AI assistant

Guided intake and routing before the user commits to a long form.

The assistant route exists to classify the issue, clarify urgency, and point the user toward the right service path, quote route, or immediate call.

Assistant flow

Task-oriented AI structure

The assistant should classify issues, suggest services, and route people toward quote or upload actions.

Interactive routing

Turn a rough problem into the next best step.

No chatbot fluff

Choose the issue, urgency, and context. The route now checks the backend recommendation layer first, then falls back locally if the API is not available.

Context note

Home, condo, apartment, or household comfort issue.

Media note

You need direction first, or you are not ready to upload media yet.

AI assistant entry

Guide users toward the right next step.

Guided triage

The assistant is positioned as a practical router for issue review, service selection, and quote direction, not as a generic chatbot.

Start with a short problem statement, then move the visitor into the cleanest next action instead of forcing a full form too early.

01My AC is not cooling
02Should I repair or replace this mini-split?
03Our walk-in cooler is warming up
Best first outcome

Classify urgency, identify the right route, and only then ask for quote or upload details.

Assistant question stack

What the assistant should collect first

01
Service type and urgency

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

02
Residential or commercial context

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

03
Location on Oahu

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

04
Equipment type and age if known

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

05
Photos available or not

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

06
Preferred callback method

Keep the question short, practical, and easy to answer on mobile without turning the route into another long form.

Assistant result routing

Three example outcomes the assistant should produce

01Cooling loss at home

Route to AC repair, collect photos, and offer urgent call if the issue is active now.

02Restaurant refrigeration downtime

Escalate to business-priority refrigeration intake and encourage immediate human follow-up.

03Old system and rising repair costs

Guide the user into repair-versus-replacement logic and then toward the quote route.

Use AI when

Good for unclear issues. Not for trapping urgent users.

The route should help with classification and routing, while keeping the direct human fallback obvious.

Best fit

  • When the visitor is unsure which service route fits best.
  • When repair-versus-replacement needs a cleaner starting point.
  • When commercial refrigeration issues need structured triage before the full intake.
  • When a user wants direction before sending media or committing to a longer quote flow.

Call first instead

  • If cooling loss is active now and the situation cannot wait.
  • If business downtime is creating immediate product or operations risk.
  • If the visitor already knows they need human follow-up now.
  • If a quick phone handoff is faster than any guided route.
Fallback path

Urgent users should still have a direct human option.

The assistant should never feel like a wall between the visitor and the next real step.

The routing layer is useful when the issue is unclear, when the user is deciding between repair and replacement, or when a business needs help choosing the right intake path.