A Top Property Insurance Company
Auto Insurance Intelligent Loss Assessment & Quick Compensation
The property insurance industry faces fierce competition to cut claim costs, mitigate fraud and improve satisfaction. Challenges include rising manual loss assessment labor costs, complex fraud and need for faster settlements.
Core pain points: Inefficient manual inspection of vehicle damages (60% accuracy, 2-3 days per claim) fuels dissatisfaction, while basic rule-based fraud detection misses 30% of scams, causing $2M annual losses.

Core Problems Solved
The solution built for the client uses computer vision for intelligent loss assessment and machine learning for fraud detection, addressing the inefficiencies of manual processes. It automates damage identification and risk scoring to reduce processing time and fraud losses.
Key Features of the Solution
-
Computer Vision
for Damage Detection
-
Machine Learning
for Fraud Risk Scoring
Achievements and Benefits
$2.5 Million
Cost Reduction: Cut manual assessment costs by $2.3 million annually with AI handling 60% of claims (up from 15% previously).
4Hrs
Efficiency Gains: Reduced claim processing time from 2.5 days to 4hrs with first-time settlement rates increasing from 55% to 82%.
$1.2 Million
Fraud Prevention: Identified 85% of fraudulent claims in the top 20% scored cases, saving $1.2 million in annual fraud losses.
Ready to Transcend?
Empower your enterprise to think faster, operate smarter and grow stronger.
A Top Property Insurance Company
Intelligent Quick Compensation & Risk Classification
The life insurance industry faces intense competition to speed up claim settlement, cut operational costs and strengthen fraud prevention. Challenges include manual review inefficiencies, growing fraud risks and customers’ demand for quick claim resolutions.
Core pain points: Traditional manual claim verification takes 2-3 days per case with 60% accuracy, causing dissatisfaction, while rule-based fraud detection misses 30% of fraudulent claims, leading to $1.5 million annual losses.

Core Problems Solved
The solution uses machine learning to automate claim risk scoring and prioritization, addressing manual review inefficiencies and improving fraud detection. It enables data-driven triage of claims to optimize resource allocation.
Key Features of the Solution
-
Risk
Scoring Model
-
Intelligent
Triage System
Achievements and Benefits
$2 Million
Cost Reduction: Cut manual review costs by $2 million annually with AI handling 75% of claims (up from 10%).
5Hrs
Efficiency Gains: Reduced claim processing time from 3 days to 5 hours with first-time settlement rates increasing from 45% to 72%.
$1 Million
Fraud Prevention: Identified 70% of fraudulent claims in high-score cases, saving $1 million in annual losses.
A Top Property Insurance Company
Speeding Up Product Launch With AIGC
The insurance industry faces fierce competition to speed up product launches, cut marketing costs and differentiate services. Market innovation and customer demand for timely updates heighten pressures to streamline content production.
Core pain points: Manual creation of brochures and policy summaries delays launches by 2–3 weeks, costing over $150K annually. Dependence on human creators causes inconsistent branding and compliance risks.

Core Problems Solved
The client uses AIGC technology to automate marketing content generation, addressing the inefficiencies of manual workflows and enabling faster product rollouts.
Key Features of the Solution
-
AIGC-Driven
Content Generation
-
Brand Compliance
Automation
Achievements and Benefits
80%
Content Production Efficiency: Reduced material creation time by 80%, enabling 30% more product launches annually.
$0.2 Million
Labor Cost Savings: Projected $0.2 million annual reduction in manual content creation costs.
2/3
Time-to-Market Improvement: Shortened product launch cycles by 2/3 on average.
Ready to Transcend?
Empower your enterprise to think faster, operate smarter and grow stronger.
A Top Property Insurance Company
Monitoring Public Opinion With AIGC
The insurance industry faces intense competition to maintain brand reputation, respond to market trends and manage customer expectations in real time. Social media and competition have amplified public opinion’s impact on business.
Core pain points: Traditional keyword-based monitoring misses 30% of negative sentiments, generates 20% false alarms, and delays risk responses. Manual unstructured data analysis from social media takes 40+ hours weekly, capturing only 60% of relevant info.

Core Problems Solved
The client employs LLM to automate unstructured text analysis for public opinion monitoring, addressing the inefficiencies of manual keyword detection and improving the accuracy of sentiment identification.
Key Features of the Solution
-
Advanced
Sentiment Analysis
-
Intelligent
Keyword Expansion
-
Multi-Channel
Data Integration
Achievements and Benefits
8%
Accuracy Improvement: Reduced negative sentiment missing rate from 30% to 8% and false alarm rate from 20% to 5%.
80%
Efficiency Gains: Shortened weekly analysis time from 40 hours to 8hrs, a 80% reduction.
Proactive Brand Risk Mitigation
Proactive brand risk mitigation through early issue detection. Enhanced customer trust via timely response to feedback. Streamlined communication between customer service and marketing teams.
A Top Property Insurance Company
Daily Operation With AIGC
The insurance industry operates in a fiercely competitive landscape, prioritizing operational stability and rapid issue resolution. Key challenges include maintaining system reliability, minimizing downtime and ensuring seamless customer experiences amid evolving tech demands.
Core pain points: Manual system monitoring took 16+ hours weekly with cross-departmental delays adding 4+ hours per issue. Anomaly detection required 24–48 hours, causing prolonged disruptions and revenue loss.

Core Problems Solved
The client uses LLM to automate real-time monitoring of insurance system operations, addressing fragmented manual checks and delayed anomaly identification.
Key Features of the Solution
-
Multi-System
Data Integration
- Anomaly Detection with Historical Baselines
-
Root Cause
Analysis
Achievements and Benefits
87.5%
Monitoring Efficiency: Reduced weekly manual checking time from 16 hours to 2 hours (87.5% reduction).
$0.12 Million
Cost Savings: Projected $0.12 million annual reduction in operational labor costs.
Enhanced service reliability
Proactive system maintenance through early anomaly identification. Improved cross-team communication via automated alerting. Enhanced service reliability, minimizing customer-impacting disruptions.
Ready to Transcend?
Empower your enterprise to think faster, operate smarter and grow stronger.
A Top Property Insurance Company
Project Risk Management & Control With AIGC
The insurance industry faces fierce competition in efficiently managing concurrent projects and mitigating risks. Key challenges include accelerating delivery, optimizing resource allocation and ensuring operational stability under tight deadlines.
Core pain points: Manual risk detection via reports and inspections takes 72 hours per project, missing 40% of high-frequency risks due to fragmented team chat communication. Regular inspections for 10+ parallel projects cost $30,000 annually with 2 FTEs.

Core Problems Solved
The client uses LLM natural language comprehension to automate risk detection in project communications, addressing slow manual risk identification and high labor costs.
Key Features of the Solution
-
Real-Time
Chat Analysis
-
Automated
Alert System
-
Historical
Risk Pattern Learning
Achievements and Benefits
94%
Monitoring Efficiency: Reduced weekly manual checking time from 16 hours to 2 hours (87.5% reduction).
80%
Labor Cost Savings: Reduced manual inspection workload by 80%, equivalent to $40K annual savings.
Enhanced Project Predictability
Proactive risk mitigation instead of reactive response. Improved cross-team communication through standardized risk documentation. Enhanced project predictability, enabling better resource allocation and deadline management.