The role of agentic AI in fleet operations is constantly evolving, and we’re exploring the highest level of automation that currently exists in this helpful Q&A section. Learn what AI can do to relieve your fleet managers of more time, and how human error is systematically being eliminated from fleet operation reporting.
Agentic AI represents the next evolution in fleet software, moving beyond simple automated alerts to proactive problem-solving. By continuously analyzing high-frequency telematics and video streams, agentic workflows identify complex operational bottlenecks and execute multi-step solutions.
This includes automatically re-routing vehicles around major road hazards, drafting stakeholder performance reports, flagging fuel theft anomalies, and streamlining daily driver schedules to reduce administrative workload.
Agentic AI improves efficiency by speeding up the fleet manager’s administrative tasks. It also uses quick calculations to work out optimised routes, better schedules, and fuel saving strategies. Agentic AI can also gather real-world coaching material for a more focused driver coaching approach.
No fleet AI system is fully autonomous, but based on real-time events like weather, damaged roads and traffic congestion, automated AI will always assign your drivers with the safest and quickest routes.
When you implement automation through the means of AI agent technology into your fleet, you’ll benefit through:
The challenges that currently exist when fleets adopt AI-powered fleet software is that it’s hard to find one that delivers on its promises. Many providers claim “agentic AI FMS”, but don’t make it clear that it still needs humans to operate. Another challenge is that after adoption of AI fleet technology, it can be difficult to get the software to integrate with existing systems & processes.
Cartrack’s system is already designed with agentic AI in place (as far as current technology advancements will allow). It’s also adaptable to improvements that Cartrack’s team of developers are constantly working on to make the fleet manager’s job easier.
AI agents are something you configure and deploy to perform a certain task. Regular AI is simply a preset function that performs a particular task using algorithmic calculations. Bot-powered decision making is a promised feature of agentic AI, but ultimately the fleet manager is still needed for making final decisions.
A good example of AI automation in a fleet is the mining company Bukit Asam in Indonesia. They use AI vehicle cameras to detect unsafe driving practices and obstacles that could prove fatal to vehicle operators. They use the same technology from Cartrack to monitor their fuel and detect anomalies, as well as for general telematics for daily, weekly, and monthly decision making.
No, fleet managers are still very much required to monitor, operate and control a fleet management system even when it has built-in AI. Fully autonomous agentic AI hasn’t been developed for fleets yet, and some believe that it never will be.
If you want to get started with automation processes for your fleet, start by listing some of the tasks you want to automate. Then call Cartrack and speak to us about the best AI solutions for those challenges.
