Not every system in a pharma facility is a GxP system We find that a GxP system is a computerised system that creates, modifies, maintains, archives, retrieves, or transmits data affecting pharmaceutical product quality, patient safety, or data integrity. The classification is determined by what the system does β specifically, whether its data or outputs influence quality-affecting decisions β not by where it physically resides or who owns it. An MES (Manufacturing Execution System) controlling batch manufacturing is a GxP system. A visitor management kiosk in the facility lobby is not, even though both operate within the same facility perimeter. The distinction matters because GxP classification triggers specific regulatory obligations: validation, audit trails, change control, access controls, data integrity measures, and periodic reviews. GxP system classification decision tree Question If yes If no Does the system create or modify GMP/GLP/GCP/GDP data? β GxP system β Next question Does the system control a GxP process (e.g., process parameters)? β GxP system β Next question Does the systemβs output influence quality decisions? β GxP system β Not GxP Could system failure affect product quality or patient safety? β GxP system β Not GxP Systems that answer βyesβ to any of these questions fall under GxP scope and inherit regulatory obligations proportionate to their risk classification. Systems that answer βnoβ to all four are not GxP-relevant and do not require GxP validation β regardless of being deployed in a pharmaceutical facility. What are the common GxP systems by type? System type GxP relevance Typical obligations MES / batch record systems High β direct quality impact Full validation, audit trails, Part 11/Annex 11 compliance LIMS High β analytical data integrity Full validation, instrument integration qualification SCADA / process control High β controls manufacturing parameters IQ/OQ/PQ, alarm management validation ERP (quality modules) Medium β quality and materials management Module-level validation, change control Document management Medium β SOPs, batch record templates Validation of workflows, electronic signatures Environmental monitoring High β cleanroom and sterile area data Continuous monitoring validation, alert configuration AI/ML models (quality-affecting) High β decision support or automation Continuous validation, performance monitoring, drift detection AI/ML models (non-quality) Low or none β operational efficiency Proportionate assurance or no GxP validation needed The risk-based validation consequence Once a system is classified as GxP-relevant, the next question is how much validation effort is appropriate. The GAMP 5 framework provides the answer through its software category classification and risk-based approach. A configured LIMS (Category 4) requires different validation activities than a custom AI model (Category 5). Both are GxP systems, but the validation effort is proportionate to the complexity and risk of each. Understanding the full scope of GxP compliance requirements for software is the prerequisite for making accurate classification decisions. Over-classification wastes validation resources. Under-classification creates regulatory exposure. The goal is accurate classification followed by proportionate validation β which is exactly what the current regulatory frameworks expect. How does system classification affect the software development lifecycle? GxP classification determines the level of documentation, testing, and change control required throughout the software lifecycle. Non-GxP systems follow standard software engineering practices. GxP-regulated systems require formal validation activities at each lifecycle phase, with documented evidence that each requirement has been implemented and verified. The classification decision cascades through the entire project: team structure (a Quality Assurance representative must be involved), documentation requirements (formal requirements specifications, design documents, and test protocols), change management (every change requires impact assessment and re-validation), and operational procedures (incident handling, backup verification, and periodic review follow documented SOPs). For GAMP Category 4 systems (configured products), the validation burden is moderate β vendors provide baseline validation packages, and the implementing organisation validates the specific configuration. For Category 5 systems (custom applications), the full validation lifecycle applies: requirements specification, functional specification, design specification, code review, unit testing with documented evidence, integration testing, and user acceptance testing β all with formal sign-off and traceability. We help clients right-size the validation effort based on accurate system classification. Over-classification (treating a Category 3 system as Category 5) wastes resources on unnecessary documentation. Under-classification (treating a Category 5 system as Category 3) creates regulatory risk when inspectors review the validation evidence. The classification assessment typically requires 2β3 days of analysis and saves weeks of misdirected validation effort. The classification decision should be documented and reviewed by a cross-functional team including IT, Quality, and the systemβs end users. Each stakeholder brings a different perspective on the systemβs impact: IT understands the technical architecture, Quality understands the regulatory implications, and end users understand which business processes depend on the system. A classification decision made by IT alone risks underestimating the regulatory impact; a decision made by Quality alone risks overestimating the technical complexity. The collaborative assessment produces a classification that is both technically accurate and regulatorily defensible.
