
Quality / Digital / Software
eQMS workflow digitisation
Moving deviation, CAPA and change control from paper forms to linked electronic workflows.
Illustrative use caseCapability
GxP compliance, validation and documentation practices that make pharmaceutical work traceable, reviewable and inspection-ready.


Quality is designed into how work is planned and recorded, not added at the end. We help teams build procedures, validation packages and quality records that are proportionate, consistent and easy to review.
DGXPComplianceLab does not issue certifications or regulatory approvals. We support organisations in meeting the expectations of the frameworks below.
Each activity shows who performs it. We do not claim facilities we do not own.
DGXP-led Led by the DGXPComplianceLab team Partner-coordinated Performed by a qualified partner, coordinated by us
Current practice compared with applicable expectations.
CSV and CSA plans, testing and reports.
Data flow mapping, audit-trail review and ALCOA+ controls.
FMEA and risk ranking per ICH Q9(R1).
SOP systems, templates and good documentation practice.
Mock audits, storyboards and CAPA follow-up.
CMC inputs, change assessments and submission support documents.
Support for meeting these expectations. No certification or regulatory approval is implied.
Good practice for manufacturing and quality systems (21 CFR 210/211, EU GMP).
Non-clinical laboratory studies and clinical trial conduct.
Good distribution practice for storage and transport.
Electronic records and electronic signatures (US FDA).
Computerised systems in EU GMP.
Attributable, legible, contemporaneous, original, accurate — complete, consistent, enduring, available.
Computerised system validation and risk-based computer software assurance.
Fit-for-intended-use evidence for AI-enabled systems.
ICH Q9(R1) quality risk management across the lifecycle.
Documents we write, review or structure within projects.
Illustrative use cases showing how this capability is typically applied.

Quality / Digital / Software
Moving deviation, CAPA and change control from paper forms to linked electronic workflows.
Illustrative use case
AI / Quality / Software
A validation approach for AI-enabled GxP applications, from intended use to monitoring.
Illustrative use case
Regulatory / Manufacturing / Quality
Building a complete documentation set for transferring a product between sites.
Illustrative use caseEvery engagement follows the same eight steps, scaled to the size and risk of the project.
Understand business and technical requirements.
Assess scientific, technical, regulatory and operational requirements.
Design the appropriate solution.
Identify appropriate internal and external capabilities and partners.
Coordinate and execute the project.
Test, verify, qualify or validate where applicable.
Create technical, quality and regulatory documentation.
Monitor, optimise and continuously improve.
AI is not implemented simply because it is available. In pharmaceutical work it needs an intended use, a risk assessmen…
Engineering pharmaceutical technology the way it will be inspected: requirements first, designed and built to them, the…
Software designed around pharmaceutical workflows — requirements, workflow design, validation and documentation include…
No. Certification and approval come from regulators and accredited bodies. We help organisations prepare and improve.
CSA is FDA’s risk-based approach to computer software assurance: it focuses effort on features that affect product quality and patient safety and accepts unscripted testing where risk is low. CSV is the broader validation discipline.
Yes — procedures written with your process owners so they reflect how work is actually done.
Share the product, stage and timeline. Capability is confirmed after technical assessment and partner availability.