How AI is preventing collisions, driving productivity, and transforming physical operations

Accurate AI defines the future of fleet-based organizations

· TechRadar

Opinion By Nyanya Joof published 21 December 2025

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Running physical operations has never been more complex. Costs are rising, regulations are tightening, and risks are everywhere.

Roads are more dangerous, collision-related costs are climbing, and most teams still rely on disconnected fleet management and workforce systems that create blind spots and force reactive decisions.

Without real-time visibility into driver behavior and road conditions, preventable incidents occur, risks go unnoticed, and productivity stalls under the weight of rising premiums, manual work, and operational inefficiencies.

Nyanya Joof

UK Regional Vice President, Motive.

It’s no surprise that 70% of organizations cite worker safety as a top concern. And in the UK, these pressures are even more acute: rising fuel and insurance costs, a 200,000 Heavy Goods Vehicle (HGV) driver shortage, and nearly 130,000 incidents in 2024 underscore the urgent need for smarter, safer operations.

This is where AI is becoming indispensable. It can observe drivers in real time, surface unsafe behaviors the moment they occur, and give safety managers the tools to prevent collisions before they happen.

By automating and optimizing manual workflows and providing actionable insights, AI tools can help organizations reduce risk, eliminate disputes and theft, and operate more efficiently—all while keeping drivers, vehicles, and assets safer on the road.

Why Does Accurate AI Matter So Much?

Accurate AI is more than a technical benchmark—it’s a life-or-death standard.

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