A risk-based, CSA "validation-by-design" rationale for the Mock-FDA-Inspection rehearsal and its Evidence Pack — the context of use, the assurance it warrants, and the controls that keep it from becoming a compliance liability.
Demonstration sample · draft for qualified reviewPharmTech.AI Mock-FDA-Inspection is an AI-assisted training and rehearsal simulation. A cohort of pharma personnel responds to simulated inspection stations; the system scores their decisions against operator-authored, SME-reviewed ideal answers and produces a Readiness Evidence Pack (a coaching debrief). Intended users: site quality, manufacturing, and L&D teams preparing for a scheduled PAI, a routine GMP inspection, or post-483 readiness.
| GxP process touched | Personnel readiness / training preparation — adjacent to, but not part of, any record-generating GxP system. |
|---|---|
| Records created | A training/rehearsal coaching record (the Evidence Pack). It is not a 21 CFR 211.25 training/qualification record and is not filed as a GxP record by the system. |
| Decision authority | Every consequential judgment (qualification, release, disposition, CAPA) remains with the customer's own personnel and QMS. The system advises and rehearses; it never decides. |
| Risk dimension | Impact of an AI error | Rating |
|---|---|---|
| Patient safety | Indirect at most — the system informs training only; it does not touch product, process, or release. | Low |
| Product quality | Indirect — no batch, in-process, or disposition decision is taken by the system. | Low |
| Data integrity | Outputs are training records, version-controlled and attributable; they do not enter the validated GxP data flow. | Low |
Assurance tier (CSA, risk-based): Low — leveraged / unscripted + targeted scripted testing. Because the system makes no GxP decision and writes to no GxP record, assurance effort is focused on the two things that carry real consequence: content validity (citations and ideal answers) and reproducibility — not on exhaustive scripted testing of a record-keeping system it is not.
| Criterion | Acceptance |
|---|---|
| Content validity | 100% of citations and ideal answers in a released scenario are SME-approved and version-pinned. |
| Reproducibility | Identical inputs produce a scored Evidence Pack within a defined scoring tolerance — and the same readiness band and per-theme pass/practice classification — across re-runs (pinned model + prompt + scenario versions), verified against golden cases. Not a claim of bit-level determinism. |
| Boundary visibility | The CSA context-of-use statement renders on every Evidence Pack. |
| Completeness | Every theme returns a station, decision, ideal answer, citation, rationale, and score. |
| Attribution | Inputs, outputs, and human overrides are captured with user + timestamp. |
Training records are Attributable (named/role + timestamp), Legible, Contemporaneous (captured at run close), Original and Accurate to the run, with completeness, consistency, enduring storage, and availability for the customer's review. Scenario/scoring content is version-controlled with provenance printed on the artifact.
Validation Rationale · template v0.3 · 2026-06-23 · aligned to CSA / GAMP 5 (2nd ed.) risk-based principles
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Get the free Warning Letter Brief Request a pilot →Demonstration sample. Illustrative validation-by-design rationale for evaluation; not a completed validation deliverable. Content is illustrative and pending SME and customer sign-off.
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