๐Ÿ”ฌ Automate pharmaceutical COA verification & vendor scoring with AI document analysis

โšก 198 views ยท ๐Ÿ”ฌ Document Extraction & Analysis

Description

This enterprise-grade n8n workflow automates the Pharmaceutical Raw Material COA Verification & Vendor Quality Scoring System โ€” from upload to final reporting โ€” using AI-powered document extraction, specification matching, and dynamic vendor scoring. It processes Certificates of Analysis (COAs) to validate compliance, assign quality scores, generate approvals or CAPA requests, and notify stakeholders, ensuring regulatory adherence and vendor accountability with full audit trails and zero manual data entry.

Key Features

Workflow Process

StepNodeDescription
1START: Upload COAWebhook trigger receives uploaded COA file for verification process
2EXTRACT: Parse COAExtracts test results and data from the COA document using AI parsing
3ANALYZE: Vendor ComplianceCompares extracted data against specifications and flags deviations
4SCORE: Vendor Quality RatingCalculates weighted compliance score based on test results and history
5DECISION: Compliance RouteEvaluates score/status: Branches to approve (green) or reject (red) path
6APPROVED: Generate Approval Cert (Approved Path)Creates digital approval certificate for compliant materials
7Update Vendor DatabaseSaves verification record, score, and status to vendor database
8NOTIFY: Email AlertSends detailed notifications to QA/production teams
9REPORT: Final ReportGenerates executive summary with COA scores and verifications
10REJECT: Generate Rejection Report (Reject Path)Produces rejection report with deviation details
11Request CAPAInitiates Corrective and Preventive Action (CAPA) process
12PATH REJECTEDTerminates rejected branch with audit log entry

Setup Instructions

1. Import Workflow

2. Configure Credentials

IntegrationDetails
File Storage (e.g., Google Drive/AWS S3)API key or OAuth for COA upload handling
AI Extraction (e.g., Claude or OCR Tool)API key for document parsing (e.g., claude-3-5-sonnet-20241022)
Database (e.g., PostgreSQL/Airtable)Connection string for vendor records and specs
Email (SMTP/Gmail)SMTP credentials or OAuth for notifications

3. Update Database/Sheet IDs

Ensure your database or Google Sheets include:

4. Set Triggers

5. Run a Test

Use manual execution to confirm:

Database/Sheets Structure

VendorDatabase

| vendorId | coaId | score | complianceStatus | lastVerified | deviations | capaRequested | |--------------|-------------|----------|--------------------|--------------------|--------|--------------------|---------------| | VEND-123456 | COA-789012 | 92.5 | Approved | 2025-11-04T14:30:00Z | None | No |

Specifications

| materialType | testParam | specMin | specMax | weight | |--------------|-------------|----------|--------------------|--------------------|--------|--------------------|---------------|----------| | API Excipient | Purity (%) | 98.0 | 102.0 | 0.4 |

System Requirements

RequirementVersion/Access
n8nv1.50+ (AI and database integrations supported)
AI Parsing APIclaude-3-5-sonnet-20241022 or equivalent OCR
Database APISQL connection or Google Sheets API
Email APIhttps://www.googleapis.com/auth/gmail or SMTP
File StorageAWS S3 or Google Drive API access

Optional Enhancements

Result:
A fully automated quality assurance pipeline that verifies COAs, scores vendors, and drives compliance decisions โ€” ensuring pharmaceutical safety and efficiency with AI precision and complete traceability.

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๐Ÿ”— Nodes Used

Airtable, Send Email, Webhook

๐Ÿ“ฅ Import

Download workflow.json and import into n8n: Workflow menu โ†’ Import from File

๐Ÿ“– Importing guide ยท ๐Ÿ”‘ Credential setup