---
title: Det du behöver veta om AI-märkning av kundärenden
description: AI tagging (or AI categorization) is the process where every customer case is automatically tagged by contact reason, topic and sentiment.
image: https://info.indicateme.se/hubfs/reklambild-tva-kvinnor-pratar.webp
---

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# What you need to know about AI tagging of customer conversations

![Linnéa Melin](https://app.hubspot.com/settings/avatar/d41d8cd98f00b204e9800998ecf8427e)

October 1, 2026

In short: AI tagging (or AI categorization) is the process where every customer conversation is automatically tagged by contact reason, topic and sentiment, without anyone manually reading and sorting it. It's the foundation that makes it possible to analyze customer insights at scale instead of call by call.

---

##### **What is AI tagging of customer cases?**

AI tagging means every interaction with a customer, whether it's a call, an email, or a chat, is automatically categorized by why the customer reached out, what the interaction was about, and how the customer seemed to experience it. Instead of an agent manually tagging the case after resolving it, categorization happens the moment the interaction ends.

---

##### **Why it matters**

Without consistent categorization, contact reason analysis, quality assurance and Ask Me become harder to trust, because the underlying data depends on how different individuals happened to tag similar cases. AI tagging delivers consistent categorization regardless of who handled the case or which day it came in, which makes it possible to compare volumes and patterns over time in a way that actually holds up.

---

##### **How it works, step by step**

1. **The interaction is captured.** Calls, chat, email, chatbots and survey responses connect to the platform automatically, regardless of channel.
2. **The AI categorizes it.** Every interaction is tagged by contact reason, topic and sentiment based on its content, not on what an agent managed to note down.
3. **Patterns become visible.** Categorization makes it possible to see which contact reasons are increasing, which topics are new, and where recurring cases are emerging.
4. **The data feeds forward.** Categorized data becomes the foundation for Ask Me, dashboards and AI Buddy, with no manual post-processing.

---

##### **Hear how Lyreco gathers their customer conversations in the Indicate me platform**

##### **![pia-lyreco-rounded](https://info.indicateme.se/hs-fs/hubfs/pia-lyreco-rounded.webp?width=245&height=245&name=pia-lyreco-rounded.webp)**

> "We're moving customer service from being a reactive  
> problem-solving centre to becoming a proactive heart of the business"

*- Pia Helle Gilinsky-Gundersen, Head of Customer and Sales Care, Lyreco Norge*

[Watch the full interview](https://info.indicateme.se/en/insights/lyreco-norway-gut-feeling-to-data-driven?hsLang=en)

---

##### **FAQ**

**Is AI tagging the same as transcription?**  
No. Transcription turns speech into text. AI tagging is the step after, where the text is categorized by contact reason, topic and sentiment.

**Do we need to define the categories ourselves?**  
No, the platform comes with a base structure that can be adapted to your business, so you don't need to build the taxonomy from scratch.

**Does AI tagging replace the need for human review entirely?**  
No. The AI handles volume and consistency, while people still decide what the organization should do with what the categorization reveals.

**Does it work across all channels?**  
Yes, calls, chat, email and survey responses can be categorized in the same flow, which is what makes it possible to compare contact reasons across channels.

---

##### Want to see what your own customer data looks like categorized?

[Explore the platform](https://indicateme.se/en/platform/ai-insights)

 

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