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New Innovation and Idea | Pharmacology Science | Volume 15 Issue 1, January 2026 | Pages: 1100 - 1103 | India
Framework for Assessment of Use Case and State of Art Technology Enablers for Streamlining Compliance lifecycle Management
Abstract: This whitepaper presents an AI?enabled framework for assessing compliance use cases and modernizing end?to?end compliance lifecycle management in life sciences. By linking process hierarchy (L1?L3), capability requirements, and technology enablers such as Generative AI, RAG, Agentic AI, knowledge graphs, XAI, and synthetic data, the framework delivers a structured, traceable method to evaluate regulatory readiness. It offers organizations a practical way to assess current compliance processes, identify capability gaps, and prioritize digital investments using a standardized, repeatable model. The approach enables the industry to accelerate regulatory alignment, strengthen auditability, and adopt scalable, risk?based automation while safeguarding data integrity and governance.
Keywords: compliance lifecycle, regulatory automation, Generative AI, RAG, Agentic AI, knowledge graphs, explainable AI, GxP?aligned AI, compliance process assessment, digital quality systems
How to Cite?: Udit Mathur, "Framework for Assessment of Use Case and State of Art Technology Enablers for Streamlining Compliance lifecycle Management", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 1100-1103, https://www.ijsr.net/getabstract.php?paperid=SR26117145142, DOI: https://dx.dx.doi.org/10.21275/SR26117145142