Gen AI in Pharma: Automating SOP Lifecycle Management on AWS

About the client

A leading global CRDMO serving top-20 pharma and biotech companies across drug discovery, clinical development, and commercial manufacturing. With 5,200+ scientists and a multi-million sq. ft. R&D and manufacturing footprint, regulatory compliance and documentation quality are mission-critical at every stage of operation.

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Problem Statement

The Quality department managed the full SOP lifecycle through manual, document-heavy processes. SOP creation, review, approval, versioning, and updates all relied on individual effort, making the function slow, inconsistent, and difficult to scale. SOP preparation averaged 1 to 5 days per document, legacy SOPs accumulated compliance gaps with no efficient way to surface or remediate them at scale, and version control remained fragmented across a growing library of documents.

Challenge

Manual, Inconsistency-Prone SOP Creation No standardized generation process meant every SOP was drafted from scratch, with quality, structure, and terminology varying by author and team. ‍
No Scalable Legacy SOP Gap Analysis Identifying outdated content, missing compliance requirements, and gaps in existing SOPs required significant expert hours with no automated mechanism to prioritize or act at scale. ‍
Fragmented Version Control and Audit Trails Maintaining document history, revision traceability, and audit readiness across hundreds of SOPs was manual, error-prone, and difficult to govern. ‍
Bottlenecked Regulatory Alignment Checking SOP content against regulatory standards and internal quality requirements was done manually, creating review delays and ongoing compliance risk. ‍
Unstructured Review and Approval Workflows Cross-functional SOP review and sign-off had no defined workflow structure, causing inconsistent turnaround times and collaboration gaps between Quality and business teams.

Solution

An AWS-native Generative AI platform automating the full SOP lifecycle, from intelligent document generation to compliance validation, gap analysis, workflow automation, and audit readiness assessment.

AI-Powered SOP Generation on Amazon Bedrock Generates standardized, compliant SOP drafts instantly from user prompts, predefined templates, and quality guidelines using Large Language Models (LLMs) via Amazon Bedrock. ‍
Legacy SOP Gap Analysis using RAG Applies Retrieval-Augmented Generation (RAG) to analyze existing SOPs against regulatory benchmarks, surfacing missing content, compliance gaps, and outdated information with actionable recommendations. ‍
Compliance Validation Engine Automatically checks SOP content against defined quality standards and regulatory requirements, flagging non-conformances before review cycles begin.
‍Automated Version Control and Change Tracking Maintains full document history, tracks all revisions, and ensures traceability of SOP updates across the entire library, supporting continuous audit readiness. ‍
Workflow Automation for Review and Approval Structures SOP review, collaboration, and sign-off across Quality and business teams, reducing manual coordination and accelerating turnaround. ‍
Audit Readiness Assessment Evaluates SOP documentation maturity across the library and surfaces specific remediation actions needed to meet audit preparedness standards.

Generative AI for Pharma SOP Automation on AWS

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Technology used

Angular, Python, and AWS powered a secure, AI-driven platform for intelligent SOP generation, compliance automation, and workflow orchestration.

Impact

99%

SOP Preparation Time Reduced from 1-5 days to 5-10 minutes

40%

Increase in SOP Accuracy

25%

Improvement in Compliance and Audit Readiness

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