How Kevin Helped Chase Improve Efficiency and Confidence in His AI Automation Agency

The Challenge

Chase is a commercial real estate broker and investor in Denver, Colorado, who also runs an AI automation agency for small business owners. With over 20 years of experience in data and research, including a tenure at the Department of Energy where he collaborated with institutions like MIT, Berkeley, and Stanford, Chase has a deep understanding of complex systems and a high bar for expertise.

Before partnering with Kevin, Chase faced the common challenge of ensuring the reliability and efficiency of his AI automation scenarios. While he could build these systems, he needed a solution that would not only optimize their performance but also instill confidence that they would operate flawlessly without constant oversight or unexpected breakdowns. This directly impacted his ability to deliver a consistent, high-quality product to his clients and manage operational costs effectively.

The Solution

Chase found his solution in Kevin. He engaged with Kevin to refine his existing automation scenarios. The focus was not just on making them faster, but on making them robust and dependable. Kevin's expertise allowed Chase to transform his "make scenarios" into highly efficient and reliable systems.

"You've been able to take my make scenarios and not only improve their efficiencies, but also the confidence that I have that they are going to run without breaking. This costs me less money. I am able to deliver a better product to my clients and overall I have to say it has been a privilege to work with you."

The Results

By partnering with Kevin, Chase experienced significant improvements in his automation systems. The enhanced efficiency and reliability not only reduced his operational costs but also elevated the quality of service he could provide to his clients. The confidence gained from working with Kevin allowed Chase to focus on growing his agency rather than troubleshooting broken automations.