Seasonal tune-up reminders and emergency dispatch — in one agent.
Sends spring/fall tune-up reminders personalized to each system's age and last-service notes, triages emergency calls, and dispatches the right tech with the right parts.
84 spring tune-up reminders dispatched. One sample:
How does OpenAI (ChatGPT) work for hvac teams?
OpenAI (ChatGPT) works for hvac teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your hvac operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your hvac team to focus on high-value strategic work. Teams typically see complete peak-day call capture once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your hvac team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For hvac teams, this typically means routing workflows from tools like ServiceTitan alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Time for spring AC tune-up · 2018 Carrier · April slots open
Your 2018 Carrier 16-SEER is due for spring service — we last visited September and recommended monitoring the capacitor.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to k.ahmed@homemail.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send seasonal tune-up reminders with @ChatGPT — personalized to each system's ag
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
ServiceTitan, FieldEdge, Housecall Pro, Workiz, Jobber, Successware, Dispatch. Customer history and equipment records read seamlessly.
Yes. Emergency calls (no heat, water leak, no AC in heat wave) dispatch within minutes; routine work fits into the regular schedule.
It reads the customer's equipment record (age, model, last service) and predicts likely parts needs. Reduces second visits significantly.
It manages the maintenance plan calendar, sends scheduled visit reminders, and handles plan renewals.
Yes — seasonal promotions, neighborhood campaigns, post-install follow-ups. The voice matches your shop, not a generic template.
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