Insurance is not changing its mission. It is evolving alongside the mobility ecosystem.

Over the past few years, the mobility market has changed at an extraordinary pace. Increasingly connected vehicles, new usage models and digital services are continuing to reshape the way people move. The insurance industry is evolving as well, because protection inevitably accompanies every transformation in mobility.

The most significant change, however, does not concern the role of insurance companies. It concerns the way protection is becoming part of the mobility experience, evolving into one element within a broader ecosystem of services.

For many years, the relationship between insurers and customers was relatively straightforward. Insurance policies were standalone products, purchased through one of the available distribution channels and managed separately from the other services associated with mobility.

Today, that distinction is becoming increasingly blurred.

Across many industries, value no longer depends solely on the quality of an individual product, but increasingly on the ability to combine different services into a seamless, integrated experience. This evolution has already transformed a wide range of sectors and is now reshaping mobility as well.

Against this backdrop, vehicle manufacturers, leasing and rental companies, and mobility platforms are progressively embedding insurance services into their offerings to deliver a more immediate and integrated customer experience. The objective is not to replace insurers, but to enhance protection as part of increasingly comprehensive mobility services. The capabilities required to underwrite risk, develop actuarial models, operate within a regulated environment and manage claims remain the distinctive strengths of insurance companies. It is precisely this expertise that continues to make insurers a central partner in these new models of collaboration.

Competitive advantage can no longer depend solely on the quality of the insurance product. It increasingly depends on the ability to build effective partnerships between insurers, vehicle manufacturers, mobility operators and technology providers, combining complementary expertise to address increasingly complex customer needs. For this model to succeed, all participants in the ecosystem must share one essential asset: a common understanding of mobility.

Every day, mobility generates millions of data points and signals. Their value does not lie in simply collecting them, but in transforming them into shared knowledge. Achieving this requires reliable, contextualised and continuously updated information capable of describing what happens throughout a vehicle’s journey: how it is driven, which risk situations occur, how driver behaviour evolves and which events require immediate action.

It is this shared knowledge that makes collaboration possible between industries that, until only a few years ago, operated largely independently. Technology, therefore, is not the end goal of this transformation. It is the infrastructure that enables insurers, vehicle manufacturers, mobility operators and service providers to speak the same language and create truly integrated customer experiences.

Looking at the market from a broader perspective reveals an important point that is often overlooked: value is not shifting from one player to another. It is being created through collaboration between different areas of expertise. Insurance companies contribute their ability to manage risk, OEMs provide increasingly connected vehicles, mobility operators deliver new services, and technology providers transform data into actionable knowledge.

For insurers, this evolution represents above all an opportunity. The transformation of mobility is creating new customer touchpoints and new opportunities to embed protection into increasingly seamless and personalised experiences, extending far beyond the traditional moments of policy purchase or claims management.

The direction is now becoming clear. Innovation will not depend solely on the quality of individual technologies or products, but on the ability to connect expertise, data and services. Rather than witnessing the transformation of insurance itself, we are witnessing the transformation of the environment in which insurance creates value. And it is precisely this ability to collaborate that will shape a significant part of the industry’s competitiveness in the years ahead.

Artificial Intelligence has become part of the everyday conversation across virtually every industry. We hear about increasingly sophisticated algorithms, predictive models and automated decision-making. In the telematics world, AI is often portrayed as the technology that will change everything—or almost everything.

But what truly makes Artificial Intelligence intelligent is data.

• Not its quantity.
• Its quality.
• Its depth.
• Its ability to reflect the real world.

Because an algorithm can only learn from what it knows. And this is where telematics becomes far more than a vehicle connectivity technology.

Every time a vehicle is driven, it leaves behind a digital footprint.

• Acceleration.
• Braking.
• Cornering.
• Speed.
• Road type.
• Traffic conditions.
• Time of day.
• Driving conditions.
• Environmental context.

To a human, these are simply pieces of information.

To Artificial Intelligence, they are pieces of a much larger picture.

The real difference lies not only in processing speed, but in the ability to put every piece of information into context. An algorithm trained on billions of kilometers driven and millions of real-world events does not simply “see” a vehicle or an accident. It interprets them by comparing them against one of the world’s largest telematics data assets.

This continuous comparison between a single event and millions of similar cases enables AI to uncover correlations that remain invisible to the human eye, assess risk with greater accuracy and support better-informed decisions across the entire insurance value chain.

For insurers, this translates into tangible business value: more accurate risk assessment, faster claims handling, the ability to detect anomalies that traditional approaches might miss, and better decision-making throughout the insurance lifecycle.

From underwriting to claims: when data becomes a competitive advantage

Artificial Intelligence is transforming every major area of insurance telematics. It enhances risk assessment through predictive models capable of understanding real driving behavior, moving beyond traditional underwriting approaches based primarily on demographic information and claims history.

It can automatically verify accident dynamics within seconds, accelerating claims management while improving the quality of information available from the very first moments after a crash. It helps identify anomalies and recurring patterns that may indicate fraudulent activity. It can estimate damage severity, prioritize interventions and improve efficiency across the entire insurance value chain.

Across all these applications, the underlying principle remains the same.

Artificial Intelligence does not make decisions instead of people. It enables people to make better decisions.

But AI alone is not enough

Over the past few years, AI algorithms have become increasingly accessible. Today, having Artificial Intelligence is no longer the differentiating factor. Having the right data to make it truly effective is.

There is a fundamental difference between training a model on limited datasets and developing it on a knowledge base built through more than twenty years of real-world telematics experience.

Today, OCTO has profiled more than 20 million drivers and manages the world’s largest telematics database, built on 610 billion kilometers of driving data and more than 13 million validated crashes. This unique data asset forms the foundation for OCTO’s proprietary Artificial Intelligence and Machine Learning models supporting Risk Scoring, claims management, fraud detection, connected mobility and predictive analytics.

This is not about computing power. It is about experience. Artificial Intelligence is becoming increasingly accessible to everyone. A data asset built over more than twenty years of real-world telematics experience is not.

Every new journey, every new event and every new validated crash enriches this body of knowledge, continuously improving the accuracy of the models and making future decisions even more reliable.

Telematics insurance policies are now a well-established part of the insurance landscape in many markets. Yet they are still surrounded by doubts, misconceptions and, in some cases, only a limited understanding of what they can actually offer.

So, what are the main reasons to adopt them? And what are the objections that continue to slow their adoption?

We decided to put both sides on the table. With a touch of irony.

• Because the way you drive really matters.

For many years, insurance risk has been assessed primarily through factors such as age, place of residence and claims history. Telematics adds another essential layer of information: how a vehicle is used. This enables insurers to complement traditional underwriting criteria with objective data, leading to a more accurate and, in many cases, fairer assessment of risk.

• Because an accident won’t wait for you to call for help.

After a serious collision, every second matters. Some telematics insurance policies include automatic crash detection services that can alert emergency responders even when the driver is unable to call for assistance. A practical feature that can help reduce response times when they matter most.

• Because recovering a stolen vehicle is better than simply hoping for the best.

Vehicle theft is always an unpleasant experience. When a policy includes vehicle tracking and recovery services, the chances of recovering the vehicle quickly increase, reducing disruption and minimising downtime.

• Because data can help create fairer premiums.

Two drivers with the same age, postcode and insurance history may have completely different driving habits. By integrating telematics data, insurers can build pricing models that better reflect actual risk, enabling more personalised underwriting.

• Because preventing a claim costs less than handling one.

Telematics doesn’t only come into play after an accident. It can also help prevent one by identifying risky driving behaviours and, in some solutions, providing feedback that encourages safer and more responsible driving. After all, the best claim is the one that never happens.

• Because claims management can become much simpler.

Objective data collected at the time of an accident can help speed up the reconstruction of events and streamline the entire claims handling process, creating benefits for both policyholders and insurers.

• Because today data helps us understand what we once could only estimate.

Telematics doesn’t replace insurance expertise—it enhances it. Data enables insurers to better understand how mobility is evolving, develop more effective products and make decisions based on evidence rather than assumptions. The result is more advanced services and better outcomes for policyholders.

For insurance companies, these benefits are now widely recognised. Among motorists, however, a few persistent myths remain.

Let’s take a look at the most common ones.

1. Because you’d rather pay the same premium as someone who drives far worse than you do.

After all, it’s comforting to know that your premium depends more on your date of birth than on the way you actually drive. Telematics simply adds another perspective: the one provided by data.

2. Because if your car gets stolen… a little suspense keeps life interesting.

When a vehicle is stolen, time is everything. Telematics solutions that include vehicle tracking and recovery services can significantly improve the chances of getting it back quickly, reducing downtime and inconvenience. Relying entirely on luck, on the other hand, is rarely the best strategy.

3. Because waiting for help after an accident without anyone knowing what happened has its own charm.

After a serious accident, every minute counts. Automatic crash detection systems can alert emergency services even when the driver is unable to ask for help. A capability that can reduce response times precisely when time matters most.

4. Because you’re convinced someone spends their day watching where you go.

No one is interested in knowing where you stopped for your morning coffee. Data is processed in accordance with strict privacy regulations and is used to improve services, enhance safety and support more accurate risk assessment.

5. Because “we’ve always done it this way.”

For years we paid motorway tolls with cash, relied on paper maps and bought paper tickets. Today, those habits already feel like a different era.

Ultimately, the reasons for saying “no” to telematics insurance are rarely about the technology itself. They are about the misconceptions that still surround it.

Telematics doesn’t change the way we drive. It changes the way we understand risk.

When discussing insurance innovation, Kenya is probably not the first country that comes to mind. Yet it is precisely here that the widespread adoption of digital payments is reshaping the relationship between mobility and insurance. The country is widely recognised for transforming the way millions of people make payments. Today, that same model is creating new opportunities for the insurance industry, enabling solutions that are more accessible, flexible and closely aligned with the evolution of mobility.

The widespread adoption of M-Pesa, the mobile money platform used daily by a large share of the population, has fundamentally changed access to financial services. While in Europe a bank account still represents the primary gateway to insurance and other financial products, in Kenya that role has largely been taken over by the smartphone. This has paved the way for a new approach to insurance protection.

Despite this transformation, insurance penetration remains relatively low compared with more mature markets. It is precisely this limited access to insurance that has made affordability and accessibility two of the main drivers of innovation in the sector.

As in most countries, motor third-party liability insurance is mandatory in Kenya, alongside optional comprehensive policies covering theft, fire and vehicle damage. The real transformation, however, lies in how these products are distributed and purchased. Insurers have begun developing simple, flexible and affordable solutions that can be purchased directly via mobile phone, with premiums designed to remain accessible. So-called microinsurance products make insurance available to people who, until only a few years ago, were effectively excluded from the market.

Around one million vehicles circulate in Nairobi every day. Passenger cars share the roads with motorcycles used for passenger and goods transport, ride-hailing services and a wide range of informal mobility solutions, creating a highly dynamic mobility ecosystem. As urban mobility continues to expand, both road safety and risk assessment are becoming increasingly complex. In such a diverse environment, relying solely on traditional insurance models is becoming progressively less effective, increasing the need for a more dynamic and accurate understanding of risk.

This is where data begins to play a strategic role.

The evolution of mobility requires an increasingly detailed understanding of driving behaviour, infrastructure characteristics, traffic conditions and the ways people use their vehicles. Although insurance telematics is still at an early stage compared with more mature markets, the rapid digitalisation of services and the growing adoption of connected devices are creating the conditions for a gradual shift towards increasingly personalised insurance models powered by data analytics.

As more information becomes available, the challenge will no longer be collecting more data but interpreting it effectively. Understanding how people and vehicles move, which factors influence risk and how those factors evolve over time will enable insurers to develop more accurate underwriting models, deliver more effective services and implement increasingly targeted prevention strategies.

Kenya demonstrates that insurance innovation does not necessarily depend on the maturity of a market, but on the ability to address real-world needs through technology. In a country where smartphones have transformed access to financial services, data, connectivity and digitalisation are laying the foundations for a new generation of insurance services. It is a powerful example of how innovations developed to address local challenges can also provide valuable insights for more mature markets, which are increasingly being called upon to rethink the role of insurance within a connected, data-driven mobility ecosystem.