An agent that watches the fleet so your team doesn't have to.
A layer of agents works on the telemetry of the entire fleet: it watches continuously, correlates signals, retrieves context and delivers prepared decisions — not loose alerts.
Agentic Fleet Manager
What the agent does
- Watches continuously
- Correlates signals
- Retrieves context
- Prioritizes
- Recommends
The scaling model
Scaling with people
Every new unit adds signals someone has to review. Supervision grows with shifts, training and workload.
- Review capacity depends on the size of the team
- Signal volume doesn't respect shifts or schedules
- More alerts don't mean more control
Scaling with agents
Each agent specializes in a type of decision and works permanently on the telemetry.
- No limit on shifts or workload
- Every incident arrives with context and an evaluation
- Supervision scales without scaling the team
The problem
More alerts don't mean more control.
A fleet generates hundreds of events per day. The real work isn't receiving the alert: it's deciding which ones need attention, why, and what to do next.
More vehicles, more signals
Every unit added to the operation generates telemetry that today someone has to review.
The alert is where the work starts
Receiving an alert means searching for context across sources to tell whether the event needs attention.
The first layer of analysis, automated
Agentic Fleet Manager watches, correlates and evaluates every incident, and hands the team a prepared decision.
The difference
Traditional monitoring vs. agents.
Traditional monitoring
- Every new unit generates more signals people have to review.
- An alert forces you to search for context across sources.
- More operational volume ends up requiring more human capacity.
With Agentic Fleet Manager
- Agents watch the telemetry continuously, with no human intervention.
- Every incident arrives with retrieved context and a ready evaluation.
- Supervision capacity scales by adding agents, not operators.
Agent family
Not a chatbot. Specialized agents.
Each agent watches and reasons about a specific type of problem, with the context of the entire fleet.
Maintenance agent
Watches
Battery, DTC codes, temperature and mechanical behavior.
Safety agent
Watches
Speed, driving, geofences and risk patterns.
Efficiency agent
Watches
Idling, utilization and fuel consumption.
In action
How Agentic Fleet Manager alerts you
Not an alarm: every message arrives with context, an evaluation and a suggested action ready to execute.
AB123CD — Low battery (8V)
Suggested action: Check the battery and charge level; assess whether immediate technical intervention is needed.
GEOFENCE: EF456GH out of zone — MEDIUM RISK
Context: 2nd time entering the zone, traveling under 20 km; this area is usual on its route.
Suggested action: Monitor operationally without immediate escalation.
IJ789KL — high coolant temp (max 118°C)
Suggested action: Turn off the engine and let it cool down; if the temperature keeps rising, dispatch assistance.
From signal to decision
A real incident, from start to finish.
How the agent works on a single event: it receives the signal, retrieves context, evaluates and produces a concrete recommendation.
01 · Signal
Coolant temperature: 118 °C
The agent receives the vehicle's signal in real time.
02 · Context retrieved
Engine idling · 822 RPM · unit stopped
It correlates the signal with the rest of the same vehicle's telemetry.
03 · Evaluation
Temperature condition out of range
It reasons over the whole picture: not an isolated spike, a sustained condition.
04 · Recommended action
Shut off and let it cool; escalate to assistance if it keeps rising
The incident reaches the team as a prepared decision, not a loose alarm.
Which part of your team's daily monitoring could an agent do?
Book a demo: we assess your operation and identify which supervision can be agent-assisted.