Mubarak Vision
From inconsistent equipment checks to AI-powered standardization across multiple eye care centers
The Old System: Equipment Chaos
Mubarak Vision operates 25+ eye care centers, each with specialized equipment - OCT scanners, slit lamps, autorefractors, phoropters. Each machine needs regular calibration and maintenance.
The old system? Paper logs at each center. Technicians tracked maintenance schedules in Excel. Equipment issues got reported via WhatsApp. No one knew which machine was due for service until it broke down during patient appointments.
Result: Equipment failures disrupted patient care, technicians drove hours to the wrong centers, and compliance tracking was a nightmare before health inspections.
Why Generic FSM Tools Failed
They tried ServiceTitan. Great foundation - scheduling, dispatch, work orders. But making it work for eye care equipment? That required massive IT work:
- •Equipment-Specific Workflows: Each device type (OCT, slit lamp, autorefractor) needs different calibration steps and maintenance schedules
- •Center-Based Scheduling: Technicians needed to service multiple machines per visit, optimized by location and equipment priority
- •Compliance Documentation: Health department audits require specific records for medical equipment - calibration certificates, service logs, part replacements
The IT team estimated 5 months to configure everything. By then, equipment maintenance would already be overdue.
AI Configuration Advantage
Fieldproxy's AI learned from their existing maintenance logs and equipment manuals, then auto-configured the entire system for eye care operations.
Equipment-Specific Protocols
AI analyzed maintenance manuals and created unique workflows for each device - OCT scanners get quarterly calibration, slit lamps need monthly cleaning protocols, autorefractors require bi-annual certification checks
Smart Scheduling
AI groups equipment by center location and maintenance priority, automatically scheduling technician visits to service multiple machines in one trip and minimizing patient care disruptions
Predictive Maintenance
AI tracks usage patterns and automatically escalates maintenance before equipment fails - no more OCT breakdowns during patient appointments
Technician Expertise Matching
AI assigns work based on certifications - advanced equipment like OCTs only go to certified technicians, routine maintenance gets distributed efficiently
From Manual Tracking to AI-Powered Standardization
The Transformation
Before
Paper logs at each center
Excel maintenance schedules
WhatsApp equipment alerts
5 months manual IT configuration
Reactive equipment repairs
After
Centralized equipment tracking
AI-scheduled preventive maintenance
Automated technician dispatch
4 days AI configuration
Predictive maintenance alerts
The Results
The Fieldproxy Difference
Generic FSM tools would have taken 5 months of manual IT work to configure equipment-specific protocols, compliance documentation, and technician routing for 25+ eye care centers.
Fieldproxy's AI learned from existing maintenance logs and equipment manuals, then automatically configured specialized workflows, predictive schedules, and compliance tracking in 4 days. As new equipment arrives or maintenance protocols change, AI adapts instantly - no IT involvement required.