Use case · Recruitment and HR
Govern recruitment and HR AI around the decision it influences.
Recruitment, worker management and access-to-employment uses can raise significant EU AI Act, data-protection and employment questions. EU AI Fit helps the organisation preserve the system facts, decision boundaries and evidence needed for a controlled review—without treating a product label or supplier claim as the answer.
Product demonstration · 1 minute 59 seconds
Manage the AI lifecycle
Follow a hypothetical AI system through inventory, exposure, role, classification, ownership, obligations, evidence and controlled lifecycle decisions. All organisations, people and systems shown were created for demonstration, and no client data appears.
Read the video transcript
An AI system should not move from an idea into live use simply because a team feels ready. EU AI Fit turns that journey into a controlled, reviewable process. The portfolio shows every recorded system, lifecycle stage, accountable owner, exposure position and reviewed classification.
Inside each system record, responsibility becomes active only when the nominated owner accepts it. Before progress, the workflow checks foundations such as approved role and classification, a current exposure check, an obligation and evidence plan and operational risk review.
A lifecycle change records the request, evidence, reviewer, decision and rationale. Production is not the end: controls, indicators, incidents and material changes can trigger reassessment. The result is an operating trail from discovery and pilot through production, suspension or retirement.
Why this needs control
The important facts often sit outside the procurement description.
A tool described as scheduling, matching or decision support may still influence who is seen, ranked, shortlisted, monitored or promoted. Classification depends on intended purpose and the real operating process, including what a person can understand and override.
A defensible record therefore connects supplier information to the configured use, affected people, decision significance, data, human oversight and operating evidence.
In this scenario
Northstar Hiring Assist
A UK software company proposes an AI-supported recruitment service for roles in several EU countries.
- The supplier calls the product an administrative assistant.
- Recruiters can use a generated suitability ranking before interview selection.
- The organisation has not yet agreed whether a recruiter must review every excluded candidate.
- Candidate information, complaints and supplier change notices are held in separate systems.
The team records the configured purpose and decision pathway, pauses approval of automated ranking, requests supplier evidence and routes the classification and oversight design for qualified review.
Every organisation, person and system in this scenario is hypothetical and contains no client data.
Practical workflow
From proposed use to a maintained decision.
- 01
Record the actual use
Separate scheduling, search, recommendation, ranking, monitoring and decision uses instead of assessing the product name once.
- 02
Establish role and exposure
Retain the organisation's conduct, intended purpose, affected people, Annex III indicators and unresolved facts.
- 03
Design meaningful oversight
Define the information, competence, authority, intervention points and escalation route available to the responsible person.
- 04
Control supplier and operating evidence
Keep instructions, limitations, testing, complaints, incidents, changes and review decisions connected to the relying system.
What the record should retain
Evidence follows the use case.
- Intended-purpose and decision-pathway record
- Provider, deployer and value-chain rationale
- Candidate and worker impact facts
- Human-oversight design and acceptance
- Supplier response, conditions and reassessment date
- Training, monitoring, complaint and incident evidence
Continue the review
Read the connected guidance.
Next step
Start with the system and use you are actually proposing.
Run the initial exposure check, then retain the deeper assessment, responsibility and evidence work inside a controlled workspace.
Run the free check