Standards Comparison

    GMP

    Mandatory
    1963

    Regulatory standards for pharmaceutical manufacturing quality control

    VS

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for AI management systems

    Quick Verdict

    GMP ensures manufacturing quality via preventive controls for pharma/food, while ISO/IEC 42001:2023 governs AI risks ethically across sectors. Companies adopt GMP for regulatory compliance and safety; ISO 42001 for trustworthy AI, innovation, and certification credibility.

    Manufacturing Quality

    GMP

    Current Good Manufacturing Practice (cGMP)

    Cost
    €€€
    Complexity
    Medium
    Implementation Time
    18-24 months

    Key Features

    • Mandates preventive controls beyond final product testing
    • Requires independent quality unit batch release authority
    • Enforces comprehensive documentation and data integrity
    • Applies risk-based Quality Risk Management principles
    • Demands validated processes and equipment qualification
    AI Management

    ISO/IEC 42001:2023

    ISO/IEC 42001:2023 AI Management Systems

    Cost
    €€€€
    Complexity
    High
    Implementation Time
    6-12 months

    Key Features

    • PDCA framework with HLS for ISO integration
    • Mandatory AI Impact Assessments for high-risk AI
    • 38 Annex A controls for AI-specific risks
    • Full AI lifecycle management to decommissioning
    • Role-based scoping for providers and users

    Detailed Analysis

    A comprehensive look at the specific requirements, scope, and impact of each standard.

    GMP Details

    What It Is

    Good Manufacturing Practice (GMP), including cGMP under FDA 21 CFR Parts 210/211 and EU EudraLex Volume 4, is a regulatory framework establishing minimum standards for manufacturing controls. It ensures products like pharmaceuticals and biologics are consistently produced to quality specifications using preventive, risk-based approaches like Quality Risk Management (QRM).

    Key Components

    • **5 PsPeople, Premises, Processes, Procedures, Products.
    • PQS elements: monitoring, CAPA, change control, management review.
    • Documentation (SOPs, batch records), validation (IQ/OQ/PQ), data integrity (ALCOA++).
    • Built on ICH Q9/Q10; enforced via inspections, no universal certification but compliance mandatory.

    Why Organizations Use It

    Mandated for market access; prevents recalls, contamination; reduces liability. Builds supply reliability, efficiency; enhances reputation via proven controls.

    Implementation Overview

    Phased: gap analysis, VMP, validation, training, audits. Applies to pharma/biologics manufacturers globally; requires ongoing inspections, no central certification.

    ISO/IEC 42001:2023 Details

    What It Is

    ISO/IEC 42001:2023 is the world's first international standard for establishing, implementing, maintaining, and improving an Artificial Intelligence Management System (AIMS). It provides a PDCA-based framework to manage AI risks and opportunities responsibly across the full AI lifecycle, applicable to any organization regardless of size, sector, or AI role (developer, provider, user).

    Key Components

    • Clauses 4-10 cover context, leadership, planning, support, operation, evaluation, and improvement.
    • Annex A with 38 AI-specific controls addressing data, transparency, integrity, and resiliency.
    • Built on ISO High-Level Structure (HLS) for integration with ISO 9001/27001.
    • Certification via accredited third-party audits, with 3-year validity and surveillance.

    Why Organizations Use It

    • Mitigates AI risks like bias, drift, and ethics; aligns with EU AI Act.
    • Builds trust, enhances reputation, enables innovation.
    • Delivers ROI via procurement advantages, insurance discounts, compliance efficiency.

    Implementation Overview

    • Phased gap analysis, AIIAs, training, audits.
    • 6-12 months typical, faster with existing ISO systems.
    • Universal applicability; tools like ISMS.online accelerate.

    Key Differences

    Scope

    GMP
    Manufacturing controls for product quality/consistency
    ISO/IEC 42001:2023
    AI lifecycle governance, risks, ethics

    Industry

    GMP
    Pharma, biologics, food, cosmetics globally
    ISO/IEC 42001:2023
    All sectors using/developing AI universally

    Nature

    GMP
    Enforceable regulations/guidelines, inspections
    ISO/IEC 42001:2023
    Voluntary certification standard, audits

    Testing

    GMP
    Process validation, equipment qualification, audits
    ISO/IEC 42001:2023
    AI impact assessments, monitoring, certifications

    Penalties

    GMP
    Warning letters, recalls, fines, shutdowns
    ISO/IEC 42001:2023
    Loss of certification, reputational damage

    Frequently Asked Questions

    Common questions about GMP and ISO/IEC 42001:2023

    GMP FAQ

    ISO/IEC 42001:2023 FAQ

    You Might also be Interested in These Articles...

    Run Maturity Assessments with GRADUM

    Transform your compliance journey with our AI-powered assessment platform

    Assess your organization's maturity across multiple standards and regulations including ISO 27001, DORA, NIS2, NIST, GDPR, and hundreds more. Get actionable insights and track your progress with collaborative, AI-powered evaluations.

    100+ Standards & Regulations
    AI-Powered Insights
    Collaborative Assessments
    Actionable Recommendations

    Check out these other Gradum.io Standards Comparison Pages