Surface compliance gaps before inspectors find them.
Continuous readiness scans against your frameworks — scored, prioritized, and turned into work before the audit notice arrives.
Part 11 made audit trails mandatory, so every system writes one — into a table nobody opens until a regulator asks. Meanwhile the trail quietly records the patterns that become findings: the review that always happens at 4:58 on Fridays, the corrections that cluster around one workstation, the record activity that stopped when it should not have.
FDA’s data integrity guidance expects audit trail review as a routine control. Done by hand, it is a soul-crushing task that gets skipped; skipped, it becomes the finding itself.
Part 11 requires secure, computer-generated, time-stamped audit trails that record operator entries and actions. FDA’s data integrity guidance goes further: audit trails subject to regular review, with attention to changes to critical data. ALCOA+ frames the standard — attributable, legible, contemporaneous, original, accurate — and the trail is where those properties are proven or broken.
A trail nobody reviews satisfies the letter and fails the intent. Kintavo reviews its own: baselines learned from your operation, deviations from pattern surfaced daily, and the review itself documented — closing the loop the guidance asks for.
Tuesday’s brief flags two items. One is expected — month-end training completions. The other is not: QC corrections on one analyzer cluster on weekend shifts, eleven in three weeks. The quality manager escalates it to a deviation with the trail excerpt attached; the investigation finds a calibration drifting on Saturdays after a Friday power cycle. The pattern an inspector would have found in March was found — and fixed — in January.
Audit Intelligence™ shares the same data model, AI engine, and audit trail as the other eighteen modules — so its records see, and are seen by, everything else in your quality system.
It operationalizes them: exceptions are surfaced daily, each flag is dispositioned, and the review itself is documented — the evidence FDA’s data integrity guidance expects, produced as a byproduct of a five-minute brief.
Deviation from your operation’s learned baseline: off-hours activity, correction clusters, batch-signing patterns, activity gaps. Thresholds are configurable, and every flag shows its underlying records.
Yes — one click opens a deviation with the trail excerpt attached, so escalation carries its evidence with it.
Any slice — by record, user, or time window — exports in minutes, alongside the documented review history. That combination is what turns a request into a non-event.