GMP-Compliant ERP for Pharmaceutical Manufacturing

Manage batch manufacturing workflows, ensure end-to-end traceability, and maintain GMP-compliant quality control with an AI-native platform built for pharmaceutical precision.

The Problem

Pharma Manufacturing Demands Compliance and Traceability That Generic ERP Cannot Deliver

Batch Traceability Gaps

Regulatory requirements demand complete forward and backward traceability that standard production systems cannot provide.

GMP Compliance Complexity

Managing SOPs, change controls, deviations, and OOS results within a single system is beyond generic ERP capability.

Quality System Disconnection

Disconnected lab, QA, and production systems create data reconciliation burdens and audit readiness gaps.

Shelf Life and Expiry Management

Without pharmaceutical-specific inventory logic, expiry tracking and FEFO execution remain error-prone.

The Enjen Approach

Designed for Compliance, Safety, and Traceability

Enjen's pharmaceutical module is built around the core regulatory and quality requirements of GMP manufacturing—batch records, deviation management, CAPA workflows, and complete chain-of-custody traceability. Every workflow is designed to meet regulatory expectations while streamlining operations.

  • Batch manufacturing workflows with electronic batch records
  • End-to-end traceability from raw material to patient delivery
  • GMP-compliant quality control and deviation management
  • Regulatory reporting and audit trail built into every transaction
Pharma ERP — Batch Manufacturing & Compliance Dashboard
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02 · Compress24
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04 · QC100%
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Core Capabilities

Pharmaceutical Manufacturing Intelligence Built for Compliance

Batch Manufacturing Records

  • Electronic batch record management
  • Formula and BOM version control
  • Batch release workflow management

GMP Quality Management

  • Deviation and OOS management
  • CAPA tracking and closure
  • Change control workflows

Regulatory & Compliance

  • Audit trail and 21 CFR Part 11 readiness
  • Regulatory submission support
  • SOPs and document control

Material Traceability

  • Raw material supplier COA tracking
  • FEFO inventory management
  • Quarantine and release management

Lab & QC Management

  • LIMS integration for lab results
  • In-process testing workflows
  • Stability study management

Production Planning

  • Capacity-aware batch scheduling
  • Equipment qualification tracking
  • Cleaning validation management
AI Layer

AI That Enhances Compliance and Operational Efficiency

In pharmaceutical manufacturing, AI is not just about optimisation—it's about risk reduction. Enjen's AI identifies deviation patterns, predicts compliance risks, and recommends preventive actions before regulatory issues arise.

Deviation Pattern Detection
Compliance Risk Prediction
CAPA Effectiveness Analysis
Batch Release Optimisation
Regulatory Readiness Scoring
AI Engine
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Recent decisions
  • Demand +12.4% next week
  • CNC-3 maintenance scheduled
  • Order #4521 rerouted to Plant B
Role-Based Use Cases

Built for Pharma Operations and Quality Teams

Integration Flow

Pharma Intelligence Across the Compliance Chain

The pharma module connects supplier qualification in SCM, batch production in ERP, laboratory systems (LIMS), quality management, and regulatory documentation—creating a fully traceable, audit-ready manufacturing environment.

Supplier & RM

COA & qualification management

Pharma ERP Core

Batch mfg & GMP compliance

Quality & LIMS

Lab, QC & deviation mgmt

Regulatory

Audit trail & submissions

Business Impact

Compliance Excellence and Operational Efficiency in Pharma

Improved

Audit readiness and inspection outcomes

Reduced

Batch failures and OOS events

Faster

Batch release and QA review cycles

Complete

End-to-end batch traceability

Stronger

CAPA effectiveness and closure rates

Frequently Asked

Common questions about Enjen Pharma

Pharma FAQ
Indian pharma manufacturers in Hyderabad, Bengaluru, Vadodara, and Sikkim increasingly evaluate AI-native ERPs like Enjen alongside SAP and Oracle. Enjen offers electronic batch records, 21 CFR Part 11 compliance, deviation/OOS/CAPA workflows, and predictive AI for production scheduling — at India-native pricing and 6–10 week deployment.
Yes, Enjen's pharmaceutical module is built with GMP compliance requirements including electronic batch records, audit trails, deviation management, and 21 CFR Part 11 readiness.
Yes. Schedule M (revised) requirements for Indian pharma — equipment qualification, area classification, batch documentation, deviation management — are configured into the platform. WHO-GMP and EU-GMP requirements share most of the same controls; Enjen provides the documentation and audit trail to support inspections from CDSCO, WHO, US FDA, EMA, and TGA.
Every batch is traceable from raw material receipt through production, QC testing, and distribution—with full forward and backward traceability for any recall or investigation.
Yes. Unit-level serialization (GS1, DSCSA, EU FMD) is supported with full aggregation/disaggregation tracking through the supply chain. Reports for DSCSA EPCIS submission, EU FMD verification, and Indian DAVA serialization are generated as required.
Yes, deviation investigation, OOS handling, and CAPA creation, tracking, and closure are managed as structured workflows within the system.
Yes, electronic batch records, signatures, and audit trails are implemented to meet 21 CFR Part 11 and other international regulatory requirements.
Yes, Enjen provides integration capabilities for LIMS (Laboratory Information Management Systems) to synchronise lab results with production and quality records.
Stability sample storage, scheduled testing across timepoints (0, 3, 6, 9, 12, 24, 36 months), and trend analysis are managed as a continuous study lifecycle. FEFO (first-expiring-first-out) inventory management ensures stock rotation honours shelf-life constraints automatically.
Yes — manufacturers running API + formulation + nutraceutical lines can manage all three on a single Enjen instance, with appropriate compliance regimes per product type. The API line uses GMP-API requirements, formulation uses Schedule M / WHO-GMP, nutraceuticals use FSSAI requirements — all coexist with line-specific quality parameters.
AI-driven scheduling that respects equipment qualification, cleaning validation periods, and operator certification simultaneously typically reduces cycle time by 15–30% for batch pharma. Predictive maintenance reduces unplanned downtime on critical equipment (granulators, FBDs, blister packs), further compressing total throughput.
Typical deployment is 10–14 weeks for a single GMP-compliant pharma manufacturing site — slightly longer than non-regulated industries because of the validation effort (IQ/OQ/PQ documentation, computer system validation per GAMP 5). Validated environments are preserved through the migration.

Product Lifecycle Management

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Tech packs, BOMs, change control, and compliance — purpose-built for pharma operations and unified with the ERP you're already seeing.

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