LEVL and Clockwork IT Announce AI-Driven Partnership
Coventry, UK – 16 April, 2026
LEVL Telematics, a leading provider of advanced fleet management and telematics solutions, today announces a strategic partnership with Clockwork IT, an innovative provider of AI-powered field service management software.
This partnership brings together two complementary technology leaders to deliver a fully integrated solution that connects fleet intelligence with field service operations – unlocking new levels of efficiency, automation, and insight for customers across the UK.
A Two-Way Partnership Driving Customer Value
Under the agreement:
- LEVL Telematics will offer Clockwork IT’s field service platform to its growing customer base, enabling businesses to digitise and optimise their field operations.
- Clockwork IT will offer LEVL’s telematics and fleet intelligence solutions to its customers, providing real-time vehicle data, driver insights, and operational visibility.
This two-way partnership ensures both companies’ customers benefit from a seamless, end-to-end ecosystem -bridging the gap between vehicles, engineers, and back-office systems.
Creating a Fully Connected, AI-First Platform
The combined offering will deliver:
- Real-time fleet and job visibility across vehicles and field teams
- AI-driven scheduling and dispatch optimisation
- Automated workflows from job allocation creation through to completion and invoice
- Enhanced customer experience through faster response times and transparency
- Data-led decision making powered by integrated telematics and service insights
Together, the partnership supports businesses transitioning to AI-first operations, reducing manual processes and improving productivity at scale.
Leadership Commentary
Jan O’Hara, CEO of LEVL Telematics, said:
“This partnership with Clockwork IT is a major step forward in our mission to deliver more value to our customers. By combining telematics with intelligent field service software, we are creating a powerful, connected platform that transforms how businesses operate. This is about moving beyond tracking vehicles to truly optimising entire operations.”
Chris Aspley CEO, Clockwork IT, added:
“Partnering with LEVL Telematics is a natural fit. Our platform already gives field service businesses control over the full operational cycle – from scheduling and dispatch through to proof of work and invoice. Connecting that with LEVL’s real-time vehicle and fleet intelligence means our customers get a genuinely complete picture of their operations, and the data to make better decisions across all of it.“
A Shared Vision for Growth
As Banyan Software companies, both LEVL Telematics and Clockwork IT benefit from a shared long-term vision focused on sustainable growth, customer value, and operational excellence.
Banyan Software is a global software investor and operator that partners with high-quality, mission-critical software businesses, providing strategic guidance, operational expertise, and long-term capital to support scalable growth. Its model enables portfolio companies to retain their entrepreneurial agility while benefiting from shared best practices, technology alignment, and leadership collaboration.
This partnership reflects Banyan’s strategic approach – bringing together complementary businesses within its portfolio to unlock additional value for customers. By aligning telematics, field service, and AI capabilities across both organisations, the partnership is positioned to accelerate innovation, deepen customer relationships, and scale rapidly across key sectors including logistics, utilities, construction, and field service operations.
About LEVL Telematics
LEVL Telematics is a leading telematics provider delivering advanced fleet management solutions, helping businesses improve safety, efficiency, and sustainability through data-driven insights.
About Clockwork IT
Clockwork IT provides AI-powered field service management software for businesses with mobile field teams. The platform manages the complete operational cycle – from job creation, scheduling and dispatch through to mobile execution, proof of completion, and invoicing – giving office teams and field engineers a joined-up way to work.
Media Contact
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Discovr how AI-powered video telematics helps fleets improve safety, reduce risk and stay compliant with privacy regulations – without creating a culture of surveillance.
Video telematics privacy concerns are one of the biggest barriers to adoption for modern fleets. As organisations look to improve safety using AI-powered cameras, many are asking how they can gain visibility without creating a culture of surveillance.
But one concern continues to surface:
Is video telematics an invasion of privacy?
The answer depends entirely on how it’s implemented.
What is video telematics and how does it protect driver privacy?
Video telematics combines AI-powered cameras with vehicle data to monitor driver behaviour and improve fleet safety. Modern systems protect driver privacy by recording only high-risk events, using configurable camera settings and securing access to footage, rather than continuously recording drivers.
Is video telematics an invasion of privacy?
It can be — if implemented poorly.
Traditional camera systems often rely on continuous recording, which can create concerns around surveillance and trust. However, modern AI-powered video telematics is designed to do the opposite.
Instead of capturing everything, it focuses only on moments where risk is detected, such as harsh braking, distraction or near misses. This significantly reduces unnecessary footage and ensures that data is used for safety, not monitoring.
The difference isn’t the camera. It’s how the data is captured and used.
How video telematics balances safety and privacy
AI has fundamentally changed how video telematics works. Rather than relying on manual review of hours of footage, intelligent systems analyse behaviour in real time and surface only the events that matter.
This allows fleets to improve safety while maintaining clear privacy boundaries.
Video telematics balances safety and privacy by:
- Recording only risk-related events instead of continuous footage
- Using AI to detect unsafe behaviour in real time
- Allowing inward-facing cameras to be optional or configurable
- Securing data with strict access controls and encryption
- Focusing on coaching drivers rather than monitoring them
This approach ensures that fleets gain meaningful insights without creating a culture of surveillance.
Is video telematics legal in the UK?
Yes, video telematics is legal in the UK when implemented in line with GDPR and data protection regulations.
Fleets must ensure that:
- Drivers are informed about how data is collected and used
- Footage is stored securely and accessed appropriately
- Data is used only for legitimate safety and operational purposes
When these principles are followed, video telematics can enhance safety while remaining fully compliant with UK law.
The real problem isn’t privacy – it’s poor implementation
Most resistance to video telematics doesn’t come from the technology itself.
It comes from how it’s introduced.
If fleets position cameras as a surveillance tool, drivers will push back. If they position them as a safety and protection tool, adoption increases significantly.
Drivers are far more likely to support video telematics when they understand that it:
- Protects them from false claims
- Provides evidence in the event of incidents
- Helps prevent accidents through real-time alerts
The most successful fleets focus on transparency, communication and coaching — not control.
Video telematics vs traditional monitoring: what’s the difference?
Traditional monitoring systems rely on continuous recording and manual review. This creates large volumes of footage, increases administrative workload and raises privacy concerns.
Video telematics, powered by AI, captures only relevant safety events and provides real-time insights. This reduces unnecessary data collection while enabling fleets to take proactive action to prevent incidents.
The result is a smarter, more efficient approach to fleet safety.
What are the benefits of video telematics for fleets?
Video telematics delivers measurable improvements across safety, efficiency and cost.
The key benefits include:
- Improved driver safety through real-time alerts and coaching
- Reduced collisions and insurance claims
- Protection against false claims with video evidence
- Lower administrative workload through automated event detection
- Increased transparency and trust across the fleet
For councils and public sector fleets, these benefits are particularly important, given the high-risk environments and public accountability involved.
Common concerns about video telematics (and the reality)
Concern: Drivers are being constantly watched
Reality: AI systems only capture safety-related events, not continuous footage
Concern: Footage could be misused
Reality: Modern platforms use secure storage, encryption and strict access controls
Concern: Drivers will resist the technology
Reality: Fleets that focus on coaching and communication see higher adoption rates
How LEVL helps fleets get this right
At LEVL, we help fleets implement video telematics in a way that balances safety, privacy and performance.
By combining AI-powered video solutions such as Mantis, Lytx and VisionTrack with Geotab telematics, we provide a connected view of driver behaviour and risk – without unnecessary data collection.
Our approach focuses on:
- Real-time risk detection and driver coaching
- Configurable solutions that respect driver privacy
- Clear implementation strategies to support driver adoption
- Integration with existing fleet systems
This enables fleets to move from reactive incident management to proactive risk prevention.
Video telematics isn’t about surveillance.
It’s about prevention, protection and performance.
Fleets that get this right are not only reducing incidents, but also building trust with their drivers and improving overall operational efficiency.
Because when drivers trust the system, they use it.
And when they use it, safety improves.
Frequently Asked Questions
Does video telematics invade driver privacy?
No. Modern video telematics systems are designed to protect privacy by recording only safety-related events and using configurable camera settings.
Can inward-facing cameras be turned off?
Yes. Many systems allow inward-facing cameras to be disabled or configured based on company policy and privacy requirements.
Is video telematics suitable for councils and public sector fleets?
Yes. With secure data handling and configurable privacy controls, video telematics is widely used in public sector fleets across the UK.
How does AI improve video telematics?
AI enables real-time detection of risky driving behaviour, allowing fleets to prevent incidents rather than simply reviewing them after they occur.
What are video telematics privacy concerns?
Video telematics privacy concerns typically relate to how driver footage is recorded, stored and used. Modern AI systems address these concerns by capturing only safety-critical events and securing all data.
Ready to prevent accidents before they happen?
Improve fleet safety without compromising driver privacy. See how AI-powered video telematics can transform your operations.
From reducing accidents to lowering insurance costs, AI dash cams are helping fleets take control of risk in real time.
Fleet safety technology is evolving rapidly. While traditional dash cams once provided a major step forward in visibility, modern fleets are now shifting towards AI dash cams to improve safety, reduce risk and drive operational efficiency.
The difference is simple. Traditional cameras record incidents. AI dash cams help prevent them.
The limitations of traditional dash cams in fleet safety
Traditional dash cams have long been used across fleets to capture footage and provide evidence after an incident. They offer visibility, but they are inherently reactive.
Footage must be manually reviewed, often taking hours of administrative time. Drivers receive feedback long after the event has occurred, limiting the ability to influence behaviour in real time. As a result, traditional dash cams support investigation, but they do little to actively improve driver performance or reduce incidents as they happen.
For fleets focused on improving safety outcomes, this delay creates a significant gap between insight and action.
How AI dash cams are transforming modern fleets
AI dash cams represent the next generation of video telematics. By combining computer vision with telematics data, these systems analyse driver behaviour in real time and provide instant feedback inside the vehicle.
AI-powered driver monitoring systems can detect key risk indicators such as distracted driving, fatigue, harsh braking and unsafe following distances. When these behaviours are identified, drivers receive immediate in-cab alerts, allowing them to correct their actions before a situation escalates.
This shift from reactive recording to proactive prevention is why AI dash cams for fleets are becoming the new standard.
Real-time coaching and its impact on driver behaviour
One of the most significant advantages of AI fleet safety technology is real-time coaching. Instead of reviewing incidents days later, fleet managers can rely on systems that intervene in the moment.
This immediate feedback loop helps drivers build safer habits over time. Rather than being corrected retrospectively, behaviour is adjusted during the journey itself.
Fleets that adopt AI dash cams often see measurable improvements in driver performance, with reductions in risky behaviours and fewer on-road incidents. The value comes not just from the data collected, but from how quickly that data is used to influence outcomes.
The business benefits of AI dash cams for fleets
Beyond safety, AI dash cams deliver clear commercial benefits. By automatically identifying and prioritising high-risk events, they remove the need for manual video review, reducing operational workload and saving time.
The integration of video telematics also strengthens a fleet’s ability to defend against false claims, providing clear, contextual evidence when incidents occur. This can lead to lower insurance premiums and improved claims outcomes.
At the same time, fewer incidents mean reduced vehicle downtime, lower repair costs and improved fleet availability. Over time, this contributes to a lower total cost of ownership and stronger overall fleet performance.
A shift from reactive safety to predictive risk management
The rise of AI dash cams reflects a broader shift in how fleets approach safety. It is no longer enough to simply record and review incidents. Modern fleets are adopting predictive, data-driven approaches that focus on preventing risk before it materialises.
AI fleet safety systems enable continuous monitoring, real-time intervention and ongoing performance improvement. Safety becomes embedded into daily operations rather than treated as a post-incident process.
This shift is redefining what effective fleet safety looks like.
How LEVL supports AI-powered fleet safety
At LEVL, we help fleets implement AI dash cams as part of a connected safety ecosystem. By integrating leading video telematics solutions such as Mantis, Lytx and VisionTrack with Geotab’s telematics platform, we provide a unified view of driver behaviour, vehicle performance and risk.
This approach enables fleets to move beyond basic monitoring and towards predictive risk intelligence. With real-time insights and automated coaching, organisations can take a proactive approach to safety while improving operational efficiency.
Conclusion: the future of fleet safety technology
Traditional dash cams laid the foundation for fleet visibility, but AI dash cams are defining the future of fleet safety.
Fleets that continue to rely solely on reactive systems risk falling behind. Those adopting AI-powered video telematics are gaining the ability to prevent incidents, improve driver behaviour and reduce operational costs.
Ready to prevent accidents before they happen?
Book a demo and discover how modern fleets are using AI-powered video telematics to reduce collisions, improve driver behaviour and lower operational costs.
Using telematics data and AI monitoring to identify early fatigue indicators, prevent incidents and reduce commercial risk.
The Risk That Doesn’t Appear on a Spreadsheet
Driver fatigue detection for fleets rarely shows up on a monthly report. There is no line item labelled “reduced concentration” or “micro-lapse in awareness”. Yet its impact is felt across operations – in collisions, in downtime, in claims and ultimately in rising insurance premiums.
For many fleets, fatigue is treated as an unavoidable side effect of long shifts and tight schedules. In reality, it is a measurable and manageable commercial risk. With modern telematics and AI monitoring, fatigue is no longer invisible. It can be detected early, analysed over time and reduced before it becomes an incident.
Why Fatigue Is a Commercial Issue
Fatigue affects reaction time, hazard perception and decision-making. Even minor reductions in alertness increase the likelihood of rear-end collisions, lane drifting or harsh braking events. While these may appear isolated, they form part of a wider behavioural pattern that insurers increasingly examine when assessing fleet risk.
The financial consequences extend beyond a single claim. Vehicles are taken off the road, delivery schedules are disrupted and operational costs rise. Insurance renewals become more difficult to negotiate. In some cases, reputational damage follows.
This is why fatigue should sit on the agenda of Operations Directors and Finance leaders – not just Transport Managers. It is a cost multiplier.
The Behavioural Patterns Fleets Often Overlook
Fatigue rarely manifests as a single dramatic event. Instead, it builds gradually and reveals itself through behavioural trends.
Extended driving duration without sufficient breaks, increasing harsh braking over time, inconsistent speed control, late-night driving patterns or a steady decline in driver performance scores can all signal elevated fatigue risk. Individually, these data points may seem minor. Collectively, they indicate exposure.
Without telematics visibility, these signals remain hidden until an incident forces attention.
How Telematics Makes Fatigue Measurable
Modern telematics platforms such as Geotab collect and analyse vehicle and behavioural data in real time. This includes trip duration, acceleration patterns, braking intensity, route history and driving hours.
The power lies not simply in recording this information, but in identifying trends.
When a driver who typically maintains strong safety metrics begins to show increased harsh events or longer operating periods, the system highlights deviation from baseline performance. This allows fleet managers to intervene early, whether through coaching, workload adjustment or rest scheduling.
Rather than responding to collisions, fleets can respond to risk indicators.
The Added Value of AI Video Monitoring
While telematics data reveals behavioural patterns, AI-enabled video systems add contextual intelligence. Integrated camera solutions can detect distraction, mobile phone usage or signs of fatigue and provide immediate in-cab alerts.
This real-time feedback loop transforms safety from passive reporting into active prevention.
Importantly, when implemented correctly, AI monitoring supports drivers rather than policing them. Alerts act as protective prompts, helping drivers regain focus before an incident develops. At the same time, recorded footage provides clarity during disputes, protecting both the driver and the business from false claims.
The combination of data insight and visual intelligence creates a comprehensive safety framework.
Moving From Reactive to Predictive Risk Management
Historically, fleet safety has been reactive. An incident occurs. It is investigated. A claim is submitted. Insurance costs rise. Additional training follows.
This approach accepts loss as part of the process.
Predictive risk management challenges that assumption. By identifying fatigue indicators early and addressing behavioural trends before they escalate, fleets reduce both the frequency and severity of incidents.
This shift has a measurable commercial impact. Fewer collisions mean less downtime. Reduced claims support stronger insurer relationships. Consistent behavioural monitoring strengthens a fleet’s overall risk profile.
The operational model changes from “manage the damage” to “prevent the damage”.
The Financial Impact of Proactive Fatigue Management
When fatigue risk is actively managed, improvements extend across the organisation.
Collision frequency typically declines as behavioural coaching becomes more targeted. Vehicles spend less time in repair. Claims disputes are resolved more quickly with supporting footage and data. Insurers view the fleet as a lower exposure risk.
These benefits compound over time.
Even modest reductions in incident frequency can translate into significant annual savings across fuel, repairs, insurance and lost productivity. For larger fleets, the difference can be transformational.
Safety investment becomes cost control.
Creating a Culture of Prevention
Technology alone does not reduce fatigue risk. It must be paired with clear communication and leadership.
Drivers should understand that monitoring systems exist to protect them. When fatigue alerts are positioned as safety support rather than surveillance, engagement improves. Coaching conversations become constructive rather than corrective.
Over time, a culture of prevention develops. Drivers recognise early signs of fatigue themselves. Managers have objective data to support scheduling decisions. Safety becomes embedded within operations rather than imposed upon them.
This cultural shift is where long-term resilience is built.
Understanding Your Fleet’s Exposure
Many fleets assume fatigue is under control simply because no major incidents have occurred recently. However, absence of evidence is not evidence of absence.
The critical question is whether behavioural trends are being monitored consistently. Can you identify drivers operating beyond safe thresholds? Are deviations from baseline performance flagged automatically? Do you have data to support your insurer conversations?
If these insights are not readily available, unseen exposure may exist within your operation.
Visibility is the first step towards control.
How LEVL Supports Proactive Fleet Safety
At LEVL Telematics, our approach extends beyond device installation. We work with fleets to configure meaningful safety rules, interpret behavioural trends and embed data-driven coaching into everyday operations.
By combining telematics data with AI video insight, we help businesses move from passive monitoring to active risk reduction. Our focus is practical implementation – ensuring that data translates into measurable commercial outcomes.
Reducing fatigue risk is not about adding complexity. It is about using existing vehicle data intelligently and consistently.
The Cost of Inaction
Driver fatigue will always exist as a factor within fleet operations. The difference today is that it no longer has to remain undetected.
Telematics and AI monitoring provide the visibility required to identify early warning signs, support safer driving behaviour and reduce the likelihood of costly incidents.
For fleets committed to long-term resilience, prevention is no longer optional. It is strategic.
The real question is not whether fatigue is affecting your fleet.
It is whether you are actively managing it.
Ready to understand your fleet’s true risk exposure?
Book a demo with LEVL Telematics and discover how AI-powered telematics can help you move from reactive to preventative safety management.
Season’s Greetings
Looking Ahead: Smarter, Safer and More Connected in 2026
As we wrap up 2025, we want to thank all our customers, partners and suppliers for being part of another milestone year. Your collaboration continues to push us forward and shape the solutions we build.
Our offices will close at 1:00pm on Wednesday, 24 December, and reopen on Friday, 2 January 2026.
Should you need urgent help while we’re away – say, if Santa’s sleigh needs a quick diagnostic – our team will be monitoring [email protected] for urgent issues only.
You can also get support on your MyGeotab dashboard via 24/7 live chat.
In 2026, our focus turns to creating even smarter, more connected fleet experiences. Expect advancements in automation, deeper operational insights and new tools designed to help your organisation work faster, safer and more sustainably.
Thank you for your continued trust. Here’s to an innovative and opportunity-filled 2026.
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