Quotebot

PROBLEM

Slow policy quoting is costing the U.S. insurance industry millions

In the fast-paced U.S. insurance market, delayed policy quoting leads to revenue loss, operational inefficiencies, and reduced customer satisfaction.

Traditional quoting methods require manual data extraction from PDFs, Excel files, and legacy systems, making the process slow and prone to errors.

Customers demand instant, competitive quotes, but outdated insurer workflows cause missed deals and rising policy dropouts

Challenges in Transforming Hospitality with AI

From the start, we carefully analyzed existing systems to identify gaps and set priorities. The focus was on integrating Voice AI and cloud-based workflow management to enable seamless automation and personalization within hospitality operations. Advanced integration techniques and robust data pipelines were essential to connect AI systems with legacy setups, while ensuring compliance with industry standards and delivering lifelike, real-time interactions. These efforts relied on scalable cloud architectures and meticulous planning for smooth adoption.

SOLUTION

AI-Powered Quote Automation Integrated with Legacy Systems

To overcome these inefficiencies, we developed an AI-driven quoting system designed to work seamlessly with existing legacy insurance platforms. Our solution utilizes advanced Optical Character Recognition (OCR) and Machine Learning (ML) algorithms to extract, analyze, and process data from policy documents. This automation enables insurers to generate faster, more accurate quotes, reducing manual intervention and improving overall efficiency.

TECH STACK

METHODOLOGY

01

Automated Data Extraction

Implemented OCR technology to extract and structure data from PDFs, Excel files, and scanned policy documents.

02

Seamless Legacy System Integration

Developed an architecture that enables smooth data exchange with the insurer’s existing infrastructure.

03

AI-Powered Risk Assessment

Implemented machine learning models to evaluate risk factors and recommend optimized policy pricing.

04

Real-Time Quote Generation

Built an automated decision engine to process extracted data and generate instant policy quotes.

05

Efficient & Secure Processing

Ensured optimized system performance with secure data handling and compliance with industry standards.

RESULTS

Faster Quotes, Higher Conversions, and Increased Revenue

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By automating data extraction, risk assessment, and quote generation, the system reduced processing time from days to minutes, enabling faster responses and increasing the number of policies issued while seamlessly integrating with legacy systems.

Working with the team on the Quotebot project was a fantastic experience. Their expertise in OCR and AI made the integration into our systems smooth, speeding up our insurance quoting process significantly. They were proactive in communication and agile in their approach, always looking for innovative ways to improve and adapt, which greatly contributed to our project's success.

Naveen Garg

Founder, NLPCore