AI Use Cases
We drive excellence in underwriting with autonomous AI assistants and a cognitive data workbench that bolster risk selection processes, shrink loss ratios, and increase topline growth.
AI Assistants and Data Workbench for
Underwriting and Operational Excellence
Incorporating flexible AI assistants with risk intelligence and classification data access to
reduce premium leakage and enrich workflow productivity.
Adaptive AI Assistants
Deploy state-of-the-art AI assistants with task-oriented personas to seamlessly access proprietary risk-quality data and reinforce data-driven commercial underwriting functions.
With the ability to learn and interpret underwriting guidelines and appetite rules, AI assistants can fulfill specific workflows with unparalleled efficiency and accuracy.
Role-based AI assistants are masters of adaptation and self-correction in support of risk assessment speed and accuracy.
Predictive Underwriting
Bolsters automated risk-assessment with up-to-the-second,accurate insights into risk quality.
Boost underwriting efficiency and accelerate the quote-to-bind process by reliably leveraging publicly available structured and unstructured data.
Gain a full perspective into each exposure and manage insurance products effectively to improve profitability.
Lessor’s Risk Only
Validates business operations at a specific property with just an address.
Write occupancies with confidence, with fresh insights into tenant risk factors at a specific location.
Supplement agent submissions to prequalify tenant occupancy risks with game-changing accuracy.
Book Roll Analytics
Identifies out-of-appetite accounts and enables effective due diligence of books of business.
Understand the makeup of a book of business being considered for acquisition.
Simplify the book transfer process, improve predictability, and increase return on investment (ROI) with automated fit-gap analysis.
Exposure Monitoring
Recognizes midterm changes in the insured’s business operations,
circumstances, and exposures.
Improve profitability with access to precise risk insights across an entire book of business.
Achieve underwriting consistency with accurate understanding of portfolio characteristics.
Premium Audit
Detects changes in overall risk exposure across active policies in a portfolio.
Attain visibility into insureds’ operational changes, driven by macroeconomic and market factors, such as recession or inflationary conditions.
Determine actual exposures to risk with appropriate policyholder audits, make adjustments to premiums, and improve combined ratios.
Renewal Support
Ensure no significant changes in insureds’ risk profile before auto-renewing policies, gain insight into cross-selling opportunities, and minimize premium leakage.
Reduce loss ratios by examining policies scheduled to be renewed, based on real-time risk factors and insights.
Minimize operational expenditure by eliminating manual effort and research across the renewal process.
Related Content
Autonomous AI Assistants Expedite Commercial Underwriting
NeuralMetrics CTO Sathish Manimuthu lists four ways commercial insurance organizations can use role-based AI assistants in their underwriting processes to boost capacity and strengthen data-driven risk evaluation.
How Can AI Boost Commercial Insurance Underwriting
AI agents can support underwriters with nuanced logic to quickly accomplish a range of risk-assessment tasks. According to Sathish Manimuthu, NeuralMetrics CTO, AI assistants help to increase the precision and productivity of underwriting teams.
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Autonomous AI agents can cost-effectively support underwriting processes by acting as intelligent assistants that learn and adapt to make designated risk-assessment decisions and execute appropriate actions without direct involvement from underwriters.
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The A-Star Platform’s ‘SAMA’ autonomous AI agents can learn, adapt, and self-correct instantaneously to set new standards in data-driven risk analysis for commercial underwriting.
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Powered by generative AI and enriched Large Language Model support, an underwriting data workbench allows commercial underwriters to access and manage detailed, actionable risk insights from the web in real time.
How Generative AI Changes LRO Insurance Workflows
Generative AI empowers insurers to fully understand Lessor’s Risk Only (LRO) exposures. Instant, fully sourced, AI-enabled data can clarify tenant occupancy risk factors, streamline underwriting processes, and identify portfolio growth opportunities for insurers.
NeuralMetrics Offerings
In production today with multiple tier one property/casualty insurance organizations, NeuralMetrics engines deliver focused intelligence for risk evaluation — to facilitate accurate, transparent commercial lines underwriting.
Case Study: Fortune 100 P&C Insurer Streamlines Agent Submissions
With the NeuralMetrics Classification and Risk Intelligence Data Engines, the insurer automated data entry and classification processes across 70% of small commercial accounts, providing an efficient and precise quote for agents and their policyholders.
NeuralMetrics Provides Lessor’s Risk Only (LRO) Data for Commercial Underwriters
Powered by generative AI and Large Language Models (LLM), the NeuralMetrics risk-quality data platform offers detailed, dynamic information on tenant occupancy exposures. The LRO data solution facilitates efficient validation of tenant business operations and associated risk factors.
Seven Ways to Boost Commercial Underwriting Capabilities
Carriers that embrace AI-empowered data for risk assessment can gain enhanced underwriting results and significant growth, according to Sathish Kumar Manimuthu, chief technology officer at NeuralMetrics (free registration required for access to the article at propertycasualty360.com).
How to Balance Speed and Accuracy in Commercial Lines Underwriting
Carriers must consider the impact of both speed and accuracy in deploying a range of underwriting data for timely, precise risk evaluation, says Dr. Simi George, chief data officer at NeuralMetrics (guest registration required for access to the article at dig-in.com).
Commercial Underwriting Needs Real-Time Data and Transparency
In a detailed interview with Carrier Management, NeuralMetrics CEO Prakash Vasant discusses how the company leverages AI to deliver fast, accurate, and transparent data in support of insurer underwriting and lead generation.
The Need for Transparency in Underwriting
NeuralMetrics CEO Prakash Vasant discusses how transparency can enable more accurate, efficient underwriting, better customer service, and accelerated business growth.
Augment risk assessment accuracy and efficiency, accelerate submission processing, and boost profitability.