Extract critical data in real-time with gen AI
Gen AI Solution Architecture
Problem statement
Time-Consuming Process: Manually verifying government documents was a slow and laborious task, that caused delays in decision-making and processing.
Difficulty with Volume: When the volume of government documents was more, manual verification became more challenging and less efficient.
Risk of Missing Key Information: Critical clauses, obligations, and requirements may be overlooked during manual verification, posing compliance risks for the contractors.
Limited Scalability: The current process lacks scalability, making it difficult for the client to handle a larger number of government documents and expand their operations.
Increased Error Potential: Human errors in the manual verification process can lead to inaccuracies, potentially resulting in compliance issues and contractual disputes.
Solution Overview
We have worked with a leading startup in implementing a GPT based solution that parses documents, extracts content section by section, and organizes it based on clause numbers and other attributes
Rulesets are created by identifying essential domain-specific keywords from sample documents.
Cosine similarity is used to match potential words to the ruleset, expanding the keyword list.
The system then extracts relevant paragraphs, sections, and sub-sections containing the identified keywords.
An API is built for easy access and continuous improvement of the model based on testing results.
Business impact
Faster Contract Review: The GPT-based solution speeds up the contract review process, enabling quicker responses to opportunities.
Better Compliance and Risk Management: AI-driven key clause extraction ensures critical obligations are identified, reducing compliance risks and legal disputes.
Efficient Operations: The automated analysis allows the startup to handle more contracts efficiently, leading to cost savings and improved operations.
Informed Decision-Making: GPT provides valuable insights, empowering better strategic planning and decision-making.
Cost Savings and Resource Optimization: By automating certain tasks through GPT, the startup can reduce operational costs and optimize resource allocation.
