How Window World Scales Technology and AI Adoption with Glenn Rumfellow

Guest Introduction

Glenn Rumfellow serves as the Chief Information Officer at Window World of Baton Rouge, part of the largest Window World operation in the United States. His career began with early exposure to programming on the TRS 80 and Apple II, followed by roles in mainframe programming, technical support, and extensive development work in Microsoft Access, SQL, and enterprise document imaging. Glenn joined Window World first as a consultant, then as CIO, and now leads the organization's technology strategy across four major markets. His work includes modernizing legacy systems, guiding cloud migrations, deploying AI driven tools, and supporting operational efficiency in a business that completes tens of thousands of home installations each year.

 

Here's a Glimpse of What You'll Learn

• How Glenn transitioned from early BASIC and Pascal programming into enterprise technology leadership

• Why Window World is modernizing a long standing Microsoft Access CRM and preparing for an Azure migration

• How data accuracy, reporting, and automation support a business completing tens of thousands of installations

• How AI powered tools like Samsara and Reila support driver safety, coaching, and sales performance

• How Glenn built a natural language query interface using an LLM to help executives access data

• Why operational scale requires strong APIs, data structures, and continuous reporting discipline

• How Window World uses analytics to measure installers, sales reps, regions, and marketing sources

 

In This Episode

Glenn Rumfellow shares how he went from tinkering with early computers to leading technology for the largest Window World operations in the country. His background across mainframe systems, enterprise imaging platforms, and complex Access and SQL applications shaped his approach to designing reliable systems that scale with the business.

He explains how a long standing Access based CRM supported the company for nearly two decades and outlines the ongoing transition into a modern web application backed by SQL and Azure services. Glenn describes the level of data movement, automation, and reporting required when a company handles tens of thousands of installations each year. API integrations, structured reporting, and database mail have become essential to keeping the operation efficient and accountable.

Glenn also highlights how AI is already embedded in their business. The team uses Samsara for real time driver safety alerts and video capture, and they recently adopted Reila to improve sales performance through coaching and analysis. In the IT department, AI tools assist with coding, documentation, and product research. Glenn even built a prototype LLM powered query tool so executives can access operational data through natural language. He also shares how the team evaluates AI call agents and considers long term opportunities for automation as the technology becomes more cost effective.