Definition
Pilot KPI
A measurable criterion used to decide whether a safety AI pilot worked.
What it means
A pilot KPI is a metric agreed before deployment, such as camera-to-alert timing, nuisance alert rate, acknowledgement time, event usefulness, or near-miss capture.
Why it matters
Without KPIs, a pilot turns into a demo. With KPIs, the team can decide whether to expand, tune, or stop.
Evaluation questions
What outcome will prove value in the first zone?
Who reviews the KPI each week?
What result triggers expansion?
Continue Exploring
Industrial AI pilot checklist
Use a checklist to define pilot KPIs before deployment.
Platform architecture
Review how DHI runs inference, event routing, and camera ingest.
Edge AI safety evaluation guide
Use a structured checklist to evaluate platform fit before a pilot.
Pricing and pilot scope
Understand what changes the final pilot and rollout scope.
Validate pilot kpi in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
Request a demo
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
See deployment architecture
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Get the implementation checklist
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Talk to an engineer
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.