Automated Policy Data Extraction
Developed an AI-powered engine to extract key insurance policy details from PDF documents and convert them into structured JSON.
Case Study
AI-Powered Insurance Policy
We partnered with Newcleus, a U.S.-based financial strategy firm, to develop an AI-driven solution for extracting and analyzing insurance policy data from PDFs. The platform automates data extraction, validation, and financial analysis, enabling faster, more accurate decision-making and reducing manual effort for insurance advisors.
Vision
To design and deliver an automated AI-driven solution that extracts detailed insurance policy data from PDF documents, structures the data for analysis, and performs comprehensive financial comparisons to support business decisions on insurance carrier switching.
The Vision
Build an AI-driven platform that automates insurance policy extraction, financial analysis, and reporting to enable faster, more accurate business decisions.
The Challenge
Manual extraction from complex policy PDFs was slow, error-prone, and made policy comparison and carrier-switch evaluations time-consuming.
The Solution
Developed an end-to-end AI solution that extracts and validates policy data, performs financial comparisons, and automatically generates client-ready reports.
What we did
Validated Extracted Information
Implemented automated validation by comparing extracted policy data with existing records to improve accuracy and reliability.
Performed Financial Analysis
Built financial models to evaluate premiums, surrender values, payouts, and other policy metrics for informed decision-making.
Generated Client-Ready Reports
Automated the creation of presentation-ready reports summarizing policy insights and carrier-switch recommendations.
Key Features
AI Data Extraction
Extracts structured data from policy PDFs.
Financial Analysis
Calculates premiums and policy outcomes.
Presentation Builder
Generates client-ready financial presentations.
Data Validation
Verifies accuracy using historical records.
The
Impact
1
Higher Accuracy
Reduced manual errors through AI-driven extraction and validation.
2
Faster Processing
Accelerated policy analysis and presentation generation.
3
Cost Reduction
Lowered operational costs by automating repetitive workflows.
4
Improved Decisions
Delivered reliable financial insights for better client recommendations.
5
Scalable Solution
Handled growing document volumes with consistent performance.