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ConstructionAI implementation case study

Construction – Specialty Electrical Contractor (Gulf Coast): Workforce & Certification AI System

AI automation for job-ready crew matching, certification tracking, safety briefing agents, and payroll tie-out to work orders.

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

Key takeaway

PrimeAxiom automated the full human-capital loop for field electrical work—matching, compliance, safety, and pay—in one AI-governed system.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: specialty electrical. Size: 400+ field staff. Complexity: union halls, multi-state licenses.

02 · Challenge

Core problem

Manual roster checks, paper safety, payroll fights. Bottleneck at dispatch desk during storm response.

03 · Approach

Solution

PrimeAxiom built a workforce intelligence fabric: AI matches jobs to certified workers, monitors expirations, delivers adaptive safety briefings via SMS/video links, and reconciles hours to work orders automatically.

04 · Impact

Results

Dispatch errors −72%; certification lapses −89%; payroll disputes −54%; job readiness time −41%.

System design

The full automation system

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

Cert Graph Agent, Match Agent, Safety Brief Agent, Hours Recon Agent.

Workflow

How the automation runs

1. Work order released. 2. AI filters eligible crew. 3. SMS offers; accepts tracked. 4. Briefing content by site risk. 5. Time punches tied to WO. 6. Foreman exceptions only. 7. Feedback improves matching.

Intelligence layer

AI agents and decision logic

Matcher Agent, Compliance Agent, Safety Agent, Payroll Agent.

Under the hood

Technical architecture

Skills graph in Postgres, mobile-friendly flows, LLM for dynamic briefings.

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