yourtechniciansshouldbefixingproblems,notfieldingphonecalls.
Trades companies scale on process — intake, dispatch, diagnosis, scheduling, invoicing. But most of those processes are still manual, phone-based, and dependent on individual knowledge. When the key person is unavailable, the system breaks down.
thescalingwall.
Every trades company hits the same ceiling. You can't grow past what your manual processes can handle. The front desk becomes a bottleneck, your senior techs spend half their time on phone calls instead of billable work, and institutional knowledge walks out the door when people leave.
- Front desk staff overwhelmed by call volume they can't fully diagnose
- Senior technicians pulled off billable work to handle intake and triage
- Institutional knowledge trapped in the heads of your most experienced people
- No visibility into patterns — same problems repeat because nobody tracks the data
thesystem.
AI that handles the intake, captures the knowledge, and surfaces the patterns — so your team focuses on the work that requires their hands and expertise.
Diagnostic intake
Customers walk through AI-guided troubleshooting before a human touches the ticket. Basic fixes recommended automatically, complex issues arrive fully scoped with the specific problem identified.
Automated ticket scoping & routing
AI categorizes, prioritizes, and routes service tickets to the right technician based on problem type, location, and skillset. No more manual triage bottlenecks.
Knowledge capture
Your senior technicians' expertise — the troubleshooting patterns, the diagnostic shortcuts, the institutional knowledge — captured into a queryable AI system that makes every technician as effective as your best.
Operational intelligence
Once intake is automated, the structured data feeds analysis. "What are the top 5 maintenance issues this quarter?" / "Which technician has the fastest resolution time?" — insights that were previously invisible.