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- Structured implementation of complex EU requirements
- Future-proof development and compliance processes
Successfully deploying AI – without compromising data protection and information security
Artificial intelligence is increasingly being integrated into business processes, from automated communication to the analysis of sensitive corporate and customer data.
This creates new requirements for data protection, information security, and compliance.
Organizations face the challenge of deploying AI systems in a way that is economically efficient while simultaneously meeting the requirements of the GDPR, internal governance guidelines, and the AI Act.
Regulatory framework: AI, data protection, and compliance
The deployment of AI systems affects multiple legal and organizational levels:
- Processing of personal data within the meaning of the GDPR
- Use of AI systems in cloud-based systems
- Automated decision-making and profiling
- Transparency and accountability obligations toward data subjects and supervisory authorities
- Requirements under the European Artificial Intelligence Act (EU AI Act)
In particular, combining AI systems with personal data requires a clear governance structure within the organization.
AI data protection risks in organizations
Without defined guidelines, typical risk scenarios emerge:
- Data processing without a sufficient legal basis
- Unclear data transfers to third-party providers
- Lack of transparency regarding training and input data
- Inadequate documentation of AI-driven decisions
- Data protection violations due to insufficient technical and organizational measures (TOMs)
These risks have a direct impact on liability, compliance, and reputation.
AI and information security
Artificial intelligence opens up new opportunities for organizations to automate, increase efficiency, and innovate. To exploit these potentials securely, AI applications must be integrated into existing information security and governance structures.
Without clear security requirements, risks to sensitive corporate data, business secrets, and critical business processes emerge quickly.
Typical challenges include:
- Uncontrolled use of external AI applications by employees ("shadow AI")
- Processing of confidential information in external AI systems
- Lack of transparency regarding data flows and storage locations
- New security risks introduced by cloud-based AI services
- Inadequate guidelines and control mechanisms
We support organizations in deploying AI in a secure and controlled manner, identifying information security risks at an early stage, and expanding existing security structures in a targeted way. In doing so, we establish the foundation for a secure, traceable, and future-proof deployment of artificial intelligence.
Our Service
We support your organization in establishing a secure and compliant deployment of AI.
AI risk and data protection analysis
- Identification of all AI use cases within the organization
- Assessment of GDPR relevance and data flows
- Analysis of risks associated with external AI systems
GDPR-compliant AI integration
- Development of guidelines for the deployment of AI within the organization
- Data protection-compliant design of AI processes (privacy by design)
- Assessment and management of AI service providers
AI governance & internal control systems
- Establishment of binding AI usage policies
- Definition of responsibilities and approval processes
- Prevention of shadow IT and shadow AI
Documentation & accountability
- Support in documenting and demonstrating information security measures (e.g., within the framework of ISMS and ISO 27001 requirements)
- Support with GDPR-compliant documentation
- Preparation for internal and external audits
Integrating AI into existing security processes
- Integration of AI systems into existing ISMS structures
- Expansion of existing security policies
- Definition of responsibilities and approval processes
- Integration into existing risk and control systems
AI management system according to ISO/IEC 42001
- Support in establishing and implementing an AI management system according to ISO/IEC 42001
- Development of governance, risk, and control structures for AI systems
- Integration of ISO 42001 requirements into existing management and ISMS structures
- Preparation for audit and certification readiness in the field of AI governance
What makes us strong:
- We understand the challenges – our solutions are practical, actionable, and tailored precisely to your organization.
- Reduction of regulatory and financial risks
Contact us now
FAQ – AI Consulting
What does AI consulting for organizations involve?
AI consulting encompasses strategic, technical, and organizational support for the deployment of artificial intelligence within an organization. This includes identifying use cases, assessing risks, integrating systems into processes, and developing an AI governance structure.
The goal is to deploy AI not as an experiment, but in a controlled, economically efficient, and compliant manner.
What role does data protection play in AI systems?
Data protection is a central component of any AI implementation. AI systems frequently process large volumes of personal data or utilize external cloud services.
This results in requirements under the General Data Protection Regulation (GDPR), particularly regarding:
- Purpose limitation and data minimization
- Transparency obligations
- Data processing agreements (DPAs)
- Technical and organizational measures (TOMs)
Is using AI like ChatGPT GDPR-compliant?
The using of AI systems such as ChatGPT can be GDPR-compliant, but only under clearly defined conditions.
The decisive factors are:
- Which data is being inputted
- Whether personal data is being processed
- Which provider and data processing terms are applied
- Whether internal policies and approval processes are in place
Without AI governance, a significant data protection risk remains.
What is "shadow AI" and why is it problematic?
"Shadow AI" refers to the uncontrolled deployment of AI systems within an organization, for example, by individual employees without approval or guidelines.
Key risks include:
- Uncontrolled transfer of data to external providers
- Lack of traceability in AI usage
- Violations of GDPR and internal compliance policies
- Security and reputational risks
What data protection risks arise from AI?
Typical risks associated with AI include:
- Processing personal or sensitive data without a legal basis
- Unclear storage and usage of training data
- Lack of transparency in automated decision-making
- Dependency on third-party providers outside the EU
- Lack of erasure and rectification mechanisms
How does AI consulting support data protection and compliance?
Professional AI consulting helps organizations implement AI in a structured and legally compliant manner.
Typical services include:
- Analysis of existing AI use cases
- Assessment of data protection and compliance risks
- Development of AI usage policies
- Implementation of AI governance structures
- Support with documentation and GDPR requirements
What is AI governance?
AI governance describes the framework of rules, processes, and control mechanisms for the deployment of AI within an organization.
This includes:
- Clear responsibilities
- Approval processes for AI systems
- Data usage policies
- Risk and compliance management
- Documentation obligations
The goal is to ensure a controlled, traceable, and secure deployment of AI.
What legal requirements apply to AI in Europe?
Relevant regulatory frameworks include, in particular:
- General Data Protection Regulation (GDPR)
- EU AI Act (Artificial Intelligence Act)
- Sector-specific compliance requirements
These frameworks demand, among other things, transparency, risk management, and documented control of AI systems.
Does every organization need an AI policy?
Yes, particularly organizations that use AI systems such as ChatGPT, Microsoft Copilot, or other AI tools.
An AI policy defines:
- Permitted and prohibited AI usage
- Handling of personal data
- Security and compliance guidelines
- Responsibilities within the organization
What are the benefits of a GDPR-compliant AI strategy?
Organizations benefit from:
- Legally compliant deployment of AI
- Reduced GDPR and liability risks
- Clear internal processes and responsibilities
- Increased trust among customers and partners
- Controlled and scalable AI usage
When should you consider AI consulting?
AI consulting is beneficial:
- Prior to introducing AI systems
- In the event of insecure or uncontrolled AI usage
- When facing data protection or compliance requirements
- When scaling existing AI applications
- As part of ISO 42001 or AI Act readiness
Does AI consulting also support audits or assessments?
Yes. A structured AI consulting service supports:
- Internal audits
- GDPR assessments
- Compliance reviews
- Preparation for external audits by authorities or certification bodies
How quickly can an AI concept be implemented?
The duration depends on the organization's size, data situation, and AI usage.
In many cases, initial results such as:
- Risk analysis
- AI policies
- Governance structures
can be implemented within just a few weeks.