Diagnose HVAC issues from a photo and text the tech a repair plan

A customer submits a photo of their HVAC unit and AI diagnoses the likely problem and repair cost.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"customer submits photo and description"]:::trig s0["read nameplate photo"]:::svc s1["extract unit details"]:::svc s2["diagnose issue and estimate cost"]:::svc s3["save and send diagnosis"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"pre visit diagnosis with cost estimate"/]:::out pay{{"fewer wasted truck rolls"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Voice & PhoneMessaging & NotificationsDocument Processing & OCRSurvey & Feedback
Connects
GoHighLevelWhatsAppGoogle Gemini

The problem it solves

When a customer calls in an HVAC problem, your team often has no idea what's wrong or what parts might be needed until a technician is already on site. That means wasted trips, guesswork on pricing, and slower response times for the customer.

Who it fits

An HVAC company handling service calls and dispatch.

How it works

  1. A customer fills out a form describing the issue and uploads a photo of the unit's nameplate
  2. AI reads the photo to pull the brand, model, serial number, and refrigerant type
  3. AI reviews the description and photo together to estimate the likely issue and repair cost
  4. The diagnosis and recommendation are saved to the customer's record and sent over WhatsApp
What you get

Diagnosis a technician still confirms onsite

Your technician gets a likely diagnosis and repair estimate texted over before they even arrive.

What you get

A pre-visit diagnosis with the unit details, probable issue, repair action, and estimated cost.

What you need

A GoHighLevel account, a WhatsApp Business account, and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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