Stop Losing Profitable Jobs to Manual Scheduling and Reactive Maintenance Custom AI Systems Built for Your HVAC Workflow

How does your AI handle the unpredictability of HVAC emergency calls?

Emergencies are HVAC's bread and butter, but they wreck schedules. Our custom AI triages calls by severity—using keywords like 'no heat' or 'leaking refrigerant'—and matches them to the nearest certified tech. It factors in real-time variables like current job status and travel time, dispatching in under 2 minutes on average. We've seen clients reduce no-shows by 35% this way, all while integrating with your existing dispatch board. No more playing phone tag during a heatwave; the system learns from past patterns to prioritize high-risk issues, like elderly clients or commercial downtime.

Will this replace our current software like ServiceTitan?

Absolutely not— we enhance it. Our solutions integrate deeply with platforms like ServiceTitan, pulling in job data, customer histories, and inventory levels for seamless automation. For instance, when a tech completes a furnace repair, our AI auto-generates the invoice and schedules follow-ups without manual entry. This creates a unified view, eliminating the double-data-entry nightmare that costs HVAC firms 10-15 hours weekly. If you're on a legacy system, we build bridges to modernize without a full rip-and-replace, ensuring your investment pays off immediately.

What kind of ROI can an HVAC contractor expect from your custom AI?

HVAC businesses typically see ROI within 4-6 months. By automating dispatch and parts forecasting, you cut overtime by 30% and boost billable hours— that's often $50K+ in recovered revenue for a mid-sized firm. Our clients report 25% faster job completion, leading to more daily calls handled, plus fewer errors in compliance docs that avoid fines up to $10K. Long-term, the predictive features prevent stockouts during peak seasons, saving on rush orders. We baseline your metrics pre-build and track progress, with most hitting 2-3x return through efficiency and client retention gains.

How do you ensure the AI understands HVAC-specific jargon and regulations?

We train models on your data— service logs, EPA guidelines, and tech manuals— so it speaks fluent HVAC. Terms like 'SEER ratings' or 'duct sealing' are baked in, and the system flags non-compliant actions, like improper refrigerant disposal. For example, our AI can auto-populate 608 certification checks during installs. It's not off-the-shelf; we fine-tune with industry benchmarks from sources like ACCA, ensuring accuracy above 95%. This means techs get precise guidance in the field, reducing callbacks by 20% and keeping you regulation-ready without constant retraining.

Can your solutions scale if we expand to multi-location operations?

What happens if we need custom tweaks after launch?

Post-launch support is baked in. For the first 90 days, we offer unlimited refinements— like adjusting AI logic for new services such as geothermal installs. Our team monitors performance via dashboards, proactively suggesting updates based on usage data. Beyond that, flexible maintenance plans keep things optimized, often just 2-4 hours monthly. Unlike rigid SaaS, you own the code, so changes are yours to direct, not dictated by vendor roadmaps. This agility has helped clients pivot quickly to trends like heat pump incentives without downtime.