Uploaded May 2026 | Updated September 2026, 3 weeks ago
Join the next cohort and build something like what you see in this demo:
https://ai.science/products-services/llm-agents-bootcamp
GxRAG, an agentic AI and RAG-based workflow automation system designed specifically for regulated environments. The platform combines retrieval-augmented generation, human-in-the-loop review, auditability, and compliance-focused workflows to support regulatory processes while maintaining full traceability and accountability.
The system helps users interpret complex regulatory guidance, identify affected fields, extract structured data from product documentation, and route outputs through reviewer and approver workflows before export into downstream systems. Every AI-generated response includes citations, judge-layer validation, extraction notes, and decision tracking to eliminate the traditional “black box” problem associated with AI systems.
This project demonstrates how enterprise AI can be deployed safely in high-compliance environments by keeping humans in control while significantly reducing manual effort and accelerating regulatory workflows.
#AI #RAG #Pharma #Compliance #EnterpriseAI #RegTech #Automation #ArtificialIntelligence #GxP #DataIntegrity #WorkflowAutomation #MachineLearning #HealthTech
Join the next cohort and build something like what you see in this demo:
https://ai.science/products-services/llm-agents-bootcamp
GxRAG, an agentic AI and RAG-based workflow automation system designed specifically for regulated environments. The platform combines retrieval-augmented generation, human-in-the-loop review, auditability, and compliance-focused workflows to support regulatory processes while maintaining full traceability and accountability.
The system helps users interpret complex regulatory guidance, identify affected fields, extract structured data from product documentation, and route outputs through reviewer and approver workflows before export into downstream systems. Every AI-generated response includes citations, judge-layer validation, extraction notes, and decision tracking to eliminate the traditional “black box” problem associated with AI systems.
This project demonstrates how enterprise AI can be deployed safely in high-compliance environments by keeping humans in control while significantly reducing manual effort and accelerating regulatory workflows.
#AI #RAG #Pharma #Compliance #EnterpriseAI #RegTech #Automation #ArtificialIntelligence #GxP #DataIntegrity #WorkflowAutomation #MachineLearning #HealthTech
