Simplify recruiting, dynamically engage talent, and reduce hiring bias with job matching and recruiting chatbot technology.
Create connections with a diverse pool of candidates. With iCIMS Talent Cloud AI, you can:
Provide candidates with inspiring, relevant job recommendations
Keep current employees engaged with internal career sites that match interests and skills to job postings
Remove subjectivity by leveraging automated matching and ranking with Video Interviewing
Connect with more candidates any time, any place, and on any device using recruiting chatbots to share information and automate hiring tasks
Find the best fit for your talent roles, faster.
Allow recruiters to immediately identify and prioritize highly qualified candidates through automated review of 100% of inbound resumes
Help recruiters and hiring managers build the best teams by allowing them to describe the perfect candidate, then find them in minutes
Compare and prioritize candidates and existing employees already in your talent pool by using data connections to rank for “best fit”
Recommend jobs to candidates using resume data and career site search to closely align candidates’ qualifications, skills, and career interests with current openings
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.
All decisions should begin and/or end with human decision points.
AI/ML contextual recommendations should be explainable to support human understanding and decisions.
Applicable data privacy and security measures should be extended to all AI/ML data storage and processing.
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.
AI/ML technologies should be designed as robust applications to decrease the risk of unintended consequences or errors.
AI/ML technologies should be designed to work responsibly, and support audits, risk assessments and mitigation actions aligned with good corporate governance.
