In our previous article, we explored why telematics, being widely adopted across commercial fleets, rarely influences insurance decisions.
Fleets generate valuable data daily and are ready to share. But underwriters often receive telematics after key decisions are made – as outputs they can't map to rating factors or in third-party tools that sit outside the process.
We briefly covered all the major workflows where that gap shows up and now go deeper into each, starting with selection and pricing.
Telematics (is not) in selection and pricing
When working with insurance partners on portfolio monitoring, we often see accounts that fall outside their underwriting appetite. And the question is: would they bind these policies if they had validated exposure at the moment of decision? Here are just a few examples:
Schedules vs. reality
One of our insurance partners compared the declared vehicle schedule against the telematics-based and detected 30+ additional vehicles on the road. These vehicles were covered but never reported, which affected the premium adequacy at the very least.
Outside the territory
In another review, telematics demonstrated more than 25% of exposure outside the declared home territory. The fleet’s rating assumptions were based on certain garaging location and short radius, while observed activity is priced differently.
Frequency & severity unveiled
Another insurer audited the book against their defined severity and frequency criteria, and only 45% of the portfolio was within appetite. If those exposure deviations had been visible at the time of underwriting, the carrier would not have accepted such risks.
The opposite happens too. A fleet with a poor loss history may look like a non-renewal on paper. But if telematics shows improvements over the past 12 months, the carrier gets comfortable, structures the right coverage, and retains a fleet that’s worth keeping.
Adding telematics
Once telematics-based exposure becomes part of the underwriting workflow such cases become early visible.
It should be noted that not all of these fleets intentionally misrepresented themselves. Sometimes traditional underwriting inputs just cannot fully capture operational exposure. And in reality, exposure just changes, sometimes very often.
The problem
Selection
Underwriters select risks from applications, which describe what was declared and what happened in the past, not how the fleet actually operates.
A fleet with a clean loss history can be running aggressive schedules, operating in unfamiliar territories, or carrying unscheduled vehicles. Conversely, one bad year for a well-run fleet may ruin its renewals for the next couple of years.
The result is the same in both cases: selection decisions made on information that doesn't reflect current exposure.
Pricing
Pricing accuracy depends on exposure accuracy.
If the declared schedule is incomplete, premiums leak.
If the territory is wrong, the rate is wrong.
If the frequency and severity profile doesn't match actual operations, the technical price is wrong.
Pricing and selection errors compound over the policy term. Fleets that present well on paper get written. Fleets that actually perform well on the road get priced alongside them. Everyone gets boiled in one pot, and the portfolio slowly deteriorates, along with the loss ratio.
Selection & pricing accuracy starts with exposure accuracy
By embedding telematics into selection and pricing, those compounding errors can be caught before they ever start. It requires three things:
Availability at the moment of decision
Translation into insurance exposure
Native integration into underwriting workflows
That is exactly what Draivn does – we make the validated exposure available at the point of quote.
5 minutes to set up an account, configure underwriting appetite, and invite fleets to share data
5 minutes for a fleet to complete secure telematics sharing and for Draivn to start data processing
By the next morning, underwriters receive a clean, validated risk exposure profile built specifically for selection and pricing workflows. Instead of raw telematics feeds or disconnected driver scores, insurers receive:
Standardized exposure data mapped to underwriting-relevant parameters
Observed exposure versus underwriting appetite
Core rating factors consolidated into one view
Based on the industry’s estimates, bringing telematics into selection and pricing workflows alone can improve loss ratios on telematics-enabled books by up to 5 percentage points.
But there’s more. In the next article, we’ll discuss how validated risk exposure supports portfolio management and loss control, helping insurers move from one-time underwriting decisions to continuous portfolio visibility.
