AI use cases for human resources
Application screening, onboarding, review analysis and an internal assistant: AI in the service of HR teams.
Application screening and shortlisting
Screening a hundred applications takes between 3.5 and 8.5 hours of work, at six minutes per CV. Deloitte's human capital research puts the share of recruiters' time spent on this screening alone at 40 to 60%. Screening then becomes partial and inconsistent from one recruiter to another, and relevant profiles stay lost in the pile.
Job description generation
Writing job descriptions that are complete, attractive and consistent with company standards takes time. Managers express their needs in different ways, and an imprecise advert has a knock-on effect: more unsuitable applications, longer screening, and a risk of early departure when expectations diverge from the start.
Automated onboarding journey
Preparing a new employee's onboarding means personalising many documents: welcome booklet, first-week schedule, training path. The work is usually done in a rush in the days before arrival, so steps get missed and the welcome is standardised where the employee expects a framework designed for them.
Annual review analysis
Annual review write-ups hold valuable material on training needs, career wishes and points of concern. Across several hundred employees, that material goes unused: a consolidated reading exceeds the time an HR department has.
Internal AI assistant
HR teams handle a daily flow of repeated questions: leave balance, health insurance, remote working, collective agreement, expenses. The answers are already in the agreements and procedures. Time spent answering individually reduces their capacity for recruitment, reviews and workforce planning.
Writing interview reports
Writing up recruitment, annual or career interviews keeps managers and HR busy long after the conversation ends. Written late, these reports lose precision and detail, which weakens their value for follow-up and for the next review cycle.
Employee survey and engagement barometer analysis
Engagement barometers, satisfaction surveys and internal polls produce thousands of verbatims that manual reading struggles to cover at scale. The quantitative results get circulated, while the richest material, the qualitative feedback, stays in the raw files.
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