Paperless validation was the industry's big change of the last decade. Protocols moved from binders to controlled electronic systems. Signatures stopped being chased around the building. Records became searchable. That was real progress, and many companies are still completing it.
But paperless was the first step, not the destination. It changed where validation work happens. It did not change how much of it there is.
What paperless solved
Paper validation had obvious problems: lost pages, illegible entries, transcription errors, slow review, and records nobody could find during an inspection. Digital execution platforms solved most of these. Their value is clear, and it is why products like Kneat, ValGenesis and Veeva Vault Validation Management are now standard in many companies.
What it left alone
Look at where validation hours go in a paperless programme and the picture is familiar. People still write requirements, risk assessments and test scripts largely by hand, using templates. They still execute tests step by step and capture evidence. They still maintain traceability, often in tables that need updating whenever something changes.
The work is tidier and more controlled, but for most teams it is not yet much smaller. The established vendors know this: ValGenesis, Kneat, MasterControl and Veeva have all been adding AI to their products since 2025. For a small quality team, the size of the work is the problem that remains.
The next step: less authoring, same accountability
The next change is about the work itself. Software can now draft much of the routine content, such as requirement analysis, risk assessments, test cases and traceability, from the material a team already has. Qualified people review, correct and approve it. The judgement and the accountability stay with them.
Execution can change too. For many systems, approved tests can be run by automation that captures evidence consistently, instead of a tester taking screenshots. The key is that automation runs only what a person has approved, and that every result is checked.
What must not change
None of this removes the need for human decisions. A draft is not an approval. An automated run is not a judgement about whether the result is acceptable. Regulators are clear that responsibility stays with the regulated company, and the draft EU GMP Annex 22, still a consultation draft, points the same way for AI.
The companies that do this well will be the ones who design the human decision first and fit the automation around it.
What it means for buyers
If you are choosing a validation platform today, ask two questions, not one. Does it make the work controlled? And does it make the work smaller? Paperless platforms answered the first. Every serious vendor, us included, is now working on the second, so test each one on your own material. Our post on AI drafts, a human approves, a machine runs explains how we approach it, and our guide on how to choose a validation platform covers the wider selection.
Where to go next
Explore GxP Copilot for AI-native validation, TraceDraft for source-traceable clinical documentation, or book a demo to see either on your own data.