Insurance agencies spend countless hours manually entering policy data from PDFs into their systems. This tedious process is not only time-consuming but also prone to errors. Enter AI-powered document extraction.
The Challenge of Manual Data Entry
Traditional policy processing involves:
- Opening each PDF manually
- Reading through pages of text
- Finding relevant fields (insured name, premium, dates, etc.)
- Typing this information into spreadsheets or systems
- Double-checking for accuracy
This process can take 15-30 minutes per policy, and human error rates typically range from 1-5%.
How AI Extraction Works
Modern AI uses a combination of technologies:
Optical Character Recognition (OCR)
First, the system converts PDF content (even scanned documents) into machine-readable text.
Natural Language Processing (NLP)
The AI then understands the context of the text, identifying what information represents policy numbers, premium amounts, effective dates, etc.
Machine Learning Models
Trained on thousands of policy documents, these models recognize patterns across different carrier formats.
Benefits of AI-Powered Extraction
- **Speed**: Process a policy in seconds, not minutes
- **Accuracy**: 99%+ accuracy on well-formatted documents
- **Consistency**: Every policy processed the same way
- **Scalability**: Handle volume spikes without hiring
Getting Started with AI Extraction
arqu uses state-of-the-art AI models trained specifically on insurance documents. Simply upload your policy PDF, and our system extracts:
- Insured information
- Premium amounts
- Effective and expiration dates
- Coverage details
- Carrier information
All extracted data can be reviewed and edited before generating filing documents.