Generative AI for Insurance Data Extraction & Analysis | Generative AI for Insurance Industry

Architecture Diagram

Technology Stack

Problem Statement


Complex Property Insurance Documents: Addressing the challenge of deciphering intricate property insurance documents, which often contain dense legal language and technical terminology.


Efficient Data Extraction and Comparison: Streamlining the extraction, classification, and summarization of key insurance policy data to facilitate quick and accurate comparisons between contracts and offers.


Language Barriers: Overcoming language barriers by processing documents written in non-English languages, ensuring accessibility for users.


Data Privacy Compliance: Ensuring compliance with data privacy regulations, such as GDPR, by implementing encryption, access controls, and anonymization techniques to safeguard sensitive customer data.


User-Friendly Policy Analysis: Providing a user-friendly platform for policy analysis, enabling users to easily navigate and understand complex insurance terms and conditions.

Solution Overview


OptiSol worked with a startup company in building a Minimal Viable Product (MVP) for efficiently processing complex Property Insurance documents in Switzerland using Natural Language Processing (NLP) and GPT-based models.


The solution will extract, classify, and summarize key insurance policy data, including coverage, deductibles, exclusions, and limits, from uploaded PDF documents in the non-english languages like German, Arabic etc.


To protect sensitive customer data, the solution will incorporate encryption for data at rest and in transit.


AWS cloud hosting with robust security measures, access control, and anonymization techniques will ensure GDPR compliance.


In addition to document processing, the solution will offer advanced features such as comparing insurance contracts and offers, anonymizing sensitive data, and implementing a question-answering system for precise information retrieval.

Business Impact


Efficiency and Cost Reduction: The solution optimizes document processing, leading to significant time and cost savings for insurance companies and policyholders alike.


Informed Decision-Making: By offering accurate and comprehensive data extraction and comparison capabilities, the solution empowers users to make informed decisions regarding insurance policies, ultimately reducing the risk of financial losses.


Revenue Generation: The platform's advanced features attract users and create a new revenue channel for the business, enhancing its financial performance and growth potential.


Competitive Edge: By providing advanced functionalities such as document comparison, data anonymization, and question-answering systems, the solution distinguishes itself from competitors and strengthens the business's position in the insurance industry.


Customer Satisfaction and Retention: The user-friendly interface and comprehensive features enhance customer satisfaction, leading to increased loyalty and retention rates among users of the platform.

Testimonials of Our Happy Clients

Related Success Stories

Related Insights

How elsAi is Transforming Your Medical Journey

elsAi, your AI-powered document analysis platform/assistant, cuts through the mountains of paperwork in healthcare, transforming information…

How Generative AI solutions are modernizing Fraud Detection Strategies

How Generative AI solutions are modernizing Fraud Detection Strategies?

The realm of fraud detection is undergoing a paradigm shift with the infusion of generative artificial intelligence (AI).This cutting-edge technology…

How Generative AI can Transforming Financial Industry

How Generative AI can Transform Financial Industry?

Exploring how Generative AI can transform financial services reveals its multifaceted impact on various operational aspects. From optimizing algorithmic…

Our Award-Winning Team

A team of young, dynamic and curious minds recognized with global awards for making a significant impact on making human lives better

Awarded as Runner-up under Cloud Solutions Category at the Express IT Awards






Projects for
reputed Clients


14 yrs

in Digital

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.
Connect With Us!