Problem
Budgets force a false choice: more guards or more AI. High-performing sites use both deliberately.
Business impact
Misallocation either burns labor on low-value watching or over-automates judgment.
Current approaches
- Guard-heavy monitoring
- AI-only aspirations
- Camera walls
Why existing methods fail
- Guards do not scale to camera count
- AI without humans mishandles nuance
- Walls create passive fatigue
How AI solves it
- AI prioritizes; humans decide
- Guards respond to ranked events
- Measure response SLA
With AnomaAI, detections become business events with evidence—so teams review what matters and leaders see outcomes, not camera walls.
Business outcomes
- Higher guard productivity
- Lower missed events
- Clear operating model
Frequently Asked Questions
Will AI cut headcount?
Most sites redeploy attention to response and investigations rather than blank-screen watching.
Related use cases
Next step
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