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AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality

Case study

AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality

To enhance regulatory adherence, document clarity, and operational efficiency by implementing an AI-based web platform for SOP evaluation and rewriting—addressing variability, complex language, and manual review bottlenecks in Biocon’s document processes.

Industry

Pharma & Life Sciences

Capability

Amazon Bedrock

Technology

NLP (Natural Language Processing)

AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality
Streamlined
SOP Rewriting and Review Workflow
Improved
SOP Quality and Readability
Audit-Ready
Change Traceability
Foundation
for AI-Enabled Regulatory Compliance at Scale

Business objective

To enhance regulatory adherence, document clarity, and operational efficiency by implementing an AI-based web platform for SOP evaluation and rewriting—addressing variability, complex language, and manual review bottlenecks in Syngene International Limited’s document processes in India.

Solutions & implementation

Developed a web-based Generative AI application using ReactJS (frontend) and Django (backend) hosted on AWS EC2.

Integrated Amazon S3 for document storage and Amazon RDS (PostgreSQL) for prompt templates and revision history.

Used prompt engineering to transform SOPs with LLM responses via Amazon Bedrock (Claude 3 Sonnet).

Supported manual import of revision inputs (from emails or MS Teams) into a versioned revision tracker.

Enabled tracked changes, structural rewriting, grammar checks, and export-ready outputs aligned to DMS formats.

Ensured CFR audit readiness through version control, traceability, and compliance reporting.

Major technologies used

Amazon Bedrock (Claude 3 Sonnet)

LLM for rewriting SOPs

Amazon S3, EC2, RDS (PostgreSQL), AWS Textract, Amazon MQ

Scalable AWS infrastructure

ReactJS, Django, Python

Application logic and front-end

LangSmith, Pinecone

Prompt engineering and semantic vector storage

AWS Athena, Presto

For future extensibility of SOP data querying

Business outcomes

Streamlined SOP Rewriting and Review Workflow

Enabled structured, tracked rewriting and feedback within a single AI interface, reducing manual document iterations.

Improved SOP Quality and Readability

Rewrote SOPs using consistent tone, improved grammar, and standardized structure across all operational sites.

Audit-Ready Change Traceability

Integrated revision tracking, version control, and compliance feedback mechanisms aligned to CFR standards.

Foundation for AI-Enabled Regulatory Compliance at Scale

Built a scalable GenAI-enabled platform ready for Phase 2 features like FDA guideline validation, automated compliance scoring, and integration with Biocon’s SOP DMS.

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