---
title: "How to choose the right AI tool for customer insights: a guide for decision-makers"
description: Choosing the right AI tool for customer insights is less about feature lists and more about who needs to be part of the decision.
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# How to choose the right AI tool for customer insights: a guide for decision-makers

September 22, 2026

In short: Choosing the right AI tool for customer insights is less about feature lists and more about who in the organization needs to be part of the decision. Here is the process we see working for our customers.

Most decision-makers we talk to already have a sense of the problem they want to solve. What stops them is rarely a lack of alternatives. It is the internal process: who owns the budget, who needs to say yes, and what makes the project stall while waiting for next quarter.

---

##### **Why these decisions take time**

Buying an AI tool for customer insights rarely involves a single decision-maker. Operations, IT and leadership have different requirements, and the process is shaped by internal priorities and budget cycles more than by how good the tool is. The most common blockers are a lack of a clear internal AI strategy, resource and time constraints, and competing initiatives fighting for the same budget.

![reklambild-mote-med-kollegor](https://info.indicateme.se/hs-fs/hubfs/reklambild-mote-med-kollegor.webp?width=1200&height=630&name=reklambild-mote-med-kollegor.webp)

---

##### **How to make the decision in practice**

1. **Define a concrete use case first.** “We want to understand customer insights better” is too vague to drive a decision. “We want to reduce repeat contacts related to billing” is more measurable.
2. **Identify who needs to say yes.** It is usually more than the CS manager. A CX lead, COO or CMO are common co-decision-makers, especially when insights need to reach functions beyond customer service.
3. **Calculate what a better decision is worth.** Do not just ask “what does the tool cost”, ask “which decision gets better because of these insights, and what is that worth in real terms”.
4. **Test it on real data, not a demo environment.** A proof of concept on your own customer conversations reveals more in two weeks than a sales presentation does in two hours.
5. **Build the internal reference before you scale.** A clear result in one department makes it far easier to justify the next step to leadership.

---

##### **From gut feeling to evidence that holds up**

Lyreco Norway is a good example of how customer insights can become a natural part of the leadership team's work :

> ![pia-lyreco-rounded](https://info.indicateme.se/hs-fs/hubfs/pia-lyreco-rounded.webp?width=180&height=180&name=pia-lyreco-rounded.webp)Customer insights are a fixed part of my monthly business review with the CEO. They're also a fixed part of our quality meeting every Monday morning, where all business areas are represented.

—**Pia Helle Gilinsky-Gundersen, Head of Customer & Sales Care, Lyreco Norway**

---

##### **FAQ**

Who should be involved when evaluating an AI tool for customer insights?   
Typically the CS manager or CX lead as the operational owner, plus a strategic sponsor such as a COO, CMO, or equivalent in leadership who can connect the decision to business value.

How long does a typical decision process take?   
It varies with the size of the organization, but expect anywhere from a few months to half a year for larger organizations with multiple decision-makers and a formal IT or security review.

What is the most common reason projects stall?   
Not the lack of a good tool, but competing initiatives and unclear ownership of the budget and the decision.

Is a pilot in one department enough?   
It is often the best way to start. A clear, measurable result in one department becomes the internal proof that makes it easier to justify a broader rollout.

---

##### Want to see what a concrete use case could look like for your organization?

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