115 Use Cases of Gen AI in HR
- Jean-Baptiste Audrerie
- May 29, 2024
- 10 min read
Updated: Aug 31
Dynamic List – Version 2 – May 2024
Welcome to the most comprehensive guide to AI use cases in HR.
We hope this guide will help you familiarize yourself with and understand how AI enhances and disrupts the capabilities offered by HRIS.
It was created to serve as an evaluation grid for the most frequent needs in your organization.
While some use cases are anecdotal, others have the potential to transform and disrupt an entire economic sector (e.g., training, coaching, career orientation, management).
This list of use cases is based on our monitoring of HR TECH (see our HR TECH Directory) and the analysis of their emerging capabilities based on AI among the leading publishers in North America.
When AI infiltrates the digital economy, our creativity takes over.
Artificial intelligence is not a fad. It is the new reality in the historical evolution of technologies.
After the era of data, we now enter the era of information, insights, and content generation (text, code, voice, images, videos, actions). The advancements in LLMs (large language models) and AI based on multiple language models open up staggering possibilities with infinite repercussions.
Global investments in AI are staggering and are shifting away from traditional technologies.
Another indicator: the use cases in HR are numerous... very numerous.
Our initial evaluation in October 2023 modestly indicated 50 uses. A few months later, we have identified 115.
Some use cases noted here are found among several publishers, while others are only marketed by innovative publishers, sometimes based on needs not yet formulated by clients.
Disclaimer: This list is not exhaustive. Not all vendors can address all use cases.
What is an AI use case in HR?
A use case with AI in HR refers to a specific application of artificial intelligence technology to address and enhance a human resources process or function. This can include automating repetitive tasks, generating insights from large datasets, personalizing employee experiences, and predicting future workforce needs.
Before delving into the details of the use cases, here are the general capabilities with structured and unstructured data:
• Content generation
• Automation
• Orchestration (task management, workflows, triggers)
• Personalized experience
• Forecasting
To explore the use cases, open one of the 16 accordion menus below:
1. Talent Attraction / Acquisition / Skills-Based Hiring
1. Jobs and Skills Mapping from Labor Market Analytics: AI can analyze labor market data to identify current trends and predict future skills demands.
2. Passive Candidate Web and Social Sourcing: AI (NLP in most cases) can source candidates from Web and Social Platforms using natural language processing to identify relevant skills and experiences.
3. Dynamic Career Pages for Candidates’ Conversion Rate Optimization (CRO): AI can analyze candidate data and preferences to generate personalized content showcasing the company culture, values, and employee benefits.
4. Real-Time Application Feedback: AI can provide candidates with immediate feedback on their applications, improving the candidate experience and transparency.
5. Data-Driven Insights for Candidate Attraction Strategies: AI can analyze candidate attraction data to identify what attracts and engages top talent, informing future recruitment strategies.
6. Organizational Culture and Employer Branding Content Generator: AI can adjust outreach tone to organizational culture with a few clicks.
7. Realistic Job Simulation with Immersive Scenario and Real-Time Candidate Feedback Engagement: AI can create realistic job simulations to engage candidates and provide real-time feedback.
8. AI Job Description Generator: AI can create job descriptions tailored to the target candidate and job board.
9. Optimization of Job Posting Display: AI can optimize job postings to target specific candidates and job boards.
10. Optimization of DEI Job Ads and Postings: AI can ensure job postings and outreach materials are inclusive and promote diversity, equity, and inclusion.
11. Screening and Candidate Fraud Detection: AI can identify when candidates may be cheating using content from large language models like ChatGPT.
12. Resume Parsing: AI can extract relevant information from resumes efficiently.
13. Automated Resume Screening and Intelligent Search: AI can automate the screening process and perform intelligent searches to find suitable candidates.
14. Skills and Candidate Job History Inference: AI can infer skills and job history from resumes, cover letters, and other documents.
15. Job and Talent Matching for Candidates: AI can provide personalized job and career recommendations based on candidates’ profiles.
16. Job and Talent Matching for Recruiters, Candidate Rating: AI can analyze resumes and profiles to match candidates with suitable job openings.
17. Predictive Hiring: AI can analyze data from various sources to predict a candidate's potential success in a role.
18. Career Page Conversational Assistant (or formerly Chatbot) for Opportunities Discovery or Rediscovery: AI can assist candidates in discovering job opportunities through conversational interfaces.
19. Pre-Screening Conversational Assistant (or formerly Chatbot): AI can conduct initial candidate screenings and answer questions.
20. Video Interview Assessments: AI (Speech to Text) can transcribe and analyze video interviews for insights.
21. Candidate Prescreening Automation: AI can automate the initial screening process for candidates.
22. Candidate Communication Automation: AI can handle routine communications with candidates, keeping them informed throughout the hiring process.
23. Personalized Programmatic Job Ads: AI can generate targeted job descriptions that resonate with ideal candidates.
24. Social Media Recruitment and Candidate Sourcing: AI can identify potential candidates on social media based on their skills and interests.
25. Behavioral Question Generator: AI can create behavioral interview questions tailored to the role and candidate.
26. Candidate Background Check: AI can automate the background check process, verifying information and identifying discrepancies.
27. Candidate Fraud Detection and Assessment Proctoring: AI can assess potential risks associated with candidates and identify fraudulent information.
28. Interview AI Note Taking for Recruiters: AI can take detailed notes during interviews, allowing recruiters to focus on the conversation.
29. Internal Talent Opportunities Marketplace for Employees and Contingent Workers: AI can match employees with internal opportunities based on their skills and career goals.
2. Pre-Boarding / Onboarding / Cross-Boarding / Reboarding / Off-Boarding
30. Dynamic Preboarding Forms: AI can create personalized preboarding forms for new hires or rehires.
31.Personalized Onboarding: AI can tailor paced onboarding experiences to individual employees.
32.Quiz Generator for new employee: AI can create quizzes for onboarding and training purposes.
33.Knowledge Base: AI can provide a centralized knowledge base for new employees.
34. AI Onboarding Assistant: AI can assist new hires with onboarding tasks and questions.
35. Exit Interview Analysis: AI (NLP) can analyze exit interviews to identify patterns and insights.3. Employee Portal / Communication / Collaboration
3. Employee Portal / Communication / Collaboration
36. Dynamic and Personalized Homepage Content: AI can personalize the employee portal experience by recommending relevant news, resources, and learning materials based on individual roles, interests, and past interactions.
4. Knowledge Management
37. Knowledge Base (Q&A, Conversational Assistant): AI can power a Q&A assistant to help employees find information quickly.
38. Meeting AI Note Taking: AI can take notes during meetings, allowing participants to focus on the discussion.
39. Intelligent Search and Content Management: AI can enable intelligent search functionalities within the HR knowledge base.
40. Task Automation and Optimization: AI can automate repetitive tasks for frontline workers.
5. Skills Management / Assessments
Conversational Assessment Agent: AI can assess candidates and employees through conversational interfaces.
Gamified Assessments and Simulations: AI can create engaging and interactive assessments.
Automated Skills Assessment via Adaptive Questionnaires: AI can evaluate skills through adaptive questionnaires.
Automated Skills Assessment via Video or Interview : AI (Speech-to-Text, Video-to-Text) can assess skills through video interviews.
Skills Inventory Management / Taxonomy: AI can manage a comprehensive skills inventory and taxonomy.
Skills Ontology: AI can develop a detailed skills ontology for the organization.
Skills Inference: AI can infer skills from various data sources.
Skills Analysis, Gap Analysis, and Forecasting: AI can analyze and forecast skills needs based on current and future business requirements.
6. Learning and Training
50. Summarized Content / Condensed Training: AI can generate summaries of books, courses, and training materials.
51. Learning Content Portal (LXP): AI can curate relevant content for learners.
52. Automated Learning Content Curation : AI can curate learning materials from various sources (Videocast, Podcast, Books).
53. Rapid Content Creation from Files: AI can create learning content from various file types (PPT, Word, Audio-Video).
54. Quiz Generator: AI can create adaptive quizzes for training.
55. Quiz Gamification Generator: AI can gamify quizzes for a more engaging learning experience.
56. AI Video Generator with Avatar: AI can generate explainer videos for micro and nano-learning.
57. AI Voice Generator with Avatar: AI can create voice-to-video content.
58. Audio Content or Podcast Generator: AI can generate podcasts and audio content.
59. Voice Cloning: AI can clone voices for training and communication purposes.
60. Adaptive Learning: AI can personalize learning experiences based on the learner's style, mastery level, and responses.
61. Predictive Analytics for Learning Outcomes: AI can predict learning outcomes and adjust learning paths proactively.
62. Nudge Personal AI Assistant: AI can provide personalized learning nudges.
63. Instant Learning Feedback: AI can provide immediate feedback on learning activities.
64. Memory Reinforcement: AI can reinforce learning with quizzes, refreshers and flashcards.
65. Spatial Computing with Augmented Reality (AR): AI can enhance training with AR by providing contextual information.
66. Exam Proctoring and Student Fraud Detection: AI can monitor exams and detect fraudulent behavior.
7. Performance / Goals Management / Feedback / Management
67. Goal Setting and Tracking: AI can assist in setting and tracking SMART goals.
68. Feedback Aggregator and Insights: AI can aggregate feedback and provide actionable insights.
69. Question Generator for Conversations: AI can generate questions for performance conversations.
70. Feedback Theme Suggestions: AI can suggest feedback themes based on evaluated skills and manager comments.
71. AI Manager Assistant: AI can guide managers in conducting conversations about employee strengths, potential, and growth.
8. Development, Succession, Career and Mobility
72. High Potential Contributor Identification: AI can identify high-potential employees and recommend development opportunities.
73. Predictive Flight Risk Indicator: AI can predict the risk of employee turnover.
74. Goal Setting and Tracking: AI can assist in setting and tracking employee goals.
75. AI Coaching Assessment and Matching: AI can match employees with suitable coaches.
76. AI Coach Assistant: AI can assist coaches in providing effective guidance.
77. AI Coaching Assistant: AI can provide coaching support to employees.
9. Talent Management
78. Reskilling and Upskilling Recommendations: AI can recommend training programs for skill development.
79. Talent Review Profile Comparison: AI can compare talent profiles for managers.
80. Talent Pools: AI can build talent pools for targeted outreach.
10. Employee Voice, Engagement & Recognition
81. Automated Survey Comment Analysis: AI can analyze employee survey comments for themes, risks, and actions to improve engagement.
82. Comment Clarification Suggestions: AI can suggest clarifications for ambiguous employee comments.
11. HR Analytics
Data Visualization Charts Generator: AI can create data visualization charts.
HR Analytics with Vocal Command: AI (NLP) can perform HR analytics using vocal commands.
Headcount Forecasting: AI can forecast headcount needs.
Predictive and What-If Scenarios Simulation: AI can simulate predictive and what-if scenarios.
Predictive Flight Risk Indicators: AI can predict employee turnover risks.
12. Time Management / Pay
88. Automated Time Tracking: AI can generate time-sheets from time clock data.
89. Predictive Absence Management: AI can predict potential absences and suggest preventative measures.
90. Automated Scheduling: AI can create optimized schedules.
91. On-Demand Forecasting: AI can provide on-demand workforce forecasts.
92. Workforce Optimization and Cost Management: AI can optimize resource allocation and identify cost-saving opportunities.
93. Intelligent Gig Worker Matching: AI can match gig workers with tasks based on skills, location, and availability.
13. Pay Compensation / Social Benefits
94. Pay Anomalies Reporting: AI can identify and report pay anomalies.
95. Fair Pay Analysis: AI can ensure fair compensation practices.
96. Competitive Compensation Benchmarking: AI can benchmark compensation packages against market data.
97. Predictive Compensation Modeling: AI can predict the impact of compensation strategies on retention and engagement.
14. Health & Safety / Wellness / Well-Being
98. H&S Knowledge Base: AI can provide a knowledge base for health and safety information.
99. Stress Identification and Management: AI can identify and manage employee stress using emotional AI.
100. Well-Being Assessment and Coaching: AI can assess employee well-being and provide coaching.
101. Sleep Management Assistant: AI can help employees manage their sleep patterns.
102. Optimized Care Protocols: AI can optimize care protocols to reduce sick leave.
103. Predictive Risk Identification: AI can identify potential safety hazards.
104. Real-Time Monitoring: AI-powered sensors can monitor employee health and safety.
105. Safety Training and Simulations: AI can create immersive safety training experiences using VR and AR.
106. Near-Miss Reporting and Analysis: AI can analyze near-miss reports to identify trends and mitigate risks.
107. Automated Hazard Detection: AI can detect unsafe conditions using cameras and computer vision.
15. HR Service Center / Help Desk
108. Automated Data Entry and Validation: AI can automate data entry tasks.
109. Employee Self-Service Portal: AI-powered assistants can handle routine HR queries and tasks.
110. HR Agent Assistant: AI can assist HR agents with queries about policies, procedures, and benefits.
111. “Callbot” and Front-Line Conversational Agent: AI can manage the first requests from employees (like those from customers), via a telephone call to understand the question in natural language (NLP) in several languages and answer the most common questions. frequent, if documented. Callbots (Telephone) and Conversational Agents (Web) transcribe questions and answers and are learners.
112. Workflow Health Indicator and Optimization: AI can monitor and optimize workflows.
113. Automated Administrative Processes: AI can automate routine administrative tasks.
16. HR / Org Design / Org Chart / Budget
114. Dynamic Org Chart Generation and Updates: AI can update organizational charts in real-time.
115. Visualizing Team Dynamics and Skills: AI can analyze team compositions and skills gaps for better collaboration.
This comprehensive list of AI use cases in HR illustrates the transformative potential of AI in various HR functions.
By leveraging these technologies, organizations can improve efficiency, enrich the employee experience and make data-driven decisions.
Want to think about how these emerging capabilities can help your HR department experiment with AI, automate, and transform? Contact us.
Comments