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RedTeam

RedTeam Harnesses AWS and Generative AI to Achieve 90% Extraction Accuracy and Supercharge Document Processing   

Allata partnered with RedTeam to implement an AI-powered, AWS-native solution that reduced document processing from 8+ hours to 15 minutes, achieving 90% accuracy and transforming RedTeam’s platform into a market-leading, efficient, and scalable construction management tool.

Context 

RedTeam, a construction management software company, faced a critical bottleneck with manual specification document review consuming up to 8+ hours per document. Our team implemented an AI-driven pipeline using AWS Bedrock and Textract, achieving around 90% accuracy while cutting processing time dramatically. This solution now serves as a key differentiator and potential revenue stream for RedTeam’s platform. 

Operational Impact and Transformational Outcomes

The introduction of an AI-powered solution brought dramatic efficiency gains, transforming RedTeam’s document processing capabilities. The solution consistently delivered 89-90% accuracy, efficiently handling complex, multi-thousand-page documents that previously required extensive manual review. 

THE CHALLENGE

RedTeam’s reliance on manual processes for extracting specification requirements from large documents posed significant challenges: 

OUR SOLUTION     

Our team designed a comprehensive AI architecture in AWS, built on a serverless infrastructure-as-code model. This robust extraction pipeline was tailored specifically for RedTeam’s needs.  

  • Serverless Architecture: Leveraged use case-optimized serverless services within AWS (Lambdas, Step Functions, S3, DynamoDB, Fargate, etc.) for automated scaling, ensuring efficient processing without manual intervention. 
  • Infrastructure as Code: Deployed using Infrastructure as Code (IaC) methodologies, allowing rapid deployment and updates while maintaining consistent environments. 
  • Multi-Stage Pipeline: Included document chunking, text extraction, Bedrock AI interpretation, and storage in DynamoDB for seamless platform integration. 
  • Rigorous Testing: A test harness compared AI-extracted results against manually verified data, ensuring accuracy and facilitating continuous improvement. 
  • Fully Serverless: The solution was built out almost exclusively with serverless  

“This project has not only streamlined our operations but positioned RedTeam as a leader in AI-driven efficiency.”

Patrick Smith 
   Chief Technology Officer, RedTeam 

THE RESULT 

RedTeam’s document processing was revolutionized, with complex documents now processed in minutes instead of hours. This achievement not only enhanced operational efficiency but also positioned RedTeam as a market leader. 

technology  

The solution leveraged a comprehensive AWS-native architecture optimized for large-scale document processing and AI-powered extraction. 

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