A short, well-structured pilot tells you whether AI dashcams will work for your drivers and routes before you commit to a full rollout.
By the Sentrick Fleet team · Published October 12, 2026
Buying AI dashcams for an entire fleet in one step is a big bet. The devices may fit some vehicles badly, alerts may fire too often for your routes, or drivers may react poorly if the change is rushed. A pilot lets you learn on a small scale. This plan lays out a practical 60-day structure that fits around a busy operation and ends with a clear decision.
Decide what you want the pilot to prove. Common goals include reducing specific behaviors such as following too closely or phone use, speeding up collision investigations, or improving coaching. Pick two or three measurable goals and record the current baseline, such as incidents, claims or coaching conversations over a comparable period. Without a baseline you will only have impressions at the end. Our guide to building a fleet safety program can help you connect the pilot to your wider objectives.
Select perhaps five to fifteen vehicles, or about ten percent of a larger fleet, that reflect your real mix of routes, vehicle types, shifts and drivers. Avoid choosing only your best drivers or only the problem ones, since either skews the result. Include at least one challenging condition, such as night routes or urban stop-and-go, because that is where the system will be tested most. Confirm that installation positions work for each vehicle type and that the cabling and power arrangements are sound.
Driver acceptance can make or break the pilot. Before installation, hold a short briefing explaining what the cameras record, when, who can view footage, how long it is kept and how it will and will not be used. Make clear that the purpose is safety and fair treatment, including protection against unjustified claims. Put the policy in writing and check local legal requirements, especially for in-cab recording. More on building trust is in our article on AI dashcam privacy and driver trust. Invite questions and feedback throughout; drivers often spot practical issues faster than managers.
Install the devices and let them run with minimal intervention. Use this period to check basics: is footage clear, are devices staying powered, is connectivity reliable, and are alerts accurate? Expect some false or irrelevant alerts at first. Record them and work with the vendor to adjust sensitivity and event types. Avoid using the early data to judge drivers while the system is still being calibrated.
Once alerts are reasonably tuned, start using them for coaching. Review a limited number of events each week, choosing those that illustrate a clear pattern, and discuss them with drivers promptly and constructively. The approach in fleet driver coaching applies directly. Track how many events are reviewed, how many conversations happen and how behavior trends change. It helps to understand what the detections mean, so see distracted driving detection and AI dashcams for fleets for background.
Now check benefits beyond coaching. If an incident or near miss occurs, note how footage and event data help with the investigation and with resolving disputes. Ask supervisors whether the workload is manageable: does the volume of alerts fit within their time? Ask drivers how the experience feels and what they would change. These practical findings often matter as much as the safety metrics.
Compare results with your baseline and goals, remembering that a small group over two months produces noisy numbers and should be read with caution. Look at the whole picture: device reliability, alert quality, installation effort, driver feedback, supervisor workload and cost. Hold a decision meeting and choose among scaling up, extending the pilot with changes, or stopping. Writing the criteria for each outcome before the pilot starts keeps the discussion objective. A regular fleet safety meeting is a good place to share findings with the team.
Avoid skipping the baseline, rushing driver communication, treating early false alerts as final proof of failure, or measuring success only by the number of events detected. Fewer events can mean improved behavior or poorly tuned detection, so pair counts with quality checks and driver feedback. Also plan for how new hires will be handled if the rollout continues; our article on new driver onboarding with telematics offers a starting point.
A 60-day pilot reduces risk and builds support. Define goals and a baseline, choose representative vehicles, prepare drivers openly, calibrate before judging, coach on patterns, test the operational value and decide against criteria you set in advance. Whatever the outcome, you will make the full-fleet decision with evidence instead of assumptions.