Before: 15–30 minutes, manual
Fire Protection & Life Safety Services
An AI control tower that runs the workflows itself: dispatch under two minutes, 10+ hours a week returned, and $14K a month of hidden revenue leakage surfaced.
Year2026
IndustryFire protection & life safety
LocationNYC tri-state area
Fleet20+ service vehicles
What changed once the control tower ran the work.
Before: 2 hours
Before: 6–8 hours
Before: 12–15%
The challenge
A leading tri-state fire protection company was scaling fast and drowning in operational complexity. A 20-truck fleet was running emergency and scheduled calls across a dense metro.
Manual dispatch couldn't prioritize emergencies over routine jobs. Missed SLAs meant lost revenue.
Every new tech or client meant hours of manual intake, with knowledge trapped in the owner's head.
Rebuilding the week around emergencies and cancellations ate hours and still broke.
Everything lived in spreadsheets, texts, and tribal knowledge.
The solution
We didn't drop a chatbot into the business. We took whole workflows into production across every person and system that touches them: one control tower, named agents, reused across every truck.
Onboarding agent
The owner's diagnostic method became structured intake for service history, building specs, compliance, and scheduling. Two hours became 15 minutes.
Dispatch engine
Priority-based dispatch, P0 to P3, built on the company's rules. Emergencies auto-escalate to the nearest qualified tech.
Executive ROI dashboard
Real-time visibility into revenue per truck, tech utilization, client profitability, and operational KPIs.
