Guide
Pilot KPI Worksheet for Safety AI
- Author
- DHI Safety OperationsEdge AI ArchitectureReviewed by DHI Engineering
- Published
- 2026-07-02
- Read time
- 6 min read
- Updated
- 2026-07-02
Who this is for
For operators and safety teams turning an AI demo into a measurable pilot.
The buyer question
Which KPIs prove a safety AI pilot is worth expanding?
Define the event
Name the event class and the exact camera zone. A pilot should not begin with every possible detection.
Define the response
Name the owner, channel, action, and escalation rule. If the event has no owner, it is not ready for live alerting.
Define the decision
Set the threshold for expand, tune, or stop before the pilot starts. Write the number down before the first alert fires, not after a disappointing week, or the team will negotiate the bar down to match whatever the pilot actually produced.
How to use this with DHI
Use this page as a pre-pilot checklist. Pick one zone, one event type, one alert owner, and one review cadence. If the current cameras cannot support the workflow, fix the camera plan before expanding the deployment.
Validate "pilot kpi worksheet for safety ai" on your live feeds.
Coordinate a 30-day architecture review and live camera validation based on the protocol described in "pilot kpi worksheet for safety ai" for your facility.
Best follow-up: bring the current workflow that "Pilot KPI Worksheet for Safety AI" is supposed to improve.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.