6 Real-World AI in HR Examples: Drive Performance in 2025

Paradigm’s Culture for Everyone Platform seamlessly integrates AI-enabled software with a team of experts to help companies build high-performance cultures where everyone can do their best work.

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Looking at AI in HR examples can illustrate how leading organizations are using the technology to improve hiring, increase engagement, and retain top talent. But unlocking those benefits requires more than just adopting new tools. Without a clear strategy and access to granular data, AI can fall short of expectations. 

If you’re considering implementing AI into your HR processes, it’s important to first understand its challenges, benefits, and use cases to ensure a smooth transition.

What Is AI in HR?

AI in HR is the use of artificial intelligence technologies to streamline, automate, and transform traditional HR processes. It can assist with tasks like:

  • Identifying top talent
  • Anticipating turnover risks
  • Enhancing the employee experience
  • Guiding data-driven decisions
  • Automating administrative tasks

Artificial intelligence in HR technology can speed up time-consuming tasks like scheduling interviews, running payroll, and performing routine data analysis—freeing HR professionals to focus on more impactful work, such as creating a positive workplace culture.

6 Real-World AI in HR Examples for 2025

Artificial intelligence is being used across HR functions, from talent management and automated workflows to improving employee satisfaction and engagement. Here are six human resources categories and examples of how you can use AI in each one.

1. Hiring and Onboarding

The use of AI in screening resumes isn’t new, but the technology now supports every part of hiring, from the recruitment process to new employee onboarding and training programs. Generative AI (GenAI) tools write job descriptions, AI-powered chatbots answer candidate FAQs, and natural language processing (NLP) matches candidates to jobs based on their skills and qualifications.

A screenshot shows a landing page displaying some of LinkedIn’s AI-powered features

For example, LinkedIn now offers a suite of AI capabilities to help recruiters do more in less time. Its algorithm enables quick candidate searches based on your instructions, accelerating the sourcing process. It also offers AI tools to:

  • Create personalized LinkedIn messages
  • Generate automated follow-ups
  • Search data on candidate resumes that might not be on their profiles

2. Employee Engagement and Feedback

AI is diving deeper into employee insights by analyzing employee sentiment, predicting potential issues, and tailoring support to individual needs. For example, it can process vast amounts of data to identify who might be at risk of burnout and trigger proactive interventions.

In 2016, General Electric (GE) replaced its old performance review system with an AI-powered app called PD@GE. Instead of annual performance reviews and ratings, employees can now receive ongoing feedback from anyone in their network. The platform analyzes employee data and provides continued insight into performance and goal progress.

3. Culture Diagnostics

Artificial intelligence can help you determine the health of your company culture by analyzing employee feedback, communication data, and workplace patterns. It can recognize behavioral trends and engagement levels and connect them to positive or negative cultural indicators, such inclusion, morale, and turnover.

For example, Paradigm’s Culture for Everyone Platform can measure workplace culture maturity by identifying organizational strengths and gaps, providing you with insights like:

  • Whether specific employee demographics are having a less positive workplace experience  
  • How your cultural maturity, hiring and performance management processes, and learning and development efforts compare to similar companies
  • Benefits competitors offer that you may lack

Paradigm’s Blueprint product image showing culture strengths and gaps, and maturity scores, like Growth Mindset

The platform also offers recommendations for targeted actions to address issues and improve the employee experience. By translating data into next steps, it can help you move from awareness to accountability, ensuring culture goals lead to measurable impact.

4. Retention and Attrition Prediction

AI-powered predictive analytics can help you reduce turnover by identifying which employees are at risk of leaving and recommending specific steps to encourage them to stay. 

PepsiCo, for example, uses AI to match employees with training courses and degree programs through its no-cost Digital Academy based on the employee’s role and career goals. The online program offers more than 11,000 learning assets across all skill levels.

According to a report by the Aspen Institute, the program reduced attrition by 18% among participants compared to nonparticipants.

5. Performance and Growth 

AI enables more personalized, equitable development by delivering continuous feedback, identifying support needs, and uncovering disparities in growth opportunities. It connects performance data with culture drivers like belonging and psychological safety to help you build strategies that boost engagement, performance, and retention.

IBM uses its internal learning platform, Your Learning, to deliver personalized, AI-driven learning experiences to its workforce. A 2019 report by MIT showed that 99% of the company’s 336,000 employees accessed Your Learning at least once, engaging with tailored development paths based on their roles, skills, and career aspirations. This approach keeps learning relevant to individual growth while aligning with IBM’s organizational goals.

6. Strategic Workforce Planning

AI can help you plan more strategically by allowing you to optimize resources based on forecasted talent needs. It can analyze skill gaps and staffing requirements to ensure the right people are in the right roles, when and where you need them most. 

For example, Starbucks uses AI through its Deep Brew app to automate labor scheduling. It makes demand predictions based on past sales data, foot traffic, seasonal trends, and local events to generate schedules that align staffing with actual needs.

The Benefits of AI in HR Operations

AI offers clear advantages for HR teams looking to improve performance, reduce manual workload, and create a better employee experience. Here are five benefits of using AI technology in your HR strategy.

Efficiency and Automation

Artificial intelligence can improve operational efficiency and productivity by automating manual tasks, accelerating routine HR workflows, and improving data accuracy. 

AI-driven screening and matching tools can also reduce time to hire, freeing your team to focus on more people-centric work.

Smarter Decision-Making

AI-powered HR analytics tools quickly sift through large amounts of data to help inform real-time decision-making. Real-time insights into employee sentiment and engagement allow you to act immediately on issues affecting the workplace.

Analytics tools also use predictive analytics to flag risks, such as potential turnover, using metrics like:

Combining all of these datasets into a single platform gives you a comprehensive view of your culture and workforce health.

Cost Reduction via Resource Optimization

Using AI in HR can save you money through better resource allocation. It can predict future staffing needs by analyzing historical data and current trends, helping to prevent you from over- or understaffing. It can also make sure you have the right people in the right roles at the right times based on their skills and experience.

Personalization at Scale

AI helps create custom experiences at scale using data and machine learning. It analyzes individual preferences, learning styles, skills gaps, and career goals to enable:

  • Targeted communications
  • Tailored career development opportunities
  • Customized learning pathways
  • Individualized and immediate support via chatbots
  • AI-led mentorship

When employees receive more personalized support, engagement and retention improve, sparking motivation and long-term employee performance. According to a 2025 report by Gartner, more than one in five digital workplace applications will use AI-driven algorithms to create personalized experiences for the worker by 2028. And, those who are satisfied with workforce applications are more likely to be productive than those who aren’t satisfied.

AI can also provide high-level strategic guidance for HR leaders through chatbot “coaches” like Paradigm’s AI Assistant.

Paradigm’s AI Assistant recommends actions based on assessment results and your related questions.

Culture Clarity and Accountability

AI solutions can dive into unstructured data, like open-ended survey responses, to measure how employees feel about your company. Combined with continuous real-time feedback collection, this can give you a much deeper understanding of your organization’s culture beyond surface-level observations. You can then use these insights to develop more targeted culture initiatives.

AI in HR can also help level the playing field when it comes to accountability, as it removes biases in performance reviews and clearly measures each employee’s productivity level.

Overcoming AI in HR Challenges

While AI can bring a lot of good to human resource management, it doesn’t come without risks. Here are a few challenges to consider when implementing AI into your workflows.

Ethical Risks and Algorithmic Bias

AI solutions are only unbiased if they’re trained on unbiased data. Using biased data can perpetuate existing inequalities, widening gaps in team diversity and leading to unfair hiring and promotion practices. 

To avoid this, use representative training data, engage fairness-aware algorithms, and evaluate who is building the solutions you are adopting. Hiring a diverse development team can also help you catch biases.

Employee Trust and Transparency

Not everyone is excited about AI in the workplace, and it’s important to acknowledge that. Employees may worry about job displacement or how their sensitive data is used.

You can mitigate these challenges by communicating clearly and often with your staff. Explain exactly how AI is being used to support HR processes and protect data privacy, as well as the benefits it brings to the organization. The more transparent you are, the better your teams will feel.

You can also help support a mindset change with specific resources like Paradigm’s Thriving Through Change workshop, which helps learners understand the forces reshaping the workforce and equips them to work with agility.

Change Management and Manager Enablement

Ethical and privacy concerns can create challenges in change management that hinder AI adoption. 

Managers play a key role in easing the transition, so help them upskill through targeted training programs. Providing hands-on support demonstrates how AI can make their role easier and free up time for more impactful work.

How to Adopt AI in HR

A manager shows an employee how to use something on his computer

Once you have buy-in to adopt AI into your human resources department, it’s time to start the implementation process. Here are a few key steps to take during AI adoption:

  • Identify areas for improvement. Evaluate which HR functions AI can enhance, whether by increasing efficiency or providing valuable insights.
  • Consider your corporate policies. Take a deep dive into your organization’s policies surrounding AI and security to determine which tools would be compliant.
  • Choose your tools. Look for tools that go beyond reporting to turn insight to action so your data can easily be put to use, and consider factors like user-friendliness and access to expert consulting.
  • Train your people. Train managers to effectively use and interpret data from AI tools while still maintaining a human touch.

Once implemented, continuously monitor, measure, and refine AI’s use across your HR functions to assess fairness, accuracy, and efficacy.

What’s Next for AI in HR?

HR technology is evolving at a rapid pace, which means there are even more AI-driven tools and features coming down the pipeline. There are some promising innovations shaping the future of AI in HR.

Culture-coaching bots like Paradigm’s AI Assistant are new to the field and will continue to grow in maturity, helping you build cultures where everyone feels they belong.

Culture intelligence platforms use data and analytics to analyze communication styles, cultural nuances, and dynamics across teams. They help users navigate culturally diverse environments and make it easier for individuals to collaborate.

How Paradigm Helps HR Leaders Harness AI to Build Culture

AI is transforming HR not just from an efficacy standpoint, but from a cultural and belonging perspective as well. It can deliver personalized employee growth opportunities, predict workforce trends, and help HR leaders navigate inclusion and engagement in the workplace.

Paradigm uses AI to shape cultures where everyone can thrive. These research-backed, data-driven solutions demonstrate how AI can enhance the employee experience, enable smarter decisions, and turn culture into a performance advantage—especially when paired with a purpose-led strategy and real-life experts.

Get more from your data. Contact us to leverage technology to create a culture where everyone feels valued, included, and motivated.


AI in HR FAQs

What Is the Role of Artificial Intelligence in HR?

Artificial intelligence is reshaping company cultures and HR processes through automation, data analytics, and personalized guidance. AI supports HR tasks within talent acquisition, performance management, onboarding, learning and development, and workforce planning.

Will AI Replace HR?

While AI can automate some repetitive administrative tasks, it won’t likely replace HR professionals entirely. HR teams remain essential for strategic decision-making, human oversight to monitor the ethical use of AI, and the emotional intelligence needed to resolve conflicts and create a positive work environment.

How Do You Measure ROI on AI in HR?

To measure ROI, compare the cost savings and increased revenue generated by AI to your total investment in the technology. Cost savings may come from automation or improved employee retention, and investment includes implementation and maintenance costs. Remember that AI may have long-term benefits that outweigh your initial investment.

August 26, 2025

If you’re interested in using AI to transform hiring, engagement, and retention, contact us today!