These past few years taught commercial auto insurance one thing – the old way of managing claims is stale.
For the last decade, commercial auto has been a drain on industry performance, with combined ratios remaining above 100 in most years. Traditional pricing, underwriting, and claims workflows just haven’t kept pace.
Amid these pressures, a competitive divide is emerging between carriers that leverage data and automation and those that retain manual, siloed processes.
Rising costs and complexity are increasing claims payouts
Several factors are driving higher commercial auto claim payouts. Some of them you can’t control:
- Labor and parts costs continue to climb, increasing total claim cost.
- EV claims are more expensive and technically demanding.
Workforce shortages are pushing insurers to pay more for less experienced drivers, a dynamic linked to higher loss frequencies.
Macro trends, including social inflation, litigation financing, and evolving regulatory environments, are pushing payouts even higher.
Yet, Progressive finished the year with $8.48 billion in net income and an 88.8 CR.
How? They didn’t stop social inflation, nuclear verdicts, and they haven’t trained young, inexperienced drivers across the country.
Our assumption: they focused on what they could control – using trusted data to make decisions and embedding it effectively into core processes, including claims.
Where claims process optimization can make a difference
You can’t change the price of the EV truck bumper, embedded with sensors and ADAS. What can be changed is how carriers respond once a loss occurs:
By switching to modern, data-enabled claims processes, carriers can pull the three important claims levers:
Faster triage: Classify accident severity and potential culpability to prioritize response, reduce downstream costs, and resolve clear-liability claims before litigation escalates.
Precise reserving: With accident description and objective crash data, insurers can estimate the true cost of a claim fast. This leads to more accurate financial planning, fewer surprises, and better control over profitability.
Fraud defense: Using objective data to shut down inflated or fraudulent claims, helping insurers challenge questionable cases early, reduce legal escalation, and focus resources on legitimate claims.
Draivn enables the transformation
We cannot control the macro pressures of 2025. But we can help you achieve stronger claims outcomes through efficiency and data accuracy.
At Draivn, we aggregate telematics, video, and contextual data into a relevant overview to enable better decisions at all claim stages:
Capture early incident data and validate claims fast.
Triage based on solid data and route claims to the most suitable team.
Ensure more informed early case reserves through advanced triaging with better data available early in the process.
Reduce claims costs through lower search costs, higher fast-close rate, and better claims outcomes.
And all the above with SOC2-grade protection across all stored and transmitted data, privacy and access controls, and event-specific onboarding.
The future of commercial auto claims belongs to insurers that integrate telematics at scale and redesign workflows around early, actionable data.
