ZANUS AI FOR PHARMA & BIOTECH — AUTOMATIONS
Describe the job in plain words — “when a supplier COA arrives, file it to the material record and flag any out-of-trend value” — and it becomes connected blocks on a canvas, running on its own, with every run visible and retryable.
Private tenant or your own server · unlimited users · GxP-conscious architecture

A real flow: inbox trigger, record sources, AI compile, three outputs — drawn from a plain description.
A deviation is logged; the flow pulls the batch record and SOP, drafts the narrative and a proposed CAPA, and queues both for QA — the clock starts working for you.
Incoming certificates of analysis routed to the right material record, values extracted, out-of-trend results flagged for the quality team — no inbox archaeology.
The monthly stability summary, the quarterly deviation trend report, the annual product review skeleton: compiled on schedule, filed to Output, on time every time.
Run states live on the flow: green success, red failure on the exact block that broke. A missed COA or an unfiled deviation narrative is visible the moment it happens — with a one-click retry and a run log the auditor can read.

Your rules: queue everything for human approval, or auto-run only the steps your quality unit designates as safe. Approval gates are blocks on the canvas — visible, not buried.
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