Wunderkind builds an AI operating system with Glean

Learn how Wunderkind uses Glean’s Work AI platform to unify knowledge, speed up answers, and empower teams to work smarter across their tools. Wunderkind builds an AI operating system with Glean This is a CTA Overview Share this customer story: Wunderkind is approaching AI as an operating model rather than a collection of point solutions. ‍ With Glean, the team has built a context-rich foundation that helps employees find answers faster, automate repetitive work, and make better decisions across the business. The impact Today, Wunderkind has deployed more than 650 AI agents across the business.

Agent or tool: Glean
Topic: Customer Support
Reported on: Case study (Glean)
Added: 2026-11-11

Why it matters

Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 502 by interest), and one of 4 involving Glean.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Glean or any similar agent and adjust the details to your situation.

I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was Glean.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (Glean): https://glean.com/resources/customer-stories/wunderkind. Our summary is a paraphrase; details are in the source.

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