Sales ops · Production

Wunderkind builds an AI operating system with Glean

The problem

Standalone AI tools could solve narrow tasks but lacked the business context needed for more strategic, cross-functional work, leaving teams with manual effort, poor information flow, and slow coordination.

Workflow diagram · grounded in source
1
High-value sales use cases
trigger
“Wunderkind started with practical, high-value use cases for their sales teams where AI could immediately remove friction”
2
Context-rich knowledge layer
ai_action
“supporting teams in sales, HR, finance, and operations with knowledge access, content generation, automation, and decision support”
3
Sales deal context and planning
ai_action
“Glean helping teams tailor content, use historical deal context, identify blockers sooner, and strengthen account planning while following Wunderkind's sales methodology”
4
IT and support ticket resolution
ai_action
“Wunderkind's IT and Customer Support teams have also used Glean to achieve much faster ticket resolution times and improved efficiency”
5
Cross-functional AI execution
ai_action
“teams are also using AI to draft copy, analyze data, generate predictions, and speed up execution and decision-making”
6
AI-first operating model
output
“The result is an AI-first operating model that is driving productivity, faster decisions, and stronger execution across the business”
Reported outcome

Wunderkind deployed more than 650 AI agents saving thousands of hours, accelerated employee onboarding from months to days, achieved much faster ticket resolution, and enabled near real-time response to business changes.

Reported metrics
AI agents deployedmore than 650
Hours saved through automationthousands of hours
Employee onboarding timeaccelerated from months to days
Ticket resolution timemuch faster ticket resolution times
Show all 5 reported metrics
AI agents deployedmore than 650
hours saved through automationthousands of hours
employee onboarding timeaccelerated from months to days
ticket resolution timemuch faster ticket resolution times
business change response speednear real time
Reported stack
Glean
Source
https://www.glean.com/resources/customer-stories/wunderkind
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Wunderkind deployed more than 650 AI agents saving thousands of hours, accelerated employee onboarding from months to days, achieved much faster ticket resolution, and enabled near real-time response to business changes.

What tools did this team use?

Glean.

What results were reported?

AI agents deployed: more than 650; Hours saved through automation: thousands of hours; Employee onboarding time: accelerated from months to days; Ticket resolution time: much faster ticket resolution times (source-reported, not independently verified).

How is this sales ops AI workflow structured?

High-value sales use cases → Context-rich knowledge layer → Sales deal context and planning → IT and support ticket resolution → Cross-functional AI execution → AI-first operating model.

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