our AI code engineers follow ISO 9001 and ISO 27001 certified processes, and 24/7 phone support is available in German and English.

Measure success with a few clear metrics, such as time to first response, share of correctly routed tickets and number of internal handoffs.

  1. In a free 15-minute intro call we discuss channels, volume, helpdesk and goals.
  2. We analyze anonymized sample requests and design categories, priority rules and routing.
  3. The agent first runs in shadow mode, making suggestions only while your team works as usual.
  4. Once accuracy has been reviewed, we switch on automation step by step for individual categories.

Frequently asked questions

Which helpdesks does it work with?

Any system with an API or webhooks, including Zendesk, Freshdesk and Jira Service Management. Plain shared inboxes can be connected too. We define the exact integration during the project.

Will the agent reply to customers on its own?

Only if you explicitly allow it for specific categories. We recommend starting with drafts that your team reviews and sends.

How is personal data handled?

We document data flows and processing agreements under the GDPR. Where it makes sense, Textwash Pro removes personal details before an external language model processes the request.