Automated review of batch manufacturing records, clinical documentation, and compliance workflows — catching errors before they become liabilities.
Manual review is slow, inconsistent, and expensive. A single missed field can delay a batch release, trigger an audit, or compromise patient safety.
Detects empty mandatory fields, incorrect date formats, missing signatures, and header inconsistencies across every page.
AI reviews document logic — same-person preparer/approver conflicts, equipment calibration failures, and cross-page inconsistencies.
Issues are highlighted directly on the PDF with color-coded bounding boxes so reviewers know exactly where to look.
Automatically flags expired raw materials, quantity mismatches between required and staged amounts, and lot number gaps.
Microsoft Entra ID login ensures every user sees only their own records. No cross-contamination of sensitive batch data.
All documents, annotations, and QA reports are stored in Azure Blob Storage with full traceability per submission.
Full QA validation of BMRs before batch release — ensuring every step is signed, dated, and within spec.
Keep clinic records audit-ready at all times with continuous AI-driven document monitoring and issue reporting.
Upload any batch record or clinical PDF directly from your browser.
Azure Document Intelligence extracts every field, table, and signature with precise bounding boxes.
50+ automated rules scan for empty fields, date errors, expired materials, and missing headers.
GPT-4o reviews document logic and flags semantic issues that rules alone cannot catch.
Receive a color-coded annotated PDF and structured JSON QA report, stored securely in the cloud.