Most AI pitches to industrial heating operators are generic, built for an office, not a boiler house. Here is where it actually earns its keep, grounded in how combustion efficiency and field operations actually work.
The paperwork problem
Scheduling field and project work by hand. Field crews carrying paperwork that slows the job and produces patchy data. Estimation and admin soaking up skilled hours that should be spent on the plant, not the spreadsheet. This is the layer a governed assistant and first automations clear in weeks, not months.
Where the real efficiency number lives
Combustion efficiency is one of the few places in a business where the physics is well understood and the savings are directly measurable. The US Department of Energy cites an often-stated rule of thumb: boiler efficiency improves by about 1% for every 15% reduction in excess air, or every 22 °C (40 °F) reduction in stack gas temperature. It also notes that boilers often run at more excess air than the optimum.
- 10% — Excess air the DOE says is attainable on well-designed natural gas systems.
- 1% : 15% — Efficiency gained per 15% cut in excess air, or per 22 °C cut in stack temperature.
- 78.2% → 83.1% — Combustion efficiency in the DOE's worked example, after tuning a gas boiler from about 45% excess air down to 9.5%.
Why this needs a connected foundation, not a gadget
An oxygen trim system on one boiler tells you about that boiler. The Org Brain over your CRM, field service, project operations and finance tells you which of your boilers, customers or sites are actually costing you the most, and lets you sequence maintenance and tuning against real delivery risk and cash impact, not just the loudest complaint.