In a pharmaceutical company, every system that touches the product, a batch or patient data must be proven, not merely switched on. For a quality director, a Validation Lead or an IT director, that means an IT system is part of the compliance evidence, not a convenient add-on to the process. Computer system validation (CSV) is precisely the work of building that evidence: proof that the software behaves as intended, repeatably, and in line with its requirements.
In our experience, the bottleneck is not knowing what needs to be done but having the people who will do it properly and on time. For a global pharmaceutical leader we have, since 2021, staffed a team that includes, among others, Validation Managers and a QA Lead working in a regulated environment. These are exactly the skills that run short when a project moves faster than a quality department can grow.
What is computer system validation (CSV) and why does it matter?
It is documented confirmation that a system does exactly what it was meant to do. In practice, CSV answers an auditor’s simple questions:
- does the system do what it should and only that,
- does it work repeatably in the real environment,
- do we have evidence for it, rather than assurances,
- do we know what has changed since the last qualification.
Without validation you cannot demonstrate data reliability, and that reliability is what underpins a batch release or a study result.
What is GxP and why is software part of the evidence?
GxP is the set of good practices (GMP, GLP, GDP and related) that govern quality across the chain, from manufacturing through the laboratory to distribution. One principle ties them together: if something is not documented, it did not happen. Because almost every step now relies on a system, software has stopped being a neutral tool and has become a carrier of evidence:
- the system stores the data on which quality decisions are made,
- the system performs operations that a person used to do,
- the system records the audit trail, which must be complete and intact.
That is why validating a system is not an IT formality but part of defending quality in front of an inspection.
Which GxP documentation artifacts are key?
Evidence is built from specific, interconnected documents. On validation projects we focus on the package that actually goes through an audit:
- a validation plan describing scope, approach and acceptance criteria,
- a requirements and traceability matrix linking each requirement to a test and its evidence,
- IQ/OQ/PQ qualifications (installation, operation, performance),
- test evidence (protocols, results, screenshots, deviations),
- qualification packages and a validation report that close the whole thing out.
The decisive factor is the consistency between these documents, because an auditor reads them as one logical chain of evidence.
Why does a risk-based approach make sense?
Not everything needs to be validated with the same intensity, and that is good news for the budget. A risk-based approach directs effort where the risk to the patient, the data and quality is greatest:
- critical functions first, for product quality and data integrity,
- a testing scope proportional to the weight of the risk,
- less paperwork where risk is low, without losing compliance.
A common framework for this thinking is GAMP, which helps match the depth of validation to the system category. We treat it as a reference point, not a rigid stack of forms.
What is the role of a Validation Manager and QA?
These are the two roles that make sure the evidence is complete and credible. The Validation Manager runs the process and owns the strategy, while QA guards compliance and the quality of the documentation. In practice:
- the Validation Manager plans validation, manages risk and oversees qualifications,
- QA approves documents and safeguards procedures and data integrity,
- both speak the auditor’s language, not only the engineer’s.
Our specialists step into these roles at the client, under the client’s procedures, and close out the documentation rather than creating new bureaucracy.
How do we build validation into delivery, not alongside it?
The most expensive validation is the one done at the end, when the system already stands and the documents have to be reconstructed after the fact. So we weave validation into the delivery cycle from the start:
- we write requirements to be testable, so they can be verified straight away,
- we build traceability in parallel with development, not afterwards,
- we collect evidence as we go, at every meaningful step,
- we control changes, so each one leaves its trace.
That way validation stops being a bottleneck before go-live and becomes a natural part of the team’s work.
Can you automate validation documentation?
Yes, and we increasingly do, because repeatable documentation is an ideal field for automation. We automate the generation and linking of artifacts where a person adds value through judgment rather than retyping:
- templates and generators for protocols and traceability matrices,
- automatic evidence collection from tests and pipelines,
- consistency checks between requirement, test and result.
Optionally we add an AI layer to draft and tidy up documentation, always with a human approving the content. Automation speeds things up, but responsibility for the evidence stays with QA.
How fast can a validation team join a project?
Speed matters, because delayed validation delays the whole product. As a nearshore partner from Poland we work in a close time zone, so a Validation Manager or QA specialist joins the reviews, procedures and meetings without a long ramp-up. We verify skills before the start and shape the team around the specific system and its risk category, not “just in case”. That way the team starts closing out documentation instead of first learning the context.
How do we do it at RITS?
We do it as a nearshore partner from Poland that supplies people to work in a regulated environment, rather than a ready-made box:
- for a global pharmaceutical leader we have, since 2021, staffed a team of around 40 specialists that includes, among others, Validation Managers and a QA Lead,
- our scope covers, among other things, pharmaceutical production support and medical device development,
- we work under the client’s procedures, inside the client’s quality system, topping up skills where they are missing,
- we verify skills before the start and staff the roles to the specifics of the system and its risk.
Most often we do this as team augmentation, because in validation what counts is specific people with GxP experience, not an abstract service.
Where to start with validation and documentation in GxP?
Start with an inventory of your systems and their risk categories, then with the question of where you are short of hands: planning, qualification or keeping the documentation alive. That defines which roles you actually need to staff and in which model. We covered the differences between engagement models in our article on IT engagement models.
Need Validation Managers or QA specialists for CSV and GxP documentation? Let’s talk - we’ll match people to your systems and procedures.