From manual power equipment tracking to AI-powered service coordination across 300+ commercial installations
Powertech managed installations and maintenance for generators, UPS systems, solar inverters, and transformers across commercial facilities. Each equipment type had different maintenance protocols, compliance requirements, and safety procedures.
Technicians juggled Excel sheets for different equipment brands (Caterpillar, Cummins, Kohler), paper checklists varied by facility, and coordinating emergency repairs meant endless phone calls. A single generator failure could cascade into hours of manual coordination.
Traditional FSM platforms offered generic work order management, but Powertech's operations demanded equipment-specific workflows. Setting up separate processes for generators vs UPS systems vs solar installations meant months of custom development.
IT teams spent weeks configuring maintenance schedules for each equipment model, building custom forms for compliance documentation, and creating conditional logic for emergency vs preventive maintenance. Every new equipment type or client requirement meant another development cycle.
Fieldproxy's AI analyzed their service history, equipment manuals, and compliance requirements to auto-configure equipment-specific workflows without any coding.
AI learned from past maintenance records to create unique workflows for each equipment type - generators needed fuel quality checks, UPS systems required battery health monitoring, solar inverters tracked power output patterns.
AI automatically prioritized emergency calls based on facility criticality (hospitals vs offices), equipment age, and available certified technicians, ensuring critical power failures got immediate response.
AI analyzed equipment runtime data to predict maintenance needs before failures, automatically scheduling preventive service during low-demand periods to minimize disruption.
AI generated required safety checklists, electrical compliance reports, and warranty documentation based on equipment type and location, adapting forms when regulations changed.
7 months to configure equipment-specific workflows manually
IT developers needed for every new equipment type
Emergency response averaged 4+ hours coordination time
Maintenance schedules based on guesswork, not data
Compliance documentation created manually after service
3 days for AI to configure all equipment workflows automatically
Zero IT involvement - AI adapts when equipment changes
Emergency response down to 45 minutes with smart routing
Predictive scheduling prevents 80% of equipment failures
Compliance docs auto-generated during service completion
Powertech didn't need to abandon their operational expertise or hire expensive consultants. Fieldproxy's AI simply learned how they worked and configured the system to match - in 3 days instead of 7 months of manual IT work. When they add new equipment types or clients change requirements, the system automatically adapts without IT involvement.