Validated systems that survive inspection
Manufacturing, quality and clinical systems all sit inside a regulated perimeter. Anything built inside it has to be able to prove what it did, long after it did it.
In pharmaceuticals the software is rarely the hard part. Producing the evidence that the software does what the procedure says it does — every time, for every batch — is where programmes lose their year.
What we bring, and what it changes
Validated systems, serialisation mandates and trial data all have to stand up to inspection, while the commercial side needs the same information moving at speed.
Filed under Health & life sciencesWhat makes a pharma build different
Four constraints shape the design before a platform is chosen, and each one costs several times more to retrofit than to build in.
Validation burden
Nothing goes live on a demonstration. It goes live on qualification evidence — specification, test, traceability — and that documentation is part of the deliverable, not a phase bolted on after it.
Regulated records
Electronic records and signatures carry obligations of their own: who did what, against which version, on an audit trail nobody can quietly amend.
Serialisation
Unit-level identifiers have to be generated, applied, verified and exchanged with partners whose systems reject anything that does not conform.
Change control
A fix that would take an afternoon elsewhere moves through assessment, approval and revalidation. A design that ignores that costs the programme its schedule.
The systems one batch touches
Each of these already exists in most pharma estates. The work is making them agree about the same batch, lot and material.
- ERP and supply planning
- MES and batch execution
- LIMS and laboratory instruments
- QMS, deviations and CAPA
- Serialisation and repository partners
- Clinical and study data systems
Building inside a validated perimeter
Assess the risk
Which parts of the system touch product quality or patient safety, and therefore how much evidence each part has to carry.
Specify
User and functional requirements written so they can be tested — because every one of them will be.
Build and qualify
Development against those specifications, with installation, operational and performance evidence produced as the work proceeds rather than reconstructed at the end.
Release
Approved change control, trained users, and a traceability matrix mapping every requirement to the test that proves it.
Maintain
Periodic review and controlled change, so the validated state stays a fact rather than a claim made at go-live.
What pharma teams ask first
Does validation mean we cannot work in increments?
No. It means the evidence has to accumulate with the increments. We deliver iteratively and produce qualification documentation per increment, so the validated state is never something to be caught up on in the last month.
Can GxP workloads run in the cloud?
Yes, with qualification of the infrastructure treated as part of the scope — supplier assessment, qualified environments and controls you can demonstrate. Most of our regulated hosting work is cloud, not despite the obligations but because the evidence is easier to produce.
Where does serialisation usually go wrong?
At the partner boundary. Generating and applying identifiers is the tractable half; exchanging them with contract manufacturers, wholesalers and repositories on their terms is where programmes stall. We treat partner onboarding as its own workstream from the start.
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Read moreStart with your sector
Tell us which of these you operate in and where the systems are getting in the way. We will come back with the practices, the people and a realistic sequence.