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QA

Quality Assurance — QMS

Deviation, change, CAPA, complaint, audit and training in one system

Quality assurance is where a regulator looks to see whether the plant learns from its own problems. Every element of the quality system is linked here — a deviation can raise a CAPA, a CAPA can drive a change control, a change control can trigger retraining — and the whole chain is visible in one review.

Event to closure
01
Deviation
02
Investigation
03
CAPA
04
Change control
05
Effectiveness
Capabilities

What Quality Assurance — QMS covers

Events

  • Incident and deviation with classification, investigation and impact assessment
  • OOS, OOT and CAPA with effectiveness checks that must close before the record does
  • Market complaint handling through to investigation and customer response
  • Recall and mock recall execution using batch genealogy

Control

  • Change control with impact assessment, approvals and effective date
  • SOP management with versioning, periodic review and read-and-understood records
  • Training management linked to SOP versions and to role qualification
  • Vendor audit and approved vendor list maintenance

Oversight

  • Internal and external audit management with findings and closure tracking
  • Risk management with assessment, mitigation and residual risk
  • APQR with data pulled from production, QC and complaints
  • Trend analysis across batches, materials and products
AI in this module

What the system notices for you

Suggestions only. Nothing here signs, approves or dispositions anything — a qualified person decides and the audit trail records who. Every model shows the data behind its suggestion, and every feature can be switched off per site.

DeepPharma AI

Deviation clustering

Groups deviations by underlying cause rather than by category, so a repeat problem is visible before the annual review finds it.

DeepPharma AI

CAPA effectiveness prediction

Compares a proposed action against what has actually worked for similar events in your own history.

DeepPharma AI

APQR narrative drafting

Assembles the first draft of the review from the year's data, leaving the interpretation to your QA head.

DeepPharma AI

Complaint-to-batch correlation

Links incoming complaints to batch, line, shift and material lot to find the pattern early.

How the AI works across the plant
Questions

Quality Assurance — QMS — common questions

Can a deviation be raised from the batch record?

Yes, inline from the failed step. The deviation carries the step context — product, batch, stage, equipment, operator, parameter and limit — so the investigator starts with the facts already attached.

How is APQR produced?

Data is pulled from production, QC, deviations, complaints and change control across the review period. The AI drafts a narrative from that data, and your QA head edits and approves it. The system never signs the review.

See it on your own floor.

Two hours with your production and QA leads. We walk one product end to end and show you where it lands in the system — then you decide whether a gap study is worth it.