The Best AI Tools in Human Resources
- Tretyak
- Apr 18
- 4 min read

I. Recruitment & Talent Acquisition
Eightfold AI:
Summary: Eightfold AI's platform uses AI to understand skills, predict potential, and help with talent acquisition, management, and development. It goes beyond traditional resume screening to provide deeper insights into candidates and employees. Key features include skills inference, career pathing, and workforce planning.
Link: https://eightfold.ai/
Beamery:
Summary: Beamery is a talent lifecycle management platform that uses AI to help companies attract, engage, and retain top talent. It offers features like candidate relationship management (CRM), personalized communication, and AI-powered sourcing to identify and connect with potential candidates.
Link: https://beamery.com/
Phenom:
Summary: Phenom's Talent Experience Management (TXM) platform leverages AI to personalize the experience for candidates, employees, recruiters, and hiring managers. It provides features like AI-powered chatbots, career site personalization, and skill-based matching to improve the efficiency and effectiveness of talent acquisition and development.
Link: https://www.phenom.com/
II. Learning & Development
Degreed:
Summary: Degreed is a skills development platform that uses AI to curate learning content, personalize learning paths, and track skills development. It helps employees identify skills gaps and access relevant learning resources to advance their careers.
Link: https://www.degreed.com/
LinkedIn Learning:
Summary: LinkedIn Learning provides a vast library of online courses and uses AI to recommend relevant content to users based on their skills, interests, and career goals. It also provides skills insights to organizations.
III. HR Management Systems (HRMS) with AI
Workday:
Summary: Workday is a cloud-based HRMS that incorporates AI and machine learning to enhance various HR functions. AI is used for talent management, workforce planning, predictive analytics, and automating HR processes.
Link: https://www.workday.com/
SAP SuccessFactors:
Summary: SAP SuccessFactors is a cloud-based HRMS suite that leverages AI to support HR processes such as recruiting, performance management, succession planning, and learning. AI helps automate tasks and provide data-driven insights.
IV. Employee Experience & Engagement
Glint (LinkedIn):
Summary: Glint is an employee engagement platform that uses AI to analyze employee feedback from surveys and provide insights into employee sentiment, morale, and areas for improvement in the workplace.
Culture Amp:
Summary: Culture Amp is an employee experience platform that uses AI to analyze survey data, identify trends in employee feedback, and provide recommendations for improving company culture and employee engagement.
V. AI-Powered Communication
ServiceNow:
Summary: ServiceNow is a workflow automation platform that includes AI-powered tools to streamline HR service delivery, automate employee requests, and improve communication. AI-driven chatbots and virtual assistants can help employees find information and resolve HR-related issues.
VI. Foundational AI Tools (Used in HR)
IBM Watson:
Summary: IBM Watson is an AI platform that provides natural language processing (NLP) and machine learning capabilities. While not solely an HR tool, Watson can be used for tasks like analyzing text data (e.g., job descriptions, employee feedback), building chatbots, and automating HR processes.
Google Cloud Vertex AI:
Summary: Google Cloud's Vertex AI platform enables the development and deployment of custom machine learning models. HR departments can use Vertex AI to build AI solutions tailored to their specific needs, such as predicting employee attrition or automating candidate screening.
Amazon SageMaker:
Summary: Amazon SageMaker is an AWS platform for building, training, and deploying machine learning models. HR can leverage SageMaker for tasks like analyzing employee data, optimizing workforce planning, and personalizing employee experiences.
Microsoft Azure Machine Learning:
Summary: Microsoft Azure Machine Learning provides a cloud-based environment for building and deploying AI solutions. HR teams can use Azure ML to develop AI applications for various purposes, including talent analytics and process automation.
Link: https://azure.microsoft.com/en-us/services/machine-learning/
VII. Emerging AI in HR (Expanded Descriptions)
AI Video Interviewing Platforms:
Summary: These platforms use AI to analyze video interviews of job candidates. AI algorithms may assess factors like:
Facial expressions and body language
Tone of voice and speech patterns
Keywords and phrases used
Overall communication skills
More Detail: The goal is to provide a more objective and data-driven evaluation of candidates, potentially reducing bias and improving the efficiency of the screening process. However, these tools raise ethical concerns about privacy, fairness, and the potential for algorithmic bias.
Link:
HireVue: (A prominent provider in this space)
AI for Internal Knowledge Bases:
Summary: AI enhances internal search and information retrieval within company knowledge bases, wikis, and documentation. AI can:
Understand complex search queries and natural language
Identify relevant documents based on context and meaning
Summarize long documents
Personalize search results based on user roles and needs
More Detail: This helps employees quickly find the information they need, reducing time spent searching and improving productivity. It's particularly useful in large organizations with vast amounts of internal information.
Links:
(a) Guru: (Knowledge management platform with AI search features)
(b) Search for "AI enterprise search" or "AI knowledge management system" to find other vendors.)
AI for Employee Sentiment Analysis:
Summary: AI tools analyze employee communications and feedback to gauge employee morale, identify potential issues, and understand employee sentiment. This can involve:
Analyzing survey responses (text and ratings)
Monitoring internal communication channels (e.g., Slack)
Analyzing employee reviews and feedback
More Detail: AI can detect patterns and trends in employee sentiment, helping HR to proactively address concerns, improve employee experience, and reduce turnover. Ethical considerations around privacy are critical.
Links:
(a) Culture Amp: (Also listed earlier for employee engagement; they have sentiment analysis features)
(b) Qualtrics: (Also listed earlier for surveys; they have text analytics capabilities)
AI for HR Chatbots:
Summary: Chatbots powered by AI can answer employee questions about benefits, policies, and procedures, providing instant support and freeing up HR staff for more strategic tasks.
More Detail: Chatbots can handle frequently asked questions, guide employees through HR processes (e.g., enrollment), and provide personalized information. They can be integrated into various communication channels like company intranets or messaging platforms.
Links:
(a) Dialogflow (Google Cloud): (A platform for building conversational AI, including chatbots)
(b) Amazon Lex: (Another platform for building chatbots)

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