Every entry checked before QA opens the record.
The AI Batch Reviewer reads the complete batch record and highlights what needs a human: missing entries, missing second-person verifications, out-of-limit values, open deviations and unusual patterns. QA reviews the highlights and decides. The AI never approves or releases anything.
Captured in the record
- Each highlight with step, field and rule
- Who resolved each highlight and when
- Entries sent back and completed
- Review summary attached to the batch
- Model version used for the check
- Full audit trail of the review
AI review · Batch 2611
412 entries checked- Missing verificationStep 31 · sifting · sent back
- Missing verificationStep 48 · IPC 10:30 · sent back
- Out-of-limit valuesNone found
- Deviations1 · closed with justification
- Correction patternNo unusual corrections
- DecisionAwaiting QA reviewer
How it flows
- 1
Batch complete
The record is submitted for review.
- 2
AI checks
Every entry is checked against rules and limits.
- 3
Gaps fixed
Missing items go back to the floor.
- 4
QA decides
QA reviews highlights and decides.
What your team works with every day.
Completeness check
Finds blank fields, unsigned steps and missing second-person verifications across the whole record in seconds.
Limit check
Compares every recorded value with the limits in the effective master and lists anything outside them.
Deviation status
Confirms each linked deviation is closed or justified before the record goes to the QA desk.
Pattern signals
Highlights unusual entries, such as repeated corrections by one user or values recorded faster than the process allows.
Send back to the floor
Gaps are routed back to the right operator to complete, with the original timestamps preserved.
Explainable results
Every highlight points to the exact step, field and rule, so the QA reviewer can verify it in one click.
GMP and responsible AI
The rules we hold ourselves to, written into how the product works.
- 01
Only authorised QA personnel review and release batches. The AI highlights issues but never approves or releases anything.
- 02
Records follow data-integrity principles: attributable, legible, contemporaneous, original and accurate, with complete audit trails and electronic signatures.
- 03
Validation for regulated use is done together with you, under your quality system.
- 04
The platform supports, but does not replace, your regulatory responsibilities as the manufacturer.
- 05
Batch data is encrypted, backed up and never sold or used to train models for other customers.
About AI Batch Reviewer
Does the AI release batches?
No. Only authorised QA people review and release. The AI prepares the record and points to what needs attention.
Can we see why the AI flagged something?
Yes. Each highlight shows the step, the value, the rule or limit it was checked against and the source record.
Is our batch data used to train models for others?
No. Your records stay in your workspace and are not shared with other customers.
Your next batch could leave the cleanroom like 2611.
Tell us about your products and lines. We will walk your QA and production heads through one of your own batch records, step by step.
- Record
- Your plant · first production line
- Meaning
- Approved for a live walkthrough
- Signed by
- You, in under two minutes