GMP-Ready AI Platform

Deviation reports written
before QA sits down.

DeviationIQ turns your deviation form into a complete, audit-ready investigation report — root cause, 5 Whys, CAPA, and all — in seconds. Built for biotech and pharma manufacturing teams who can't afford to slow down.

18–30
Industry avg. days to close a major deviation
<5min
To generate a full AI investigation draft
70%
Reduction in QA investigation time
#1
FDA citation: inadequate investigations (21 CFR 211.192)
Root Cause Analysis 5 Whys Generation CAPA Documentation Impact Assessment Deviation Classification Trend Detection PDF & Word Export Template Standardization Audit Trail QA Review Workflow Root Cause Analysis 5 Whys Generation CAPA Documentation Impact Assessment Deviation Classification Trend Detection PDF & Word Export Template Standardization Audit Trail QA Review Workflow

GMP deviation management
is stuck in the past.

Hours lost per event

QA specialists spend 3–5 hours per deviation writing root cause narratives, CAPA plans, and impact assessments from scratch — for every single event.

📋

Inconsistent formats

Reports written by different investigators vary in structure, depth, and terminology — creating review bottlenecks and audit vulnerabilities.

🔁

Repeat deviations go unnoticed

Without trend analysis, the same root causes surface over and over. No one connects the dots until an FDA inspector does it for you.

🗂️

Legacy QMS = more work

Platforms like MasterControl and Veeva are built for compliance storage, not investigation intelligence. Your team still writes everything by hand.

From event to report
in three steps.

DeviationIQ handles the documentation heavy lifting so your QA team can focus on what actually matters — reviewing, approving, and preventing the next one.

01
📝

Submit the Deviation Form

Your team enters what happened, when, and where. No lengthy write-ups required — just structured inputs about the event.

02

AI Generates the Report

DeviationIQ's AI drafts the full investigation report — deviation type, root cause analysis, 5 Whys, impact assessment, and CAPA recommendations — calibrated to your site's templates and standards.

03

QA Reviews & Finalizes

QA opens the pre-written report, edits any fields, adds comments, and pushes to finalized. Export as PDF or Word and you're done.

Everything QA needs.
Nothing they don't.

Built specifically for GMP manufacturing — every feature maps to a real bottleneck in your investigation workflow.

🧠

AI-Generated Investigations

Full root cause analysis, 5 Whys, deviation classification, and impact assessment drafted automatically from your form inputs.

🛡️

CAPA Recommendations

Suggested corrective and preventive actions based on the deviation type and historical patterns from your site data.

✏️

QA Edit & Comment Layer

Every AI-generated field is editable. QA can annotate, revise, and approve inline before finalizing.

📈

Trend Analysis & Insights

Identify repeat deviations, recurring root causes, and high-risk areas across your deviation history — before your next audit.

📄

PDF & Word Export

One-click export to audit-ready PDF or editable Word documents. Formatted to your site's standards automatically.

🗂️

Template Standardization

Upload your existing deviation report template. The AI will write every new report to match your terminology, structure, and style.

Designed with compliance in mind.

DeviationIQ is built from the ground up for validated GMP software environments. Accuracy, traceability, and data integrity aren't afterthoughts — they're the foundation.

🔒
Full Audit Trail
Every edit, comment, and approval is timestamped and attributed.
🏭
GMP-Ready
Designed for 21 CFR Part 211 and EU GMP Annex 11 environments.
🔐
Org-Level Security
Multi-tenant architecture with row-level data isolation per site.
📊
Data Integrity
Immutable record history. Nothing is deleted, everything is traceable.

See DeviationIQ
on your deviations.

Book a 30-minute demo. We'll run a live deviation through the system using your actual report format and show you the output.