DeviceDiag AI vs. the Traditional Process

Old way vs. new way

Why the old process no longer pencils.

For most mid-range cameras ($400–$700), the traditional process costs more in labor than the camera's replacement value. The math has flipped.

Diagnostic time
Traditional process: 3–5 hours onsite
Device Diag AI: ~2 minutes
Cost per incident
Traditional process: $811 average
Device Diag AI: < $5 at scale
Technician visits
Traditional process: 2 truck rolls
Device Diag AI: Zero truck rolls
Accuracy
Traditional process: Variable, human error
Device Diag AI: 99% automated
NFF detection
Traditional process: Often missed
Device Diag AI: Every device caught
Brand coverage
Traditional process: Technician-dependent
Device Diag AI: All major brands
Report output
Traditional process: Manual, inconsistent
Device Diag AI: PDF / JSON / CSV auto
Security downtime
Traditional process: 1–3 weeks average
Device Diag AI: Resolved same day
Scales with volume
Traditional process: Cost grows linearly
Device Diag AI: Cost drops at scale
Fraud protection
Traditional process: None
Device Diag AI: Automated detection

Traditional · single incident

$811.80

Old way

Device Diag AI · enterprise volume

< $1

New way

Pricing

Annual commitment discounts of 5–15%. Custom development at $50/hr. NPI for new models at $5K (~4 weeks).

Single site · up to 50,000 devices/year

$2/ per scan

Multi-site · 50K–500K+ devices/year

$1/ per scan

Most customers reach full ROI in 3–6 months · 200 devices/mo = $162K/yr in direct savings

Tell us your device volume and brand mix — we'll show you exactly how the platform performs on your fleet, with a custom cost-savings estimate.