QA Manager
Deviation loops that run themselves
Role Pain Points
- Deviations found late, relying on manual patrols and after-the-fact reports
- Root-cause analysis depends on individual experience and is hard to reproduce
- CAPA tracking lives in spreadsheets; overdue items go unnoticed
- Quality knowledge is scattered across SOPs and training material, hard to reuse
The Pharmate Way
Pharmate hands the deviation loop to multi-agent collaboration: a Detection Agent monitors CPP parameters and finds deviations automatically; a Tracing Agent performs root-cause analysis on the GraphRAG knowledge graph (identifying human_error / equipment / method / material / environment causes); a Compliance Agent drafts the CAPA ticket with corrective and preventive actions, priority and due date. The whole flow is recorded until verified closure.
Typical Workflow
Risk alerts monitor pH / temperature / DO / agitation with sub-second alarms
Graph root-cause analysis pinpoints causes and contributing factors with evidence chains
Draft → approve → execute → verify → close, fully recorded at every state
Production Supervisor
Know about CPP excursions in seconds
Role Pain Points
- Process parameter anomalies surface late, enlarging batch losses
- Preparing batch-release documentation takes days with tight staffing
- Production and QC data are scattered; consolidation is manual
The Pharmate Way
Risk Alerts monitor critical process parameters in real time, alarming instantly and triggering handling flows. Batch summaries, CPP-CQA analyses and stability reports are generated in one click by Smart Reports; Data Verification checks source consistency and completeness automatically, and Word / PDF exports go straight into the approval flow.
Typical Workflow
CPP monitored in real time; threshold alarms pushed to owners
Batch summary / CPP-CQA / stability reports generated automatically
Export for approval after validation passes — release docs ready same day
QC / QA Analyst
Data checks: from a day to a minute
Role Pain Points
- Checking assay data line by line is tedious and error-prone
- Report writing eats hours; formatting is adjusted repeatedly
- Batch record review relies on eyeballing comparisons
The Pharmate Way
Data Verification runs validation and anomaly detection automatically; Smart Reports draft batch summaries and analysis reports from templates with fully traceable charts and calculations; Record Review uses AI to compare batch record entries against requirements, flagging gaps automatically. Analysts shift from copying-and-checking to reviewing-and-confirming.
Typical Workflow
Consistency and completeness validation runs itself; exception lists surface directly
AI produces the first draft; humans add professional judgment and revisions
Word / PDF dual export, straight into the review flow
Regulatory Affairs
Every submitted number is traceable
Role Pain Points
- Module 3 submissions reference masses of batch data; manual lineage tracing is hard
- Statistical calculations must be re-verified repeatedly — high compliance risk
- ICH requirements evolve fast; self-check lists are maintained by hand
The Pharmate Way
Select batches (≥3) in Submissions to generate an eCTD Module 3 trace-through report automatically: every chart and calculation is traceable to source batch data (data lineage). The system runs CPK/PPK statistics and ICH Q8/Q9/Q10/Q11 compliance pre-checks automatically, presenting status on a red-amber-green risk board so issues surface before filing.
Typical Workflow
Tick the submission batches; the trace-through report assembles automatically
Every chart and calculation leads back to source data
CPK/PPK statistics + ICH checks on a red-amber-green board
Executives / Head of Quality
Ask once, see plant-wide quality
Role Pain Points
- Production and quality data are spread across systems; no global view
- Getting one metric means waiting for staff to compile reports
- Quality trends and risk exposure lack real-time insight
The Pharmate Way
Dashboards let you configure the KPIs and charts you care about — the whole production and quality picture on one screen. The AI Assistant answers natural-language queries like "What is the purity trend of the last 10 batches?" instantly, with no menu-hopping and no query syntax. Executives move from waiting for reports to asking data.
Typical Workflow
KPIs and charts configured around what you watch
Conversational queries against platform data, answered instantly
Deviations, CAPA and release status visible plant-wide