AI fleet management

AI Fleet Management

Fleet safety that predicts instead of reporting. Self-learning driver monitoring, collision avoidance, route governance and live contact with the control room.

Overview

From post-event analysis to prevention before the event

Conventional fleet management detects harsh braking, over-speeding, seat-belt use, location and possibly rollover. It doesn't track planned routes against the journey management system, and it still relies on the driver and the dispatcher to act.

AI fleet management changes the timing. A self-learning algorithm detects driver behaviour a standard telematics box never sees, and intervenes while the incident is still avoidable — with far less reliance on safety engineers and stop cards.

Proactive: AI analysis of driver performance and attitude, not a report after the fact
Smart: detection of possible collisions and blind spots around the vehicle
Governed: higher control over the JMS, including detection of unplanned routes
Connected: continuous interaction between vehicle and control centre, plus deep statistical reporting

Fleet Management

Capabilities

What we design, supply and support

Each capability is delivered end to end — consultancy and design through installation, integration, commissioning and ongoing support.

Driver monitoring (DMS)

Going beyond standard safety measures — detecting risky driver actions, attentiveness and distraction in real time.

Fatigue driving — yawning detection
Fatigue driving — eye closure detection
Distracted driving — smoking
Distracted driving — phone use
In-cab alerting at the moment of risk

ADAS — advanced driver assistance

Real-time road condition monitoring: detecting and tracing surrounding vehicles, pedestrians, lane deviation, traffic signs and vehicle speed, predicting potential danger and triggering an alarm.

Forward collision warning
Headway monitoring warning
Lane deviation warning
Blind-spot detection around the vehicle
Unsafe front-distance detection

Driver face recognition

Identifies authorised drivers and prevents unauthorised vehicle use — no cards, no PINs, no manual logins.

Driver identity verified at ignition
Prevention of unauthorised vehicle use
Compatible with existing dashcam hardware
Automatic attendance records

Smart route management

Plan, monitor and adjust routes in real time, with geofencing that enforces the journey management plan rather than reporting on it afterwards.

Speed limitation and warning
Active route on e-map
Electronic fencing — departure, arrival, driving and traffic-restriction zones
Speed-limit zones
Detection of unplanned routes

Connectivity & live contact

Constant communication between vehicle, control centre and cloud platform, supporting remote monitoring and instant alerts.

3G / 4G / 5G, Wi-Fi and GPS
Live video and active alarms
Emergency button and two-way talk
Remote monitoring and instant alerts

Analytical reporting

Deep statistical reporting that turns fleet telemetry into decisions about training, routing and cost.

Vehicle route, speed and fuel statistics
Driver performance analysis
Warning and attendance statistics
Integration with PPE and safety compliance reporting

The difference

Conventional telematics vs AI fleet management

Both fit a box to the vehicle. Only one of them changes the outcome while the incident is still avoidable.

	Conventional fleet management	AGIS AI fleet management
Timing	Post-event analysis — you learn what happened.	Prevention before the event — the driver is alerted in the cab.
What it detects	Harsh braking, over-speeding, seat belt, location, possibly rollover.	All of that, plus fatigue (yawning, eye closure) and distraction (smoking, phone use).
How rules are set	A fixed threshold list, written in advance.	A self-learning algorithm that detects behaviour no rule was written for.
Road awareness	None — the box only watches the vehicle.	Forward collision, headway and lane-deviation warnings; pedestrians, signs and blind spots.
Route governance	Doesn’t track planned routes against the JMS.	Active route on e-map, geofenced zones, and detection of unplanned routes.
Driver identity	Relies on the driver logging in.	Face recognition at ignition — no cards, no PINs, no manual logins.
Who carries the load	The driver and the dispatcher, backed by stop cards.	Far less reliance on safety engineers; two-way talk to the control room when it matters.

Integration

Conventional telematics vs AI fleet management

Every AGIS project is designed to sit inside a wider estate. These are the outcomes this practice area contributes once it is integrated rather than isolated.

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