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Modular AI Framework

AI Management Module

Build trust in how your organization uses AI with the AI Management module of the AI Foundation Framework.

Build trust in how your organization manages AI with standards-based controls

AI now sits at the core of growth and innovation. As you scale its use, you must ensure it delivers accurate, reliable, and consistent outcomes.

The AI Management module gives you a practical starting point to take control quickly and effectively.
It helps you build a structured AI management system with clear processes and effective human oversight.
Built on leading ISO and NIST AI management standards, the module enables you to embed best practice into how you manage AI use.

Through the AI Management Module and Mark of Trust, you can assess your current maturity, strengthen control, and independently verify that your AI is being managed responsibly.

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The AI Foundation Framework: Your Route to Trusted AI

Find out how you can take control of AI quickly and effectively with our modular AI Foundation Framework.

AI Management

Three-steps to effective AI Management

Improve control of your AI adoption with the management module of the AI Foundation Framework. Following this three-step process.

Learn

AI Management Training

Build organizational capability and understanding of responsible AI management with expert, on-demand training.

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Assess

AI Management Self-assessment

Evaluate your AI management maturity using a structured self-assessment aligned to recognized best practice.

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Verify

AI Management Verification

BSI independently verifies your maturity level, providing external validation of your AI management.

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Why choose the AI Management module?

Whether you’re using or developing AI, the AI Management module helps you take practical steps to achieve responsible AI adoption.

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Understand what responsible AI management looks like in practice.
Manage AI lifecycles and controls effectively.
Demonstrate progress to leadership, customers, and stakeholders.
Build trust in your AI management systems before formal certification.
Prepare for ISO/IEC 42001 certification, if that’s your goal.
Explore ISO/IEC 42001

Module FAQs

AI Management module frequently asked questions

Find out what you need to know about the AI Management module.

The AI Management module is part of BSI’s AI Foundation Framework. It provides a flexible training, self-assessment, and verification based on AI management standards.

The AI Management Mark of Trust an independent verification that demonstrates that AI developers and users meet global standards for best-practice management and control. It signals to customers, partners, and regulators that your AI adoption is responsible and trustworthy.
Once your AI management processes and maturity level are verified, you’ll gain the use of the unique BSI Mark of Trust. This proves your active commitment to responsible AI adoption to your stakeholders.

The BSI Mark of Trust provides:

Internal and external credibility

Evidence of responsible AI management

Assurance for customers, partners, and regulators
The AI Management module is based on two key standards to ensure it’s thorough yet simple to start:

AI Management (ISO/IEC 42001)

Risk Management Framework (NIST RMF)

For more details about the standards and specific requirements, download your AI Foundation Framework guide.
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You’ll get:

Access to online training – this has been curated specifically for the AI Management module, and you’ll have unlimited access to the training to prepare for verification

Access to our online portal to complete your self-assessment – you can repeat this as many times as you want to track your progress

Independent verification – our expert AI auditors review your self-assessment and provide a verification report with maturity assessment result

Use of the BSI Mark of Trust – you’ll earn the right to display the Mark of Trust to prove your AI Management has been independently verified, helping you build trust

Most importantly, you’ll gain valuable practical control over your AI management processes.
You don’t need any prior knowledge of standards or management systems to get started.

The modules of the AI Foundation Framework are designed to help you:

Take your first structured steps into good AI management

Build capability before pursuing formal certification

Demonstrate responsible AI adoption while your management system evolves
It doesn’t mean your AI Management is certified. To achieve accredited certification, you’ll need a fully operational AI management system that meets all the requirements of the international standard ISO/IEC 42001.

A key benefit of completing the AI Management module is that it helps you work towards full certification. And achieving a high level of maturity in this module provides ~90% compliance with ISO/IEC 42001.

If you’re ready for ISO/IEC 42001 now, you can get started here.

Explore ISO/IEC 42001
The other modules of the AI Foundation Framework are:

AI Governance – to help you gain control and oversight

AI Cybersecurity Management – to help you identify and mitigate potential threats

AI Privacy Management – to help you protect the privacy of data subjects

AI Data Management – to help you ensure consistent data quality, critical to AI algorithms

AI Performance – to help you evaluate the actual performance of AI products

Learn more about each module in your AI Foundation Framework guide.
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It depends on your specific AI risk profile and goals. You choose the modules that best suit your needs, and you don’t have to complete them all.

Each module focuses on a specific aspect of best-practice AI management, helping you build capabilities and trust.

Learn more about the modules in your AI Foundation Framework guide.

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AI Framework Guide

Your guide to the AI Foundation Framework

Get started with this handy guide. It explains how the AI Foundation Framework works, the role of each module, and what you’ll achieve at each stage of the process.

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