AI-Powered Insurance
Underwriting Automation
Innovation by and for actuaries, with the accuracy and efficiency of advanced AI
Overview
AI underwriting reshapes insurance by accelerating decision-making, streamlining application flows, and improving risk assessment. While features like automated eligibility streamline processes, concerns about “speed versus accuracy” slow adoption.
Our underwriting solutions merge actuarial expertise with advanced predictive modeling to optimize each stage of the process: from eligibility screening to risk classification and pricing. Models are regulatory-compliant, customizable, and independently validated, delivering fast, accurate, and consistent results.
Science-Backed
Solutions to Accelrate
Underwriting Efficiency.
Our models are compliant, precise, data-driven, customizable, and independently validated – quick, thoughtful underwriting without sacrificing accuracy.
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Speed Meets Accuracy
Combining traditional risk scoring with underwriting risk modeling, Pinpoint Predictive’s eligibility determination software delivers automated underwriting trustworthy decisions and reduces processing time while keeping accuracy and compliance intact.
- Cut down manual reviews with automated risk assessments
- Make instant eligibility decisions that stay aligned with underwriting guidelines
- Reduce exposure to higher-risk business
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Make Every Quote Count
Our comp rater optimization lets carriers design a comparative rating strategy that drives efficiency and profitability. Our models pinpoint which customers should receive competitive quotes, cutting costs from unqualified submissions and ensuring each offer aligns with financial goals.
- Return quotes only to business that meet profitability targets
- Suppress higher-risk or lower-margin quotes on selected rater platforms
- Boost bind ratios by reducing quote dilution
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Modernize your application process.
AI-powered decisioning models analyze application data in real time to determine the most appropriate processing path with our Straight Through Processing (STP) strategy that modernizes your application workflow.
- Route applications based on risk and complexity instantly
- Reduce friction for low-risk customers
- Apply appropriate scrutiny to higher-risk submissions
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Match Payment Plans to Customers
Our Payment Plan Fit helps carriers precisely match payment plans to customers. Using loss predictions and optional risk scores, our solution supports risk-based payment plans and payment structure optimization to protect your book of business and improve retention.
- Reduce non-pay cancellations by aligning payment structure with risk
- Identify low-risk policyholders who could benefit from more flexible Policy Payment Options
- Support profitability through tailored Payment Options Strategy and segmentation
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Maximize Inspection Efficiency
Our inspection prioritization solution helps carriers optimize how they deploy inspection resources. Using risk-based models, including loss predictions and optional inspection outcome risk scores, our system ranks new and renewal policies based on expected exposure and the likelihood that an inspection is needed.
- Focus inspection resources on the most at-risk properties
- Reduce unnecessary inspections for low-risk policies
- Align inspection strategy with risk insights to improve overall loss ratios
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Protect Your In-Force Premium
Our Renewal Likelihood model helps identify which customers are at risk of non-renewal, including those with in-force policies. Through predicting retention behavior, you can implement targeted campaigns and personalized engagement that protect existing premium and strengthen relationships.
- Enable proactive retention outreach and agent prompts
- Safeguard in-force premium through early intervention
- Align renewal strategies to customer likelihood to stay
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Predict & Prevent Early Policy Loss
Our Cancellation Risk model empowers carriers to anticipate early policy cancellations: whether within 30, 60, 90, or 180 days or due to specific factors such as non-pay or voluntary cancellation. The policy cancellation prediction capability uses near-term cancellation risk scoring to identify customers requiring proactive attention.
- Reduce short-term churn with tailored interventions
- Focus on non-pay or voluntary cancellations
- Automate planning and mitigation as your business scales
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Uncover Risks That Slip Through Underwriting
Our Policy Characteristic Insights model detects and classifies high-impact property or policy traits – such as swimming pools, wood stoves, or rental exposure – that are overlooked or difficult to capture. Hidden property risk detection capability gives carriers a clearer view of exposures that can drive loss and underwriting leakage.
- Enhance underwriting accuracy on new and renewal books
- Reduce inspection surprises and prevent underwriting leakage
- Improve segmentation and pricing at scale
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Optimize Every Portfolio Decision
Our Book Roll & Book Review Insights solution streamlines insurance portfolio analysis, automatically identifying high expected loss ratios, expected lifetime value, and other customizable metrics that matter to your business. This capability enables carriers to objectively benchmark portfolio decisions, compare performance across segments, and surface both high-performing and underperforming books.
- Benchmark portfolio decisions with objective insights
- Identify top- and bottom-performing segments
- Optimize book roll and retention strategies
Key Underwriting Benefits
Faster Decisions
Accelerate underwriting with automated, real-time insights.
Precision Accuracy
Actuarial expertise + AI for consistent, risk-aligned results.
Smarter Resource Use
Cut waste, optimize effort, and boost underwriting ROI.
Case Studies
Predictive Power at Work
Auto Case Study: Loss Cost Model to Optimize Marketing Spend
Pinpoint helped reduce Loss Ratio by 4 points on personal auto Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 714,577 Average Premium: $2,495 Use Case Focus: Customer Acquisition Challenges for Auto Insurers: The combined ratio for personal auto has worsened from 92.5% in 2020 (the best result in 25 years) to [...]
Auto Case Study: Claims Severity Predictions
Pinpoint helped reduce Loss Ratio by 3 points with Claims Severity Predictions Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 714,577 Average Premium: $2,495 Challenge for Auto Insurer: A national auto insurance carrier looked to augment their modeling and solve the problem of balancing business against increasing claim payouts, increasing costs [...]
Auto Case Study: Litigation Risk Scores
Pinpoint Helped Identify an Additional 6% of Claimants Likely to Seek Attorney Representation Client: National Auto Insurance Insurer Line of Business: Auto Insurance Model Trained: 130,000 Claimants Use Case Focus: Claims and Litigation A national insurance carrier partnered with Pinpoint to receive Risk Scores identifying the likelihood of Third-party Claimants to seek Attorney Representation. With [...]
Home Case Study: Claims Frequency Prediction to Optimize Growth
Pinpoint helped reduce Loss Ratio by 3 points to optimize profitable growth Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: ~300,000 Average Individual Premium: $2,900 A national home insurance carrier partnered with Pinpoint to receive Loss Predictions at the top of the funnel (before the customer journey begins). Their current [...]
Home Case Study: Loss Cost Prediction to Reduce Non-Weather Water Losses
Pinpoint helped reduce Loss Ratio by 4 points during pre-application Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: ~150,000 Average Individual Premium: $1,291 A national home insurance carrier partnered with Pinpoint to receive Loss Cost Predictions at the top of the funnel (before the customer journey begins). Their current models [...]
Auto Case Study: Loss Cost Prediction to Optimize Growth
Pinpoint helped reduce Loss Ratio by 4.6 points by focusing on Individual Drivers Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 80,000 Average Premium: $1,500 Challenges for Auto Insurer: A national auto insurer partnered with Pinpoint on generating Loss Cost predictions to better understand the profitability on individual drivers and identify [...]
Home Case Study: Claims Frequency Predictions for Book Acquisition
Pinpoint helped reduce Loss Ratio by 7 points by focusing on Book Acquisition Strategy Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: 200,000 Average Premium: $2,813 Use Case Focus: Book Roll A national home insurance carrier used Pinpoint's platform to generate Loss Predictions. Their existing models were only available after the [...]
Frequently Asked
Questions
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From Our Partners
Michael Lorion
CEO
“Pinpoint’s explainable visualizations reveal what drives human behavior, and also the interesting reasons why conventional data have missed the signal on this important issue. We see this as an important step forward in predicting behavior and ultimately reducing frictional costs and premiums.”
Vern Kirchhoff
SVP of Data Analytics
“Pinpoint’s automated platform unlocked 7 points of Loss Ratio improvement for our homeowners book for a 1-year implementation and, over the longer term, a larger bottom-line benefit as more of the book takes on the selected risk contours. The new signal we validated represents one of the largest boosts in predictive performance I’ve seen in the industry in 30 years.”
Michael Pauletti
Senior VP & Chief Pricing and Actuarial Officer
“Pinpoint’s deep-learning platform allowed us to predict non-cat homeowners’ losses at the beginning of the customer journey for the first time. Moreover, this score adds a remarkable new incremental lift above and beyond our rating model; it’s one of the most predictive factors we’ve seen.”
Analytics Team
“Pinpoint has provided game-changing new data to drive markedly improved loss ratios through better risk selection and claims handling.”
Rick Carter
Vice President, Analytics
“Above and beyond our latest pricing models, Pinpoint’s scores show material predictive lift for personal auto pure premiums. These are impressive results relative to other emerging vendor data offerings.”
Chad Combs
VP of Personal Lines, Underwriting
“Pinpoint provided significant predictive advancement in the identification of a highly important loss exposure. This enables Ohio Mutual to better identify premium leakage and loss mitigation opportunities in our Homeowners book.”
Chris Strohl
Vice President, Underwriting
“We’re excited to partner with Pinpoint as we look at the opportunity to get deeper insights into our customers and understand risks based on individual behaviors. Pinpoint’s deep learning capabilities are a game changer for us to better serve our customers and agents.”
Alice Robinson
Chief Actuary
“After just a few weeks of evaluating Pinpoint’s custom loss scores, we saw a significant improvement in loss ratio, and in predictive performance in our non-pay cancel model. In addition, the explainability of lift in predictive power yielded valuable insights. The Pinpoint team is helpful, knowledgeable, and easy to work with.”
Greg Godshall
President and CEO
“Pinpoint’s actuarial loss predictions will enable us to orchestrate the best experiences for agents and our customers, reducing friction and creating the ability to micro-segment leads like never before”
Fast-Track
Profitable Growth
Data Science That Delivers Business Impact
Pinpoint is an AI company purpose-built for insurers. We combine deep actuarial expertise with modern data science to solve real-world problems across underwriting, marketing, and distribution. Our mission is simple: make insurance more precise and more profitable—one model at a time.