The transportation industry has always been quick to hire more people to solve emerging business problems rather than chasing new technology trends. And for good reason.

New technology is expensive, margins are always thin, and mistakes can have massive real-world consequences. Additionally, change management could extend an already stretched-thin workforce past its breaking point. Fleets cannot afford to be early adopters of unproven solutions.

Our industry has abandoned this cautious status quo mindset and has entered a new period of rapid experimentation with AI. Today, it’s common for fleets to deploy numerous AI agents to create new efficiencies and automate back-office workflows.

When a contract is mis-executed, or a carrier is incorrectly flagged, someone must explain what happened and why. In a multi-agent system, the audit trail can become an unwieldy maze and a challenge to pinpoint exactly where the breakdown happened.

Unmanaged AI adoption creates compounding security risks for fleets

As AI becomes embedded throughout transportation operations, many are unintentionally creating a new type of fragmentation that poses serious security risks to the supply chain.

Instead of deploying one secure AI agent that can automatically use data to connect all workflows and operations, organizations are accumulating dozens of disconnected AI tools that work independently across different data sources and security standards.

In fact, a study by Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027 due to governance and accountability complexities.

Today’s off-the-shelf consumer-grade AI tools are inexpensive and easy to access, but at their foundation, most are unfit for logistics. When deployed without second thought, the result is a tech environment that may look more advanced on paper but is not necessarily more efficient, secure, or manageable in practice.

Many of these AI tools lack real security oversight and often work around security controls in an attempt to complete requested tasks. True security enforces boundaries without compromise.

The “slap it on” AI strategy that many companies are using to try to move faster is opening a Pandora’s box of risk and security threats that could be avoidable.

One secure AI agent for fleet operations and data security

One thing is clear: If we are to continue down the path of safely embracing agentic AI, fleets must rethink the vast array of AI tools that they have been collecting for their operations.

With safety and efficiency as drivers of technological innovation, our industry should begin moving toward the seamless integration of a single, secure AI agent that integrates with all business aspects, including third-party software, telematics, and automated workflows, with uncompromising security standards.

For a single AI agent to be successful, security is paramount. Replacing a dozen separate agents (and audit trails) with one will strategically eliminate most of the governance and accountability complexity organizations experience today.