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Governing the Edge: Automating Commercial Property and Casualty Insurance Underwriting via a Hybrid Local-Cloud Multi-Agent Framework

arXiv:2609.37454v1 Announce Type: new Abstract: Underwriters in commercial Property and Casualty (P&C) insurance spend 30 to 40% of their time on administrative work rather than risk judgment, and a s

model-releasesarxiv-cs-ai

30 Sept 2026

Search: “insurance”

From Control Boundary to Insurance Claim: Reconstructing AI-Mediated Losses Through the CER Framework

Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance

AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

Insurance of Agentic AI

TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection

Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection

InsClaimBench: Benchmarking Insurance Claim Adjudication Across the Decision Chain

Insurance Reserve Intelligence Platform

PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance

Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance

An Industrial-Scale Insurance LLM Achieving Verifiable Domain Mastery and Hallucination Control without Competence Trade-offs

Insurance Pricing Optimization via Off-Policy Evaluation

Is TabPFN the Silver Bullet for Insurance Pricing?

Governing the Edge: Automating Commercial Property and Casualty Insurance Underwriting via a Hybrid Local-Cloud Multi-Agent Framework

Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses

Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique

Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection

LSTM-Based Detection of Structural Breaks in Property Insurance Loss Reserving: A Climate-Informed Approach

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence

Your SaaS Is an Insurance Product: A Modeling Framework

The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions

When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic Underwriting

Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents

InsurTech innovation using natural language processing

Listwise Cross-Encoder Fine-Tuning vs. Agentic Instruction Tuning for LLM Rerankers: A Systematic Study in Medical Procedure Reranking

Device-Native Autonomous Agents for Privacy-Preserving Negotiations

A Practical Guide on Graphical Model Validation

Et Tu, Brute? Economic Misalignment in Personal AI Agents

Alliance Beats Isolation: Unifying Heterogeneous Allied Datasets Improves Classifier Performance

Open-Set Cattle Muzzle Identification: A Leakage-Controlled Benchmark and Evaluation Protocol

DySCo: Dynamically consistent data-driven downscaling of extremes in climate projections

Safety-Aware Cascaded Inference for Crop Damage Assessment with Controlled Error Trade-offs

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles

Learning Fair Demand Models

Gradient Boosted Risk Scores

Efficient and Interpretable Transformer for Counterfactual Fairness

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings

Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors

AcquireBound: Runtime Authorization for Resources Acquired by AI Agents

A multi-view contrastive learning framework for spatial embeddings in risk modelling

HeteRo-Select: Informativeness as the Participation Driver in Heterogeneous Federated Learning

When Personalization Becomes Bias: Structural and Discursive Religious Framing in AI-Generated Financial Advice

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques

Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2

Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework