Overview
AgenticWorks RepoGen is built on an AI Agent–driven architecture that automates statistical calculations and quality analysis to generate draft reports. It supports event management across production processes—defects, returns, and deviations—through issue analysis, root cause investigation, and CAPA (Corrective and Preventive Actions). The service validates specification changes, conducts trend and product/process analyses to identify root causes, and performs re-validation or process requalification when necessary.
The service consists of specialized AI agents:
Result Summary Agent: extracts and summarizes data, reducing report drafting time by over 90%.
Analytics & Statistics Agent: performs data-driven analysis and generates visualizations for accuracy.
Comprehensive Summary Agent: consolidates evaluations and monitoring results into consistent, compliant reports.
Key benefits for customers include:
Faster reporting with over 90% reduction in manual effort
Higher accuracy through self-validation and automated analytics
Consistent quality using standardized templates for audits and regulatory submissions
Running on AWS-native architecture, AgenticWorks RepoGen deploys multiple AI agents on Amazon EKS. Generative AI agents powered by Amazon Bedrock automate planning, execution, and evaluation. Amazon ElastiCache improves responsiveness and cost efficiency, while Amazon S3 and Amazon RDS ensure data consistency and session continuity. Amazon Athena and OpenSearch enable scalable analytics and accurate search, and Amazon Cognito provides secure user authentication.
Through these capabilities, AgenticWorks RepoGen empowers pharmaceutical and manufacturing enterprises to innovate quality management, ensure regulatory compliance, and enhance productivity with an intelligent, data-driven platform.
Highlights
- 90%+ reduction in APQR and quality report preparation time – accelerate draft generation with data-driven automation
- Real-time quality monitoring and self-validation – ensure accuracy through automated data collection and validation
- AWS-native architecture – stable, scalable service built on Amazon EKS, Bedrock, and OpenSearch
Details
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Support: launchcenter@lgcns.com Hours: Mon–Fri, 09:00–18:00 (KST) Languages: English, Korean Sales contact: Sangwon Austin Lee
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