Many organizations manage hundreds or thousands of vendor contracts. Each contract contains important data like values, dates, and contacts. Extracting this data manually takes hours and risks errors.
AI chat tools can answer questions about individual contracts well. But they struggle with portfolio-wide questions, like total value or upcoming renewals. These questions need data aggregation across many documents.
Most AI tools rely on retrieval-augmented generation (RAG). RAG breaks documents into chunks and searches for relevant parts. It works for specific questions but fails for aggregate questions that need data from all contracts.
The new platform on AWS uses AI agents to extract key fields from each contract PDF. Two agents work independently to verify the data, with Amazon Textract resolving disagreements.
Verified data is stored in Amazon Aurora PostgreSQL. Users can see real-time processing status and query data through dashboards and a natural language chat.
The system processes contracts quickly, often in seconds. Its serverless design allows it to handle many contracts at once.
Why it matters
This approach enables fast, accurate analysis of large contract portfolios, saving time and reducing errors.
What to do
Deploy AI extraction and verification agents for your contracts. Use a database for aggregation and analysis.
