A global case cited in “10 Use Cases of AI in HR with real-world case studies” where Unilever processes ~30,000 hires per year and partnered with Pymetrics (among others) to use gamified assessments + machine learning to match candidates to roles.
Used the AI tool Textio embedded into its ATS (via Workday) to optimise job-ads and recruitment messaging for equity, diversity and inclusion.
Developed “MiPAL” (via Leena AI) to answer HR queries for staff (nurses, doctors etc) 24/7 and reduce new-hire attrition and HR case resolution times.
Used AI to build an assistant for data-privacy/dpo queries (natural-language) so HR/legal teams can answer country-by-country rules without specialists.
A case study collection in the blog by MiHCM showing a multinational corporation reduced recruitment time by ~40%, increased diversity hires ~30% after deploying AI screening + analytics.
For instance, one European shipping company used analytics (job redesign) to reduce absenteeism by ~6%, contractor costs by €350 k. While not solely AI, it illustrates the analytics + HR value link that underpins many AI-HR cases.
Example: RPG Group used a chatbot (via Leena AI) to answer HR questions: 92% answered within minutes; average ticket resolution dropped from 1 day to 4 hours.
One case from RChilli: “Gr8 People Gets Gr8 Talent” used RChilli’s resume parser to extract candidate info (skills, education, etc) and improve screening.
A paper “Ethical AI in HR: A Case Study of Tech Hiring” explores machine-learning in hiring and the nuance of automating parts of HR decisions (not a single company’s name, but illustrative).
A resource which aggregates many different organisations and how they apply AI across HR (hiring, analytics, assistants, L&D) and is a good source list in itself.
