Responsible AI
- human control
- no autonomous hiring decision
- reviewable signals
- transparent use of AI
- clear separation between AI support and diagnostic core logic
Trust
Trust & standards
How Yeliq brings diagnostic quality, AI support, human control and data protection together.
First understand requirements, then build the matching flow.
A good decision basis does not start with a generic test, but with a clear requirement analysis. Yeliq runs this as Automated Role Diagnostics and structures the result for the concrete role.
Only on this basis does Pre-Interview Flow Design select and configure the modules that fit the role.
requirement analysis
role-specific selection and configuration of suitable modules
reviewable evaluation
human judgment
combination of different information sources
Oriented toward established standards of professional diagnostics.
When developing diagnostic processes, Yeliq takes central principles of professional work-related diagnostics into account, including requirement analysis, selection of suitable methods, reviewable evaluation and human judgment.
Yeliq is oriented toward relevant quality principles of DIN 33430.
AI where it reduces work.
Yeliq uses AI to support requirement analysis, suggest matching modules for the Pre-Interview Flow and bring collected information together for Decision Support.
AI does not replace the diagnostic model and does not make an autonomous hiring decision.
AI-assisted preparation. Human review.
In Review & Approval, recruiting or hiring managers see the proposed Pre-Interview Flow, can understand, adjust and approve modules and content.
The final selection decision remains human.
Responsible AI and Data protection & security
Data protection & security
Statements on data protection and security are only published where they are documented.
- GDPR
- data processing
- DPA
- technical and organizational measures
- hosting
- deletion and retention
- access control
- restore and backup processes