--- title: 7 things to evaluate in AI tools for customer analysis description: Most AI tools for customer conversation analysis look the same on a sales page. The difference only shows up once you test them on your own data. image: https://info.indicateme.se/hubfs/kundberattelser-soMe.webp --- [Skip to main content](https://info.indicateme.se/en/insights/ai-tools-for-customer-analysis#main-content) [![indicate-me-logo-beet-vertical-1](https://info.indicateme.se/hubfs/indicate-me-logo-beet-vertical-1.svg) ![indicate-me-logo-beet-vertical-1](https://info.indicateme.se/hubfs/indicate-me-logo-beet-vertical-1.svg)](https://indicateme.se) - [Insights](https://info.indicateme.se/insights) - [Films & Webinars](https://info.indicateme.se/en/films-and-webinars) - [Customer Voices](https://info.indicateme.se/en/customer-voices) - Show submenu for translations EN - [Svenska](https://info.indicateme.se/insights/ai-verktyg-for-kundanalys) Open main navigation Close main navigation - [Insights](https://info.indicateme.se/insights) - [Films & Webinars](https://info.indicateme.se/en/films-and-webinars) - [Customer Voices](https://info.indicateme.se/en/customer-voices) - Show submenu for translations EN - English - [Svenska](https://info.indicateme.se/insights/ai-verktyg-for-kundanalys) - [Book a tour](https://info.indicateme.se/en/book-a-tour) [Book a tour](https://info.indicateme.se/en/book-a-tour?hsLang=en) # 7 things to evaluate in AI tools for customer analysis ![Linnéa Melin](https://app.hubspot.com/settings/avatar/d41d8cd98f00b204e9800998ecf8427e) September 30, 2026 In short: Most AI tools for customer conversation analysis look the same on a sales page. The difference only shows up once you test them on your own data. Here are seven things worth checking before you decide. ##### 1. Does it analyze all your data, or just a sample? Many tools base their insights on samples, a selection of calls listened to manually or picked at random. Ask specifically: does the analysis cover 100 percent of your customer conversations, or a sample? The difference determines whether you catch patterns that only show up at low volume. ##### 2. Is every answer traceable to its source? A tool that presents a conclusion without showing which conversations it's based on is hard to trust, and even harder to explain to leadership. Ask to see how an answer connects back to the actual customer conversations behind it. ##### 3. Is it built for more functions than customer service? Insights that stay within customer service create limited value. Ask whether product, marketing, and leadership can access the same underlying data without anyone having to rebuild the analysis for them from scratch. ##### 4. How fast does the first result show up? Time to first value tells you more about a tool than a long feature list. Ask for a concrete example of how long it took a comparable customer to see their first usable result. ##### 5. Can it connect to your existing systems? An insights layer on top of your existing tools, contact center, CRM, survey systems, is usually more realistic than replacing everything. Ask which integrations already exist out of the box. ##### 6. How is security and data storage handled? This should be a given, not a selling point. Where is the data stored, who has access, and does the vendor meet GDPR as standard rather than as an add-on? ##### 7. Are there references in your own industry? A concrete example from a similar organization outweighs any feature list. NTM Media used AI analysis to understand why certain customer calls dragged on, and the insights went straight to both editorial and IT. > ![lisa-karstensson-ntm-media-rounded](https://info.indicateme.se/hs-fs/hubfs/lisa-karstensson-ntm-media-rounded.webp?width=158&height=158&name=lisa-karstensson-ntm-media-rounded.webp)"The AI analysis gave us a better understanding of where customers get stuck and why. This enables us to simplify the experience, not only for those who call in, but for everyone using our digital services." \- Lisa Karstensson, Head of Customer Service, NTM Media. --- ##### **FAQ** Is it enough that the tool can transcribe calls? No. Transcription is a first step. The value comes from categorization, pattern analysis, and the connection to decisions, not from the raw text itself. Do we need a separate tool for each channel (calls, chat, email)? No, it should be the opposite. A tool that brings all channels into the same analysis gives a more complete picture than separate tools per channel. How do we know a vendor's references are relevant to us? Ask for examples from your own industry or a comparable volume of customer interactions, not just the vendor's single most impressive case. --- ##### Want to see what this kind of analysis looks like on your own data? 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