Local Service BusinessesAI implementation case study

Local Services – Multi-Location HVAC & Plumbing (Metro): Dispatch & Parts Intelligence AI

Full AI automation for emergency triage, tech routing, van inventory awareness, and invoice-to-pay field sync.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom automated the entire HVAC/plumbing service loop from emergency call to cash—with AI agents coordinating people, trucks, and billing.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: residential/commercial HVAC. Size: 90 trucks. Complexity: seasonal surge.

02 · Challenge

Core problem

Manual dispatch, parts guesswork, billing delay.

03 · Approach

Solution

PrimeAxiom deployed field service AI: NLP on emergency calls, routing optimizer with skills + parts on truck, mobile job agents, and AR sync with accounting.

04 · Impact

Results

First-time fix rate +18%; average drive time −22%; invoice lag −64%; revenue per tech +12%.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Triage Agent, Route Agent, Parts Agent, Billing Agent.

Workflow

How the automation runs

1. Call/text intake. 2. AI classifies urgency. 3. Tech match + ETA. 4. Parts check on van. 5. Job completion mobile. 6. Invoice draft. 7. CSAT feeds routing.

Intelligence layer

AI agents and decision logic

Intake Agent, Dispatch Agent, Inventory Agent.

Under the hood

Technical architecture

Telephony + GIS, FSM integration, LLM for call summaries.

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