Complaints

Intelligent complaint management for pharmaceutical manufacturing. Every complaint triaged by AI. Every safety signal detected. Every adverse event reported on time.

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Built for Market Feedback Intelligence

AI triages incoming complaints, detects safety signals across patterns, and auto-populates regulatory forms, turning market feedback into actionable quality intelligence.

Leucine Complaints transforms reactive complaint handling into proactive market intelligence. AI auto-categorises and scores incoming complaints by severity and regulatory reportability. Pattern detection identifies emerging safety signals across products, batches, and geographies. Adverse event forms are auto-populated for FDA MedWatch and EU EudraVigilance. And when complaints reveal systemic issues, deviations and CAPAs are triggered automatically through connected workflows.

AI-Powered Triage

Incoming complaints are automatically categorised, scored by severity, checked for duplicates, and routed to the right investigation team, within seconds of receipt.

Auto-Categorisation.

AI classifies complaints by type, product quality, adverse event, packaging, labelling, or counterfeit, based on the complaint narrative and product details.

Severity Scoring.

Each complaint receives a severity score based on patient impact, product type, and regulatory reportability, ensuring critical issues are escalated immediately.

Duplicate Detection.

AI identifies and merges duplicate complaints from the same source or event, preventing double-counting while preserving all reported details.

Smart Routing.

Complaints are routed automatically to the appropriate investigation team based on product line, complaint type, and geographic region.

Safety Signal Detection

AI monitors complaint patterns across products, batches, geographies, and time periods, detecting emerging safety signals before they escalate into regulatory actions.

Cross-Product Patterns.

AI identifies complaint clusters across products that share common formulations, raw materials, or manufacturing processes.

Batch-Level Correlation.

Complaints are correlated to specific batch numbers, linking market feedback to manufacturing data for targeted root cause analysis.

Geographic Clustering.

Complaint patterns are mapped geographically, identifying regional spikes that may indicate distribution, storage, or market-specific issues.

Alert Thresholds.

Configurable alert thresholds notify quality teams when complaint rates exceed statistical baselines for any product, batch, or complaint type.

Adverse Event Reporting

Regulatory reporting forms are auto-populated from complaint data, for FDA MedWatch, EU EudraVigilance, and other regulatory bodies, with timeline tracking to ensure on-time submission.

Auto-Populated Forms.

Regulatory reporting forms are pre-filled from complaint intake data, investigation findings, and product details, reducing preparation time from hours to minutes.

FDA MedWatch.

MedWatch 3500A forms are generated automatically with proper coding, narrative formatting, and attachment of supporting documentation.

EU EudraVigilance.

Individual Case Safety Reports (ICSRs) are formatted for E2B(R3) submission to EudraVigilance with proper MedDRA coding.

Timeline Compliance.

Reporting deadlines are calculated automatically based on event seriousness and regulatory jurisdiction, with escalation alerts as deadlines approach.

Guided Investigation Workflows

Structured investigation workflows with sample requests, lab coordination, and auto-generated reports, linked to Deviations and Corrections when systemic issues are identified.

Investigation Templates.

Pre-configured investigation templates guide teams through each complaint type, from initial assessment through root cause analysis to closure.

Sample Coordination.

Return sample requests are tracked from initiation through receipt, testing, and disposition, with chain-of-custody documentation.

Auto-Generated Reports.

Investigation reports are generated from collected data, test results, and root cause findings, ready for management review and regulatory submission.