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FDA PCCP · EU AI Act Annex III · Validation-First AI

The AI-Integrated QMS for GxP Manufacturing Exception-based quality review. Human-in-the-loop control. Validation-first, audit-ready by design.

Whether you're a sponsor overseeing multiple CMOs, a manufacturer running complex internal processes, or a CDMO serving demanding clients — your quality team is reviewing thousands of documents by hand. NexGen GxP AI reviews the complete batch documentation package, cross-checks every record, and surfaces only the exceptions that need human judgment — with mandatory HITL oversight, an immutable audit trail, and the IQ/OQ + PCCP-aligned validation evidence to defend it in an inspection. In April 2026, FDA issued its first Warning Letter citing AI misuse in GMP manufacturing (Purolea, MARCS-CMS 722591). AI you can defend to an inspector is no longer optional.

FDA PCCP Predetermined Change Control Plan EU AI Act Annex III Enforcement Dec 2, 2027 HITL Gate 21 CFR 211.22(c) IQ/OQ/PQ Pre-Built Validation Artifacts
The Problem

Three compounding pressures pharma sponsors can no longer ignore

Phase 3 and commercial pharma companies outsourcing manufacturing to CMOs face a structural quality management problem — and the regulatory clock is ticking.

One Quality Manager. Multiple CMOs. Thousands of Documents.

Phase 3 and commercial pharma companies outsourcing manufacturing to 2–5 CMOs face a structural problem: one quality team, unlimited document volume. Batch manufacturing records, Certificates of Analysis, deviation reports, and CAPA responses arrive from each CMO in different formats, on different timelines. The manual review burden is unsustainable — and the risk of missing a critical quality signal in that volume is real.

FDA Is Already Enforcing — and EU Enforcement Is Approaching

FDA issued its first Warning Letter citing AI misuse in GMP manufacturing in April 2026 (Purolea, MARCS-CMS 722591). FDA's stated standard: all AI outputs in manufacturing require Quality Unit review. FDA PCCP guidance is final. EU AI Act Annex III enforcement arrives December 2, 2027. Every company using AI in quality review without a documented HITL gate now has active enforcement exposure.

No Platform Is Built for the CMO-Sponsor Quality Model

Generic AI platforms have no HITL gate and no regulatory validation — exactly the gap FDA just acted on. QMS vendors manage your internal documents, not your CMOs'. Consultants review documents manually at hourly rates, without the institutional memory to recognize patterns across batches or suppliers. No platform is designed to give a pharma sponsor real-time, audit-ready visibility across the entire CMO supply chain.

Our Platform

Built for the CMO-sponsor quality model — not adapted to it

NexGen GxP AI is designed around the specific workflow of a pharma sponsor receiving quality documentation from multiple contract manufacturers. One platform. Every CMO. Every document type. Audit-ready from day one.

Pre-Built Validation Framework

Our AI-extended V-model includes pre-built IQ/OQ/PQ templates, AI Performance Requirements specifications, and Ongoing Performance Monitoring protocols — built around FDA CSA, Annex 11, and PIC/S from the ground up.

  • Classification matrix — batch release, clinical, scheduling, agentic orchestrators
  • Risk-based qualification — FMEA for AI decision points with human oversight mapping
  • 8-document validation package — Validation Plan through Ongoing Monitoring Plan

Audit-Ready Agentic Architecture

Every agent action touching a GxP record generates a complete, immutable audit entry. Every decision is traceable. Every change is assessed for regulatory impact. Every human gate is enforced.

// Audit trail entry — batch release AI
agentId: "nexgen-release-v2.1.4"
decision: "RELEASE — Batch 24-1103A"
rationale: "All 14 CPPs within spec"
inputHash: "sha256:a3f8c2..."
confidence: 0.9983
humanReview: true
timestamp: "2026-03-30T14:22:07Z"

Use Cases

CMO document review is the first module. The platform is designed for more.

Our validation-first agentic architecture is built around the documents that matter most to a pharma sponsor — starting with what arrives from your CMOs every batch cycle.

Shipping Now

CMO Batch Release Review

AI-assisted review of Batch Manufacturing Records, Certificates of Analysis, deviation reports, and CAPA closures arriving from your CMOs — with mandatory HITL gate, full audit trail, and PCCP-supporting IQ/OQ documentation.

In Development

OOS Detection & Deviation Management

Automated out-of-specification detection with deterministic root-cause analysis assist, CAPA linkage, and real-time SPC monitoring across production lines.

Roadmap

MES & LIMS Integration · Clinical AI · Supply Chain

Validation-first AI modules for MES workflow orchestration, LIMS data interpretation, clinical supply planning, and supplier quality management — all on the same audit-ready infrastructure.

Regulatory Coverage

Mapped to the regulations that govern your operations

Our platform is designed against the specific requirements of the frameworks your quality team already knows — not adapted after the fact.

FDA PCCP Final Guidance (2024) EU AI Act Annex III 21 CFR Part 211.22(c) · HITL Gate 21 CFR Part 11 FDA CSA (2022) EU GMP Annex 11 PIC/S PI 011-3 ICH Q10 / Q12
Competitive Landscape

Why generic AI vendors and consultants fall short

CapabilityNexGen GxP AIGeneric AI VendorsTraditional Consultants
Pre-built validation templates (IQ/OQ/PQ)✓ Core
Audit-ready architecture from day one✓ CoreMonths to build
Agentic AI expertise✓ CorePartialRare
21 CFR Part 11 / Annex 11 native✓ Mapped by designPartial
Mandatory HITL gate (21 CFR 211.22(c))✓ Enforced
PCCP-supporting IQ/OQ documentation✓ Included
Continuous drift monitoring✓ Built-in SPCPartial
AI change control automation✓ AutomatedManual
CMO-sponsor quality management model✓ Purpose-built

Managing CMO quality with limited headcount?

We offer a focused 30-minute briefing for quality and operations leadership — a candid look at how NexGen handles your CMO document volume with full audit-readiness.

Request a Briefing