18 use cases found
Santander, a large bank in Argentina, used a type of AI called "digital workers" to dramatically speed up their new employee onboarding process. This change cut down the time it takes to get new hires ready from six weeks to just two days, making a big difference for both the new employees and the HR team. It shows how automating repetitive tasks can free up HR to focus on more strategic work and improve the employee experience from day one.
This case study explores how AI can help HR teams understand what employees are really thinking and feeling, especially from open-ended feedback. It shows how AI can turn lots of comments into clear themes and also check company messages for hidden biases. The main idea is to use AI to get better insights and take action faster, making employees feel more heard and engaged.
This case study explores the risks of using AI in recruitment, specifically focusing on how these systems can lead to unfair bias and discrimination. It highlights the challenges HR teams face when AI tools, designed to make hiring more efficient, inadvertently create legal and ethical problems. The main takeaway is that even with good intentions, AI can perpetuate existing inequalities if not carefully managed.
This case study looks at how IBM, a very large global company, used its own AI system called Watson to make employee training much more personal and effective. Instead of giving everyone the same general courses, Watson helps each employee learn exactly what they need for their specific job and career goals. This approach saved a lot of training time and made employees happier with their learning.
Epiq, a global legal firm, used AI tools to fix their messy and inconsistent new employee onboarding process. They created an automated system that saved time and money, making sure new hires got what they needed faster and allowing their IT team to focus on more important work. This shows how AI can make HR tasks much smoother, especially for large companies.
This case study looks at how some companies are using Artificial Intelligence, or AI, to make their hiring process better. It shows how they are using AI to sort through many job applications, which helps them find good candidates faster and more efficiently. This matters to HR because it highlights practical ways to use AI to improve recruitment without completely replacing human judgment.
KPMG, a large professional services firm, started using AI to improve how their employees learn and develop new skills. They introduced an AI tool to help people find relevant learning materials and get personalized recommendations, making learning more effective and accessible.
This case study explores how various companies, particularly in India, are using artificial intelligence to automate repetitive HR tasks. The goal is to free up HR professionals to focus on more strategic and people-centric work, improving efficiency and the employee experience. It shows that AI isn't replacing HR, but rather supporting it to handle large volumes of work and make better decisions.
This case study looks at a bank that used an AI tool for hiring and ended up facing a discrimination claim. It highlights the serious risks of using AI in recruitment if you don't fully understand how it works and its potential for bias. It's a cautionary tale for any HR professional considering AI for hiring.
This case study looks at how one company used AI in their hiring process to make things better for job applicants and the HR team. They found a way to use technology to screen candidates more effectively without making the process feel cold or impersonal. It shows that AI can actually help improve the quality of candidates who move forward to human interviews.
This case study looks at how Hewlett Packard (HP) and General Motors (GM) used AI chatbots to improve their hiring processes. Both companies wanted to make it easier for job seekers to find information and apply, and to speed up how quickly they could get candidates through the hiring steps. It shows how technology can help HR teams handle a lot of applications more efficiently and give candidates a better experience.
This case study shows how a large healthcare company used AI to get ready for big changes in jobs due to automation. They focused on cleaning up their HR data and using AI in a smart, ethical way to help their leaders make better decisions about their workforce. It's a good example of how HR can stay important and lead change when new technology comes along.