Active Focus: Decision-Making Skills, Work Sample, Level 1.
Qualifications and Decision-Making Authority
AIQ reveals how people interpret, apply, justify, and demonstrate AI-supported results in a professional context. It is not the technology that decides, but the person in the respective work context.
For the skilled trades, the food industry, the education sector, and organizations that want to responsibly integrate AI into real-world tasks.
What It's All About
CONEXXUS® AIQ was developed by Ronny Paulusch as a model for describing and assessing decision-making competence in the context of AI. It is neither software nor a course on how to use a specific provider's system.
AI can generate suggestions, alternatives, and results in a short amount of time. People decide what to accept, what to reject, and what the consequences will be. AIQ therefore focuses on the quality, rationale, and transparency of these decisions.
The Event
"When your fingers smell of oil and your minds are set on routine, artificial intelligence often seems far removed from reality. But the world is changing."
Planning, analysis, communication, and knowledge management are changing. In companies, new applications are also emerging in the areas of documentation, cost estimation, training, process description, and complaint handling.
Whenever product responsibility, hygiene, quality, leadership, or customer impact are involved, a plausibly worded output is not enough. The implementation and consequences must be professionally accounted for.
What matters is not just whether a tool can be used. What matters is whether its purpose, limitations, sources, risks, and alternatives are identified and justified.
IQ, EQ, and AIQ
Select a dimension to highlight its role in the overall picture. All content remains immediately visible.
Change of Perspective
Output in the Foreground
Focus on the Decision
AIQ is tool-independent and not tied to any single provider or specific technology. It complements existing continuing education, but does not replace it.
Traces of evidence
The selection only changes the visual focus. The work sample, log, cross-check, and oral explanation remain fully legible.
A student’s own work sample applies the qualification to the specific professional field. It serves as the concrete starting point for documentation, assessment, and justification.
The tool, purpose, adoption, or rejection—and the respective reasons—are documented. This makes it clear at which point a person made a decision.
Professional judgment is demonstrated through cross-checking. A result is not accepted simply because it is formulated in a plausible manner.
A brief oral explanation combines the procedure, the subject-matter assessment, and the decision. The assessment process remains a guided reflection, not a traditional graded exam.
Organizations can document how AI is used and managed, who is responsible for a decision, and what accountability framework applies to roles or departments. Work samples, transparency logs, and cross-checks can support quality assurance, training documentation, and external inquiries. This does not automatically imply regulatory acceptance.
AIQ Level
The levels describe an increasing depth of understanding, ranging from perception to conscious application, structured processes, and responsible leadership. They are not titles awarded automatically.
Recognize opportunities, biases, and hallucinations; transparently label AI components; and consciously assess your own use of AI.
Work with variables in a targeted manner, perform cross-checks, and justify decisions based on technical expertise. AI is becoming a controllable tool in practice.
Design, review, and revision are integrated into workflows as a quality loop. Reliability comes from routine carried out with accountability.
Design complex workflows, reflect on professional and ethical boundaries, set standards, and take on responsibility in leadership and teaching.
The original historical badges illustrate the documented ranking system. They do not imply that the rank is currently being awarded or recognized.
EU Classification
CONEXXUS® AIQ is compatible with the AI competence framework outlined in the EU AI Regulation. Whether and how specific obligations are fulfilled depends on the specific context of use, the tasks involved, the risks, and the responsibilities.
Real-world work contexts, transparent documentation, verifiable formats for evidence, and concise justifications for decisions provide a practical foundation. AIQ is not a government, regulatory, or academic certification; it does not replace formal certifications; and it does not guarantee automatic compliance with legal requirements.
The Book
The book documents the model as a technical reference. It explores in depth the idea of understanding learning as a guided decision-making process, particularly in light of the uncertainty that AI results can generate.
This publication is not a prerequisite for AIQ and does not constitute external certification. It provides further insight into the pedagogical background.
View the book