This short podcast episode is Tyler Nelson’s Bry-X presentation from the 7th Annual HVACR Training Symposium: Digital Tools and AI – “So Happy Together.” Tyler is the Business Development Manager and Global Trainer at Sauermann Americas.

Artificial intelligence (AI) is measured data, not an authority, and it will not replace techs. It may enhance technicians’ abilities but must be used responsibly. AI operates on clear logic and supplies pattern recognition, what-if analysis, and decision support (but NOT decision ownership). The technician ultimately owns decision authority and technical judgment, but AI helps save time. Modern AI reinforces best practices, flags inconsistencies, and cross-references industry data, meaning it amplifies experience rather than replacing it.

HVAC technicians’ work depends on codes and standards, physics, and diagnostic cause and effect, which all have repeatable workflows; AI provides instant analysis and verification in those key areas. We already have a wealth of data from our tools and manufacturers’ literature, and AI connects those to help us make decisions; technicians fear being incorrect or missing diagnostic factors, and AI can help us assimilate data by connecting data sources and ensuring that all angles are covered. It closes interpretation gaps and gives us the framework to make constructive decisions.

measureQuick is an example of a diagnostic app that integrates AI in its workflows; it is leading the way in terms of digital tools and AI integration, and it gives technicians a lot of power in the field. Apps that use AI with digital tools help us navigate the industry as equipment becomes more complex, and they save time by making your work faster and more accurate. These tools come at a cost, but those costs can be spread across flat diagnostic fees and service agreements. Feeding readings from these apps into AI can also help you understand gaps in your own thinking and understand the relationships between the tools’ readings and the field reality. AI can also take the data and provide technicians with scripts that are easy for customers to understand.

If you give AI specific prompts and data, including images, equipment data, tool data, and commands to include or exclude certain sources (such as excluding crowdsourced information), you can learn a lot about the system in front of you. It can also help you interpret images or videos. These functions of the tool can help us question our own assumptions, expand our understanding of field problems, and vet our decisions.

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