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Turning Legacy Service Contracts into First Time Fix Wins - with Joe Lang of Comfort Systems

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Manage episode 501495665 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s guest is Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA — a leading national provider of mechanical, electrical, and plumbing building systems services, with more than 45 operating companies across 170+ locations. Joe shares insights on managing data complexity in large field service operations — from translating tribal knowledge into clean, usable data to building internal tools that treat technicians like their own customers. He explains why cleaning data too early can slow progress, how AI tools can gradually align terminology across legacy teams, and which KPIs matter most when moving from reactive to predictive service. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!

  continue reading

1006 episodes

Artwork
iconShare
 
Manage episode 501495665 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s guest is Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA — a leading national provider of mechanical, electrical, and plumbing building systems services, with more than 45 operating companies across 170+ locations. Joe shares insights on managing data complexity in large field service operations — from translating tribal knowledge into clean, usable data to building internal tools that treat technicians like their own customers. He explains why cleaning data too early can slow progress, how AI tools can gradually align terminology across legacy teams, and which KPIs matter most when moving from reactive to predictive service. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!

  continue reading

1006 episodes

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