Evidence: Low35/100

Automating contract intelligence with Doczy.ai on AWS

Use case typeIntelligent document processingUpdated Jun 13, 2026

AArete’s Doczy.ai automates contract intelligence for healthcare organizations and other enterprises by converting unstructured contracts and legal documents into structured, queryable outputs on AWS.

Organization: AArete
Industry: Healthcare
Location: United States
Published: June 2026

Reported outcomes

−99%

timeTime & speed

−55%time−97%time

Strategic outcomes

New product / capabilityAutomated contract intelligence for healthcareSpeed & agilityStreamlined document processing and automationScale & capacityBuilt a centralized metadata repository

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 99% decrease

AWS Architecture BlogJun 2, 2026Blog postInferred claimLow evidence strength

The article reports about 99% accuracy versus 55% for rules-based systems, about 97% reduction in manual processing time, 2.5 million documents processed over 22 months, 137 million API calls to Amazon Bedrock, and about $330 million in cu...

Normalized claim

Time: 55% decrease

AWS Architecture BlogJun 2, 2026Blog postInferred claimLow evidence strength

Normalized claim

Time: 97% decrease

AWS Architecture BlogJun 2, 2026Blog postInferred claimLow evidence strength

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: AArete, Doczy.ai
Provider: AWS
Maturity: Unknown
Linked source: AWS Architecture Blog

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Document Processing
2Contract Analysis
3Claims Automation

Healthcare organizations faced a major bottleneck manually reviewing and extracting data from thousands of unstructured contracts and legal documents, causing errors, delays, and slow translation of reimbursement terms into claims systems.

The solution uses Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases, Amazon Textract, Amazon S3, AWS Lambda, Amazon ECS, Amazon Cognito, AWS Secrets Manager, and Amazon CloudWatch to process documents, chunk and cluster content, generate structured outputs, and feed downstream automation.
It integrates with contract management systems and downstream claims systems, creating a centralized metadata repository and supporting business process automation.

Technologies

Amazon Bedrock Agents Amazon Bedrock Knowledge Bases Amazon Textract Amazon S3 AWS Lambda Amazon ECS Amazon Cognito AWS Secrets Manager Amazon CloudWatch Snowflake

Architecture

Users upload documents through a secure Next.js frontend with Amazon Cognito authentication. Documents land in Amazon S3 and are processed with Amazon Textract. Doczy.ai applies smart chunking and dual clustering to preserve document structure and semantics, then uses Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases to generate grounded structured outputs. The system orchestrates Amazon ECS, AWS Lambda, Amazon CloudWatch, and AWS Secrets Manager, and sends structured data to Snowflake and downstream contract management/claims systems via APIs.

Sources & evidence1

Evidence: Low35/100Evidence strength