AI Inventory +
EU AI Act Risk Assessment

We support you in getting ready for the EU AI Act.

Get your AI Inventory under [your brand].casebase.ai

... filled with your company-wide AI use cases that are classified according to the risk categories of the EU AI Act.

from

€ 14,000 ,-

plus VAT

AI Act Risk Assessmeent

Included1

You are in the best possible hands. 

This service is offered by Alexander Thamm GmbH [at], one of Germany's leading AI consultancies and follows standards from over 2,500 AI projects at renowned companies.

Flag of Europe

EU AI Act

Get more info about the EU AI Act.

This is not legal advice. The offer is limited to self-developed AI systems, i.e., systems where you act as a provider. Successful project results depend on effective cooperation.

You will receive ...

Company-wide AI inventory in Casebase.

EU AI ACT

Classified AI use cases according to the EU AI Act.

EU AI ACT

A Go-To Compliance Roadmap.

Why should you build your AI inventory now?

1. No AI compliance without knowing your inventory

Ensuring compliance is impossible without a complete and up-to-date inventory of all AI use cases in the company. You can only regulate and monitor what you are aware of. A comprehensive portfolio provides a centralized overview of all deployed systems, including their purposes, data sources, applied algorithms, and potential risks.

This enables:

  • Risk Identification: Certain AI applications may violate regulatory requirements or pose risks like bias, discrimination, or data protection issues. These risks can only be identified and addressed if the company has a clear overview of all AI use cases.
  • Efficient Prioritization of Actions: With a clear inventory, resources can be focused on use cases that carry higher risks or require stricter regulatory oversight.
  • Proactive Compliance with New Regulations: The regulatory landscape (e.g., EU AI Act) constantly evolves. A complete inventory ensures that new requirements can be quickly applied to all relevant use cases.

 

2. Transparency builds safety and trust

Transparency is the foundation of safety and trust, especially when dealing with AI. A company-wide portfolio of AI use cases creates this transparency by documenting all applications, their purposes, functions, and potential impacts.

This provides distinct advantages:

  • Building trust: Internal and external stakeholders – from employees to customers – can understand how and why AI systems are used. This clarity strengthens trust in the technology and the company.
  • Enhancing safety: Transparency allows for early identification and resolution of vulnerabilities or potential misuse, reducing risks such as data leaks, bias, or unethical decisions.
  • Meeting regulatory requirements: Many regulations explicitly require transparency in AI systems (e.g., documentation of algorithms and decision-making processes). A well-documented portfolio makes it easier to meet these requirements and demonstrate compliance to regulators.

By fostering transparent communication and documentation, companies create trust – both internally and externally.

3. Prioritization of your strategy-aligned AI use case roadmap

A company-wide portfolio enables targeted prioritization of AI use cases that are strategically relevant and value-driven. By centrally capturing and assessing all applications, companies can ensure efficient resource allocation while maintaining compliance.

This offers clear benefits:

  • Strategic alignment: The portfolio helps identify AI use cases that directly contribute to business goals – whether it’s increasing revenue, improving efficiency, or driving innovation.
  • Resource optimization: With a clear overview, resources can be prioritized for use cases that deliver the greatest value, while less strategic ones can be deferred.
  • Focus on compliance-critical projects: Projects with higher risks or stricter regulatory requirements can be identified early and supported with targeted resources and compliance measures.

A strategy-aligned use case roadmap maximizes business value while ensuring adherence to regulatory standards, enabling AI to be deployed securely, sustainably, and successfully.

Our Approach

Inventory phase

Collecting AI Use Cases

Duration: ~ 2-4 weeks

Assessment phase

Classification of the AI inventory

Duration: ~ 1 week

Consolidation phase

Building a portfolio & roadmap

Duration: ~ 1 week

Your Benefits

Get in touch today!

We are looking forward receiving your non-binding inquiry.

You are currently viewing a placeholder content from HubSpot. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.

More Information