A complaint about a device doesn’t stay a complaint for long.
It becomes a trend line. Quality has to ask: is this within what we expected, or has it crossed the threshold that triggers a Corrective and Preventive Action (CAPA)? If it has, the next question is scope: which design, which model, which lot. The Unique Device Identifier on the device, made up of a device identifier (often a GTIN) and a production identifier carrying lot, serial, and expiration data, is what lets a team answer that precisely. And if it escalates to a Field Corrective Action, someone has to notify every affected distributor and provider, fast, with the paper trail to prove it.
None of that is safe to hand to a public model. Complaint narratives carry patient details. Investigation files carry PII (Personally Identifiable Information) alongside proprietary design data.
Where Pensato Fits
Pensato sits between your Quality Management System (QMS), Enterprise Resource Planning (ERP) system, and supplier records, and whatever model does the reasoning. It detects PII, swaps it for secure tokens, and only then does a local LLM read the sanitized record, running as local AI on infrastructure you control. Your team still makes the call. The audit trail is built-in.
This is one scenario. Our earlier post on Pensato for Life Sciences & MedTech goes deeper across the full picture, from clinical trials to contract research.
Lead, Don’t Follow
Too often, device manufacturers will wait for a warning letter to force this conversation. The ones who don’t are already bringing in a Fractional Chief AI Officer (CAIO), embedded alongside their CTO and manufacturing leadership for a focused 3–6 month engagement, to get their AI governance built into the quality system now.
Lead on this. Don’t wait for the pack to catch up.