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Catch Risk Early
Resolve Claims Faster

Predict risks early, prevent escalation, and protect portfolio profitability.

Overview

Pinpoint's claims models flag high-impact risks at the earliest possible moment — at quote, at FNOL, or during early handling, before they show up as costs. Claims teams use the signals to triage faster, allocate resources strategically, and reserve with more accuracy.

Pinpoint has provided game-changing new data to drive markedly improved loss ratios through better risk selection and claims handling.


Key Claims Benefits


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Catch Risk Earlier

Identify litigation, fraud, and large-loss claims before costs escalate.

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Act More Proactively

Allocate resources strategically to improve closure rates and outcomes.

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Portfolio Protection

Reduce severity, control costs, and safeguard profitability.

Have a question these models don't answer?

Pinpoint builds custom models for any two-outcome event, validated within 24 hours before anything goes live.

Case Studies


Results in Claims

Personal auto · 714,577 policies

3.6 pts loss ratio, year one
$218M over three years

Redirecting acquisition spend with pre-quote Loss Predictions

Personal auto · 714,577 policies

3.0 pts loss ratio, year one
$454M over three years

Severity predictions applied across a 715k-policy book

Personal auto · 130,000 claimants

+6% claimants identified
2.9x top-to-bottom spread

Attorney representation flagged at first notice of loss

Homeowners · ~300,000 policies

3.2 pts loss ratio, year one
$67M over three years

Frequency predictions at the top of the funnel

Homeowners · ~150,000 policies

3.9 pts loss ratio, year one
$35M over three years

Non-weather water risk priced before the application

Personal auto · 80,000 policies

4.6 pts loss ratio, year one
$19M over three years

Holding loss ratio while the book contracted 7%

Homeowners · 200,000 policies

7.0 pts loss ratio, year one
$335M over three years

Book roll reshaped by pre-bind Loss Predictions

Frequently Asked
Questions About Claims

How does Pinpoint’s claims optimization help carriers improve outcomes?

Pinpoint uses predictive AI models to detect high-risk claims scenarios early at the time of quote, First Notice of Loss (FNOL), or during initial handling. This enables proactive action on litigation, fraud, large-loss, and other risk factors, leading to faster resolution, better reserving, and reduced severity. 

What types of risks can Pinpoint’s claims models identify?

Our models highlight key claims risk indicators including attorney representation likelihood, litigation potential, fraud propensity, and unexpected large-loss exposure. 

Do the claims models require historical claims data to work?

No. Several of Pinpoint’s claims solutions, such as Attorney Rep Propensity and Litigation Propensity, require no historical claims data for deployment. Carriers can also model additional claim outcomes with their own experience, given the outcome data meets credibility requirements.

How do these solutions integrate with existing claims workflows?

Each model delivers predictive scores that plug into existing claims systems, either in the UI directly or in the backend through business rules and logic. They enhance current processes, enabling claims teams to allocate resources more effectively, triage high-risk cases, and set reserves with greater confidence.

What benefits can carriers expect from AI-powered claims optimization?

Pinpoint’s claims solutions reduce litigation and fraud exposure, improve and accelerate reserving accuracy, increase closure rates with faster resolutions, and align resources to risk and complexity—protecting overall portfolio performance.

Fast-Track
Profitable Growth


Data Science That Delivers Business Impact

Purpose-built AI for insurers, uniting actuarial expertise and data science to drive smarter, fairer, and more profitable decisions.