An AI-powered operational command center designed to help distributed teams turn real-time detections into clearer, faster decisions by shaping the human workflow around the model, not only the screens.

Problem

1. Attention does not scale with signal volumeAs sites and cameras multiply, the number of people who can watch feeds in real time stays limited. Manual monitoring stretches the gap between something appearing on screen and a decision being made.
2. Detection is not a decisionAI can surface a possible person in frame, but that is still not an event. Someone must verify what was detected, and separately decide whether it warrants operational action.
3. Responsibility across the chain was unclearWithout a defined handoff between validation and authority, repetitive screening work stayed mixed with high-stakes judgment, slowing response and blurring accountability.

Solution

A structured workflow around AI detections: focused human validation, clearer operational authority, and event context that builds over time. So teams can prioritize under load while protecting attention across the full chain. Successful AI here meant designing the organization and process around the model, not the model alone.