Three arguments we keep having with CIOs, quality leaders and programme directors — written down so the conversation can start further along.
Enterprise AI programmes are reaching for autonomous action on knowledge that was never captured in the first place. The context layer now being sold — architectural maps, document indexes — is real and useful, and all of it is bounded by the recorded. The reasoning that decides your edge cases is not in there, and no connector reaches it.
The Quality Management System Regulation has been in force since 2 February 2026, incorporating ISO 13485:2016 by reference into 21 CFR Part 820. The run-up is over. Demonstrated system understanding has become something you get asked for, not something you plan for — and retrospective validation is not an acceptable answer.
MedTech is among the most acquisitive industries there is. Every deal brings orphaned platforms, custom logic nobody can read, and a small team who know it all and are outside the org chart within twelve months. The window to capture what they know closes long before the integration programme reaches them.
Written for the people who have to answer for these systems — not for search engines.
Thirty minutes to find where your knowledge risk is highest. If there is a fit, we start with a proof of concept on one system you name — at near-zero cost, in your cloud, with the deliverable assigned to you.