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Is your hiring workflow ready for AI under the EU AI Act?

A practical gap check for AI-supported recruitment workflows: human oversight, candidate transparency, input-data control, traceability, provider governance, risk review, and monitoring.

AI-supported. EU AI Act compatible. GDPR / DPDP aware.

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This check helps identify practical readiness gaps in your hiring workflow for AI-supported recruitment. It is not a compliance check, legal audit, certification, legal advice, or statement of EU AI Act compliance.

EU AI Act-aware readiness guideline based on QUILONS workflow-control principles · www.taleruvi.com

EU AI Act-aware Hiring Workflow Readiness Gap Check

Progress: 0 / 14

Important note

AI Act recruitment scope

Whether AI is being used in recruitment or selection activities that may create higher-risk obligations.

Is AI used, or planned to be used, to analyse, filter, rank, shortlist, summarise, or evaluate candidates?

We do not know or it varies by person/teamOnly for admin, drafting, or productivity support — not candidate assessmentYes, informally in candidate screening or evaluation stepsYes, with defined scope, ownership, and review points

Allowed AI use

Whether the organisation has defined where AI may and may not be used in hiring.

Have you defined which hiring tasks AI may support and which decisions must remain human-owned?

NoOnly informal expectations existDefined for some tools or teamsYes, with clear allowed uses, prohibited uses, and ownership

Human oversight and override

Whether human review, challenge, override, and final ownership remain clear in AI-supported hiring.

Are AI-supported candidate outputs reviewed by a human before they influence screening, shortlisting, interview, or hiring decisions?

No clear human review step existsReview happens informallyReview points are defined for key hiring stepsReview and approval are documented in the workflow

Can a recruiter or hiring manager challenge, override, or ignore AI-supported recommendations?

It is unclearYes, but reasons are not recordedYes, and reasons can be recordedYes, with clear ownership, reason capture, and traceability

Reviewer competence

Whether reviewers are trained, authorised, and able to challenge AI-supported outputs.

Are the people reviewing AI-supported hiring outputs trained, authorised, and able to challenge the AI output?

NoThey rely on general recruitment experience onlySome reviewers have guidance or trainingYes, reviewers are trained, authorised, and have clear escalation paths

Candidate transparency

Whether candidates are informed when AI supports relevant hiring steps.

Are candidates informed when AI is used to support screening, ranking, summarisation, or evaluation in the hiring process?

No or not sureOnly general privacy wording is availableRecruitment-specific information is availableCandidates receive clear AI-use information where relevant

Input-data control

Whether candidate input data is relevant, appropriate, and controlled before AI use.

Before AI is used for candidate evaluation, do you check that the input data is relevant, appropriate, and role-related?

NoOnly through manual recruiter judgementSome relevance and minimisation checks existInput data is controlled by the workflow before AI use

Provider and tool governance

Whether AI providers, models, tools, instructions, and approved uses are known.

Do you know which AI provider, model, or tool is used for recruitment tasks?

NoSome tools are known, but not allProviders/models/tools are knownKnown and approved for defined recruitment use

Are AI tools used according to approved instructions, limits, and intended purpose?

No or not sureInformal guidance onlyInstructions exist for some tools or teamsYes, usage instructions and constraints are built into the workflow

Traceability and logs

Whether AI-supported hiring activity can be reconstructed later.

Can you reconstruct which AI tool/model was used, what input was provided, what output was produced, who reviewed it, and what final human decision was made?

No, not reliablyOnly through manual notes, emails, or screenshotsPartially, for some key stepsYes, through structured workflow records and logs

Bias and fundamental-rights risk review

Whether screening criteria, AI-supported outputs, and candidate-impact risks are reviewed.

Are screening criteria, interview structures, and AI-supported outputs reviewed for bias, unfair exclusion, or candidate-impact risk?

No formal reviewInformal review by recruiters or managersSome structured review existsRisk review is part of the hiring workflow

Monitoring after use

Whether AI-supported hiring outcomes are monitored for errors, inconsistent recommendations, and candidate-impact risks.

Do you monitor AI-supported hiring outcomes for errors, inconsistent recommendations, complaints, or candidate-impact risks?

NoOnly ad hoc when an issue is noticedSome monitoring or review existsYes, monitoring and escalation are part of the operating process

Data protection linkage

Whether candidate-data handling, minimisation, DPIA/privacy review, and retention are connected to the hiring workflow.

Are candidate-data handling, minimisation, privacy/DPIA review, retention, and deletion connected to the AI-supported hiring workflow?

No or unclearPolicy exists but execution is manualControls exist in some systems or process stepsControls are operationalised in the hiring workflow

Workflow ownership

Whether recruiters, hiring managers, and external tools operate inside a controlled workflow with clear ownership.

Are recruiters, hiring managers, and external suppliers/tools working inside a shared controlled workflow with clear ownership?

No, work is spread across inboxes, files, chats, and manual notesSome shared tools exist, but handoffs are manualMostly shared, with some gapsYes, the hiring process is workflow-driven with clear ownership

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