Just Curious: Applied AI for Value Creation

Jordan Gurrieri - BlueLabel | How to Turn AI Experiments into Enterprise Systems—Lessons from 300+ Deployments

Stuart Willson

Jordan Gurrieri, Co-founder & CEO of BlueLabel, explains how mid-market and enterprise operators can finally escape pilot purgatory and deploy AI systems that scale reliably. Drawing on two decades of automation experience and hundreds of shipped products, he breaks down why AI initiatives fail, how to design for workflow fit from day one, and what it takes to turn tribal knowledge and inconsistent pilots into production-grade, agentic workflows.

You’ll Learn:

  • Why AI pilots break when more than a handful of people rely on them—and how to rebuild them for consistency, accuracy, and cost efficiency.
  • How to identify high-friction workflows by mapping real user behavior, pain points, and dependency chains.
  • How to convert tribal knowledge into durable, queryable agentic systems that support frontline teams in real time.
  • Why agentic, workflow-embedded AI drives true competitive advantage while personal productivity tools do not.
  • How a regional telecom automated dispatch operations and doubled field technician throughput with an AI-powered workflow system.

Chapters:

00:00 Intro
00:32 Jordan’s background & BlueLabel’s focus
02:09 How early automation shaped his AI worldview
03:31 Why pilots break when scaling AI
05:05 Common traps between pilot and production
07:15 What scaling AI actually requires
10:26 Personal productivity vs. organizational advantage
12:45 Telecom case study: the dispatch bottleneck
15:02 Agentic tools for field technicians
17:59 Change management inside legacy workflows
19:36 Rebuilding the pilot on a scalable API foundation
21:50 Lessons for future AI deployments
23:35 Identifying high-fit workflows
26:08 What makes a strong AI use case
28:05 A myth about AI implementation
30:15 Who should work with BlueLabel
31:52 Advice for leaders under AI pressure

Links:

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