FDA Regulations Every
AI-Enabled Pharma Manufacturer
Must Know

Requires the Quality Unit (QU) to approve or reject procedures, records, and specifications that affect product quality. The QU remains accountable for GMP compliance.

AI can draft SOPs, batch records, investigations, and specifications, but FDA does not consider AI an approver. Human oversight is mandatory.

Ensure every AI-generated GMP document is independently reviewed and approved by qualified Quality personnel. Train reviewers to identify AI errors or hallucinations before approval.

Requires scientifically justified and validated production processes that consistently produce quality products. Process validation is mandatory.

AI cannot determine or replace process validation requirements. Manufacturers remain responsible for validating every manufacturing process.

Use AI only to support process analysis or optimization. Validate every critical process using documented scientific evidence and human approval.

Requires computerized systems to be validated and their inputs, outputs, and changes to be controlled for accuracy.

AI systems used for inspections, monitoring, or predictions become regulated computerized systems. Their performance must remain reliable throughout their lifecycle.

Validate AI models before deployment, continuously monitor for performance drift, and manage all model updates through formal change control.

Requires complete batch records and Quality Unit review of every batch before release. Any discrepancy must be investigated.

AI can automate review-by-exception, but it cannot replace the Quality Unit’s release decision. The manufacturer remains responsible for missed deviations.

Validate AI-assisted batch review systems, maintain complete audit trails, and require human approval before batch release.

Written procedures must ensure every quality-related complaint is reviewed, evaluated, and—where warranted—thoroughly investigated with documented findings.

AI can cluster, categorize, or triage complaints at scale, but it cannot close the loop—evaluations, root-cause investigations, and final dispositions require documented human oversight.

Leverage AI for automated complaint triage and early signal detection, but keep investigation sign-off, root cause analysis, and CAPA decisions strictly with qualified personnel.

Defines requirements for trustworthy electronic records, electronic signatures, audit trails, and data integrity.

AI generates regulated electronic records. FDA expects complete traceability of prompts, outputs, model versions, approvals, and changes.

Maintain secure audit trails, preserve AI prompts and outputs, implement version control, and archive the exact AI model used for regulated decisions.