Pure-AI monitoring sells beautifully on a demo and disappoints in production. Pure-human monitoring is accurate but doesn't scale. The only model that works at U.S. enterprise scale is AI + human in the loop.
What AI does well
- Filters 99%+ of noise (wind, animals, headlights, weather).
- Detects line-crossing, loitering, crowd forming and PPE compliance.
- Searches hours of footage in seconds for forensic review.
What AI is bad at
- Intent. Is that person lost, drunk, or casing the building?
- Edge cases. A delivery driver vs a thief in the same uniform.
- Talk-down. AI cannot de-escalate.
The hybrid model in practice
AI surfaces the event in <2 seconds. A trained operator gets a context card ("loitering, north fence, 47 seconds, single male"), verifies in <15 seconds, and acts — talk-down, key-holder call, or police dispatch. That's the standard you should accept from any serious U.S. monitoring partner in 2026.