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Simplify recruiting, dynamically engage talent, and reduce hiring bias with job matching and recruiting chatbot technology.
For better accuracy, AI in iCIMS doesn’t just rely on requisition and resume data. Our patent-pending technology uses multiple algorithms, which allows our AI to identify and use similar job titles and skills to the ones listed. As a result, your teams and candidates get better matches—even if the resume and job description weren’t written perfectly.
You can build more quality pipelines by empowering recruiters to find talent they may have overlooked. AI in iCIMS can help you:
Avoid missing top talent by categorizing candidates based on relevant skills and experience
Backfill and close new roles faster by identifying candidates similar to top candidates or high-performing employees in similar roles
Get your diversity hiring strategy on track using DEI analytics that can project whether you’ll meet your diverse candidate slate goals
Hire a more inclusive workforce by using responsible AI that helps remediate bias in the screening process
Enable candidates to identify jobs they didn’t know they were qualified for. AI in iCIMS can help:
Give job search guidance for candidates and employees with an AI-powered recruiting chatbot
Allow job seekers to surface the roles that match their skills and experience—even some that may surprise them
Provide equitable experiences through bias mitigation
Promote internal mobility by recommending roles that match employees’ skills and experience
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.
