Risk-management readiness
Support discussion of documented intended use and risk-management considerations.
Trust Centre
EU AI Act readiness for recruitment AI governance
Recruitment and candidate-evaluation AI may fall within a high-risk category under the EU AI Act, depending on the system and its use. Areeva’s approach focuses on readiness and supporting customer governance.
Configured workflowAREEVA / ACTIVE
Working contextEU AI Act readiness for recruitment AI governanceDefined criteria · Evidence linked
01
Risk-management readiness
02
Data governance
03
Documentation and logging
Human checkpointEvidence ready for review
Operating idea
Readiness is an ongoing discipline of intended use, documentation, human oversight and monitoring. It is not a certification, a guarantee of compliance and not legal advice.
What it supports
A clearer way to organise the work.
Capabilities remain visible, reviewable and connected to the operating context around them.
Data governance
Address data governance and quality-control expectations in the context of customer requirements.
Documentation and logging
Plan for technical documentation and activity logging as important readiness themes.
Transparency and human oversight
Support transparency for deployers and affected candidates, with effective human oversight of consequential decisions.
Robustness and monitoring
Address accuracy, robustness, cybersecurity, post-market monitoring and incident-process expectations as part of readiness planning.
Control principles
Designed around accountable review.
Areeva’s EU AI Act readiness framework supports customer governance and alignment work; it is not a certification.
Effective human oversight is essential for consequential recruitment decisions.
Areeva does not provide legal advice; customers should seek appropriate legal guidance for their own obligations.
Customers should assess prohibited-practice and transparency obligations for their own intended use.
Readiness framework
Eight areas for a serious governance conversation.
This framework describes preparation themes, not a compliance determination. Customers should obtain legal advice about their own role and obligations.
01
Risk management
Document intended use, foreseeable risks and the controls expected across the system lifecycle.
02
Data governance
Address relevance, quality, provenance and governance expectations for data used in recruitment workflows.
03
Technical documentation
Maintain system information that helps providers, deployers and reviewers understand design and use.
04
Activity logging
Support traceability with records appropriate to the workflow, oversight model and applicable obligations.
05
Transparency
Give deployers and affected candidates information that supports informed use and appropriate challenge.
06
Human oversight
Ensure people can understand outputs, recognise limitations, intervene and own consequential decisions.
07
Robustness and security
Treat accuracy, resilience and cybersecurity as ongoing system requirements rather than one-time claims.
08
Post-market monitoring
Plan monitoring, feedback, incident handling and corrective action across real-world operation.
Important boundary
Customers should assess prohibited-practice, transparency and high-risk-system obligations for their own intended use. EU AI Act readiness content is informational and is not legal advice.
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