AI Excellence in 90 days

Do you want to be able to track which data is used in your AI tools and ensure that your company's use of artificial intelligence complies with the EU AI Act? Then our approach to AI excellence is exactly what you need.

The AI Act as a chance

The AI Act will gradually come into force starting in February 2025. Its requirements include specifications for data quality, documentation, human oversight, and system transparency. Those who fail to prepare in time risk fines of up to €35 million or 7% of their global annual turnover, as well as project stoppages, reputational damage, and the loss of market opportunities.

However, the AI Act is not only a legal obligation, but also an opportunity: those who act early can build trust in AI and secure their own long-term competitiveness.

Turn AI compliance into a competitive advantage rather than a burdensome obligation.

Why should you start thinking about AI governance today?

The EU AI Act is the first legal framework that comprehensively regulates the use of artificial intelligence in Europe. Its aim is to make AI safe, transparent, and responsible to use. It is crucial for companies to address the requirements at an early stage: The AI Act regulates AI-based applications differently depending on the risk category – from basic transparency requirements to strict security requirements for high-risk systems.

By implementing dataspot.'s AI Excellence Approach, you not only meet the legal requirements, but also enable the professional use of AI in your organization.

Proactive AI governance over reactive audit firefighting.

Become AI excellent now!

The dataspot. approach: AI excellence from the database to implementation

AI Excellence means not only implementing artificial intelligence technically, but also using it effectively in accordance with ethical, legal, and business requirements. This requires more than just IT – it requires a holistic approach that begins with excellent handling of your data, because AI can only unleash its full potential on the basis of clear structures, high-quality data, and responsible governance.

This is exactly where dataspot. comes in: With our expert consulting based on the proven Data Excellence Framework^© and the metadata management software dataspot., we offer companies a strong foundation for managing data strategically, with quality assurance and in compliance with legal requirements – a key requirement for the successful use of artificial intelligence.

AI on a solid data foundation instead of on uncertain data.

Data competence + Legal advice

Based on this, the AI Excellence (AIX) Framework was developed in collaboration with Dr. Jeannette Gorzala, a renowned technology law expert, deputy chair of the Austrian federal government's AI advisory board, vice president of the European AI Forum, and head of legal and compliance at AI Austria. Her legal expertise in technology and commercial law, as well as her leading role in European artificial intelligence regulation, have been incorporated into the content of this framework. It combines data expertise with legal, governance structures, and the requirements of the EU AI Act.

In our AIX projects, we leverage the combined expertise of Jeannette Gorzala and dataspot. expert Paul Schmidinger for your organization.

Europe’s leading AI governance expertise, directly available for you.

The combination of dataspot.'s data excellence expertise and my legal advice provides a comprehensive overview.

Dr. Jeannette Gorzala

CEO & lawyer

actnow.ai

To enable your company to implement AI excellence optimally, we accompany you step by step through all the processes necessary for establishing successful AI governance, based on our proven data excellence approach: from the legal framework, AI strategy development, cataloguing and prioritising AI use cases, to developing the corresponding internal AI governance processes and roles, as well as the ideal implementation of active AI governance in the metadata management software dataspot. To make establishing AI excellence as easy as possible for you, dataspot. also offers specially designed AI excellence models that, among many other useful features, enable the management of AI systems and the display of AI metrics.

Comprehensive AI governance from strategy to operational execution – all in one place.

The AI Excellence Approach explained in five minutes

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Become AI Excellent now

These are the four key components of an AI Excellence project

AI Strategy & Value Base

This topic covers the definition and development of strategic plans and value foundations for the use of AI technologies in your organisation. It includes identifying your business objectives and aligning the AI strategy with them in order to create sustainable added value. This also includes establishing ethical principles and values to guide the development and use of your AI systems.

Strategic AI alignment over random AI application.

AI Excellence Processes

Strategic demand management controls and prioritizes requirements for your AI systems in order to make make-or-buy decisions and comply with the AI Act. AI development governance ensures that your internal AI development projects are ethical, transparent, and accountable. AIX risk and impact management identifies and assesses risks associated with your AI systems. These processes create a foundation for the development and implementation of high-quality and responsible AI systems.

Structured oversight for AI instead of ad-hoc experimentation.

AI Excellence Basics

In order to achieve a sustainable impact of the measures in your organisation, governance roles for AI systems will be established and skills developed through training programs (“AI literacy”). The transparency of your AI systems will be ensured in accordance with the AI strategy both within and outside your organisation. In addition, steps for AI monitoring and audit management will be defined.

Competent AI organization over dependency on outside technology.

AI Governance Standards

Clear AI standards ensure that processes in your organisation are adhered to and legal requirements are met. These define how requirements are to be implemented and described in dataspot. The standards cover the following areas, among others: AI data governance, technical AI documentation, AI record keeping, AI transparency, human AI oversight, AI IT security, and AI accuracy and robustness.

Unified AI standards instead of a wild mix of AI implementations.

This is how we deliver AI Excellence to your organisation

Assessment & AIX strategy

Assessment of maturity level in relation to AI Act compliance & review, and creation of your AIX strategy.

AI Act Compliance

Identification of the requirements of the EU AI Act for your company & (risk) classification of your AI systems.

AIX Blueprint & Use Case

Definition of compliance metadata in an AIX blueprint & collection of this data using an AIX use case for your organisation.

Not just compliance: The real added value of AI Excellence

AI Excellence projects offer you numerous advantages by creating clear and structured framework conditions for dealing with AI:

Clearly defined processes for AI governance, the integration of compliance standards, and a value-based approach to your AI models ensure that your AI systems not only meet regulatory requirements but also align with the organization's core ethical values.
In addition, responsibilities for your AI models are clarified and these models are carefully documented and embedded in the functional and technical data lineage. This increases transparency and strengthens confidence in the AI models used.
The result is AI models that are not only subject to clear governance, but also make a measurable contribution to achieving your corporate goals – while at the same time meeting legal and ethical requirements.

Use AI as a strategic competitive advantage instead of a regulatory risk.

The implemented and achieved value due to AI Excellence

Become AI Excellence compliant and EU AI Act compliant now

Start with AI Excellence today to integrate artificial intelligence into your company in a secure, efficient, and value-oriented manner while complying with regulatory requirements. Contact us for an information session or a quote to learn more about how we can support you in the implementation process.

Safe AI adoption with transparent compliance and lasting competitive advantage.

Become AI excellent now!

Have you already created the data basis for AI?

Those who have already sorted out their data can confidently start with exciting AI use cases. For those who have not yet dealt with the content, meaning, and quality of their data and have not yet clearly assigned responsibilities, now is the right time to start.

Solid data foundations create sustainable AI success instead of frustrating AI experiments.

Build your AI data foundation now!

Schedule an initial consultation with our AIX expert Paul