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AIMS as a Service Catalyst

AIMS as a Service Catalyst

AI Security & Governance:
Your path to a productive KI System

The use of artificial intelligence (AI) is now virtually unavoidable. This makes the future-proof establishment of an AI Management System (AIMS) all the more crucial from the perspectives of risk, security, and compliance.

PAAN-Group Consulting supports you in AI training and implementation, as well as in building an AIMS according to recognized standards (ISO/IEC 42001 for AI management systems) and regulatory guidelines (GDPR, EU AI Act).

The result is a combination of rapidly implementable, measurable business benefits and responsible, auditable governance.

Secure AI deployment for your ITSM practices and projects: End-to-end

Companies want to use AI effectively, manage risks, and remain transparent and secure. At the same time, use cases, tool diversity, and regulatory pressure are increasing. This requires clear priorities, effective processes, and targeted training to establish AI sustainably and responsibly.

We support you in:

  • Clear orientation through potential objectives and analysis. You know where you stand and what's to come.
  • Practical GenAI training for your teams in ITSM, PM & GRC for competent and the safe application of AI.
  • Selection of future-proof AI architectures with a well-thought-out tool and vendor selection.
  • Fully documented standards, SOPs and control catalog for your audit readiness.

Protect your company's capital by implementing AIMS standards.

Standards can serve as effective guidelines for the optimal and sustainable implementation of AI within a company, even if certification is not required.

An AIMS provides legal certainty, strengthens customer trust, and minimizes AI-specific risks such as algorithmic bias.

It increases efficiency, reduces costs, secures competitive advantages, and enables seamless integration into existing management systems.

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Trust our experts, certified in ISO standards & Generative AI

ISO 42001 Lead Implementor & Auditor

Expertise in the effective planning, implementation, monitoring and maintenance of an AIMS, as well as its evaluation and audit with regard to compliance with ethical, legal and operational standards

ISO 27001 Lead Implementor & Auditor

Expertise in the implementation and management of an Information Security Management System (ISMS) and the effectiveness assessment and auditing of a Privacy Management System (PIMS)

ISO 22301 Lead Implementor

Expertise in the setup, implementation, maintenance and further development of a robust Business Continuity Management System (BCMS) ensuring uninterrupted business operations

ISO 20001 Lead Implementor

Expertise in the planning, implementation and maintenance of an IT service management system, aligning IT services with business objectives, improving service quality and increasing customer satisfaction

Move your teams' AI skills to the next level and take advantage of our AI training courses

Generative AI in Project Management

Improving performance through the use of AI in modern project environments

AI in Project Management

AI-supported optimization of projects through predictive analytics, automation, and improved resource allocation.
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Generative AI for Service Desk Professionals

Higher customer satisfaction supported by intelligent ITSM processes

AI in Service Management

Efficient and proactive support and operations through AI-powered automation and E2E integration
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Generative AI in Risk & Compliance

More efficient, cross-standard AI governance and compliance practices within the company

KI in Risk & Compliance

AI-supported development and overlap of governance frameworks, risk management and compliance practices
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Generative AI in Cybersecurity

Faster threat defense through anomaly detection and automation of security processes

AI in Cybersecurity

AI-powered defense: secure assets and data through proactive monitoring and early detection of sources of cyber related threats
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Generative AI Professional

A broad understanding of AI technology (Generative AI) and its application possibilities and use cases, as well as opportunities and risks for its use in business

AI skills basis for decision-makers and users

Various skill levels for executives, decision-makers and users: Understand how AI can transform your business and your way of working with a focus on identifying potential and strategic planning, implementation and daily application
Zur Schulung

We help you implement AI effectively and securely in your company

We offer practical training courses on Generative AI, ITSM, and relevant ISO standards, specifically tailored to real-world business needs. Our training combines technology, processes, and governance to ensure the safe and effective use of AI.

Your company benefits from increased productivity, improved controllability, and reduced risk. Employees gain relevant skills, confidence in working with AI, and a clear role in the digital transformation.

This transitions GenAI from an experimental into an operational phase within your business.

Contact us to find out more

Your Benefits

Our experience in ITSM, GRC, and complex transformation projects enables a holistic AI implementation. We support you from training and controlled AI deployment to certification and audit preparation – consistently and pragmatically.

Holistic AI expertise for the latest service and management disciplines
Certification-ready AI governance according to ISO 42001 – structured, auditable, trustworthy
Transparent AI services with clear cost models & seamless integration into your IT landscape
Increased control and scalability through measurable goals, governance, and transparency
Optimized processes with clear roles and SLAs through AI integration into ITSM processes
Secure portfolio management with active risk management and clear multi-project transparency

Most frequently asked questions

An AI Management System (AIMS) is a structured management framework for the holistic control of artificial intelligence (AI) use within an organization. It encompasses governance, roles, processes, policies, and control mechanisms throughout the entire AI lifecycle. The goal is to make AI available in a responsible, transparent, secure, and scalable manner.

The implementation time for an AIMS depends on the organization’s maturity level. In practice, an auditable management system can typically be established within three to six months.

AI influences decisions, processes, and business results. Without clear structures, risks, lack of transparency, and loss of control arise. An AIMS creates accountability, controllability, and consistency, and ensures that AI is not used in isolation or without control.
An AIMS is relevant for all organizations that use or plan to use AI productively – regardless of industry or company size. It is particularly important for companies with sensitive data, automated decision-making processes, or increasing regulatory requirements.

ISO/IEC 42001 is the international standard for AI management systems. It defines requirements for governance, risk management, roles, processes, and continuous improvement related to AI systems.

Certification serves as proof that AI is used in a structured, responsible, and compliant manner. It increases transparency, trust, and accountability for internal and external stakeholders.

The standard is currently voluntary. However, it is gaining significant importance as a framework for guidance and preparation for regulatory requirements, particularly in the context of the EU AI Act.

An AIMS integrates AI into existing management, ITSM, and governance structures, ensuring that AI systems are operated, monitored, and further developed in a controlled manner.

An AIMS considers all AI systems, regardless of whether they are developed internally or sourced externally. Only in this way is complete transparency and control possible.

Not necessarily. What’s crucial are clear structures, defined roles, transparent decision-making processes, and a fundamental understanding of the risks and mechanisms of AI.

With sufficient training, a solid understanding can be developed, enabling the safe deployment of AI systems for widespread use (including outside of IT).

ISO/IEC 42001 and ISO/IEC 27001 have different focuses, but they complement each other very well in terms of content. While ISO 27001 addresses the protection of information, data, and systems, ISO 42001 focuses on the responsible management of AI systems throughout their entire lifecycle.

Both standards share key principles such as:

    • Governance and Management Responsibility
    • Risk-Based Approach
    • Clear Roles and Responsibilities
    • Documented Processes and Controls
    • Continuous Improvement

 

In practice, existing ISO 27001 structures can be used as a foundation for ISO 42001. Policies, risk management, internal audits, and management reviews can be harmonized, thereby significantly reducing the certification effort. Together, both standards form a robust basis for safe, compliant and trustworthy AI use in the company.

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Relevante Use Cases

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