Case Study · Pharma & Healthcare

BMR Review AI Assistant — AI "Review by Exception" for batch-record QA

A large generics pharmaceutical manufacturer · QA Automation · OCR + AI · Review by Exception · 21 CFR Part 11

The challenge

Manual BMR review at scale.

Manual BMR review at scale

Large paper/PDF batch manufacturing records reviewed manually — time-consuming and error-prone across production sites.

Inconsistent rule application

Difficult to consistently apply QA review rules across batches and multiple production sites.

Limited audit traceability

No structured, time-stamped evidence trail for QA decisions and exception approvals.

Compliance risk

Manual processes created gaps in 21 CFR Part 11 compliance for electronic records.

What we built

AI-powered Review by Exception.

AI Review by Exception (RBE)

OCR + AI extracts data from executed BMRs and automatically flags anomalies against the master batch record.

Configurable rulebook per product

Admins build and activate/deactivate checklist rules per Master BMR — primary, secondary & tertiary parameters.

Human-in-the-loop structuring

Authorized users validate OCR-extracted master content before activation, ensuring extraction accuracy.

Full audit trail & role-based access

RBAC with SSO, immutable audit logs, and electronic signatures — built for FDA-regulated environments.

Results

Quantified outcomes.

↓70%

Manual review time — QA focuses only on flagged exceptions.

21 CFR Part 11

Compliant — electronic signatures & immutable audit trails.

Multi-site

Deployment-ready — RBAC with SSO across facilities.

OCR + AI

Automated anomaly detection with confidence scores.

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