Emergency dispatch and scheduled service — triaged in seconds.
Reads each service request, distinguishes emergencies from routine work, dispatches the right tech with the right parts, and sends the customer a real ETA.
12 calls triaged today. Emergency dispatch confirmed:
How does OpenAI (ChatGPT) work for plumbing teams?
OpenAI (ChatGPT) works for plumbing 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 plumbing 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 plumbing team to focus on high-value strategic work. Teams typically see 24/7 after-hours emergency coverage once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your plumbing 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 plumbing 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.
Crew dispatched · arrival 25 min · Marcus + Eli
Got your message about water under the kitchen sink — classified as urgent. Marcus and Eli are on the way, ETA 25 min (track in the SMS link).
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.olsen@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: Triage every service request with @ChatGPT — distinguish emergencies from routin
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
ServiceTitan, FieldEdge, Housecall Pro, Workiz, Jobber. Customer history and equipment records read seamlessly.
Active leak, no water, sewage backup → emergency. Routine repair, slow drain, replacement → scheduled. Customer descriptions and photos drive the classification.
Both. Many plumbing jobs need on-site assessment for accurate quoting; the agent sets that expectation clearly upfront.
Different pricing, different SLAs, different dispatch logic. The agent handles both with the right rules per type.
Yes — schedules visits, sends reminders, handles renewals. Maintenance plan customers get priority dispatch automatically.
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