AI recruiting & machine learning

Simplify recruiting, dynamically engage talent, and reduce hiring bias with job matching and recruiting chatbot technology.

Fast track your goals

iCIMS has woven AI throughout the Talent Cloud to help you provide a compelling candidate experience, identify talent with the right skills and experience, improve efficiency, and remediate bias in the hiring process.

Engage talent and improve DEI

Create connections with a diverse pool of candidates. With iCIMS Talent Cloud AI, you can:

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Provide candidates with inspiring, relevant job recommendations

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Keep current employees engaged with internal career sites that match interests and skills to job postings

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Remove subjectivity by leveraging automated matching and ranking with Video Interview software

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Connect with more candidates any time, any place, and on any device using recruiting chatbots to share information and automate hiring tasks

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Do less and deliver more

Find the best fit for your talent roles, faster.

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Allow recruiters to immediately identify and prioritize highly qualified candidates through automated review of 100% of inbound resumes

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Help sourcers, recruiters, and hiring managers find top talent by surfacing profiles similar to their favorite candidates in seconds

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Prioritize candidates or prospects by skills and experience so you can reduce bias and simplify the screening process

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Recommend jobs to candidates using resume data and career site search to closely align candidates’ qualifications, skills, and career interests with current openings

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Responsible AI

Artificial intelligence within the iCIMS Talent Cloud is a critical and foundational element of our technology. We are committed to evolving and strengthening our AI according to best practices and global regulations so you can feel comfortable you are recruiting ethically and responsibly—from sourcing to advancement. 

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All decisions should begin and/or end with human decision points.

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AI/ML contextual recommendations should be explainable to support human understanding and decisions.

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Private & secure

Applicable data privacy and security measures should be extended to all AI/ML data storage and processing.

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Inclusive and fair

AI/ML should be designed as fair, compliant technologies to promote diversity, equity, and inclusion while furthering the well-being of customers, candidates, employees, and partners.

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Technically robust and safe

AI/ML technologies should be designed as robust applications to decrease the risk of unintended consequences or errors.

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AI/ML technologies should be designed to work responsibly, and support audits, risk assessments and mitigation actions aligned with good corporate governance.


Learn more about how iCIMS can help you attract, engage, hire, and advance the best talent.

Thank you for your interest in iCIMS. A Sales representative will be in touch with you shortly.