Blog
With SAP SuccessFactors rolling out new AI hiring features, there's never been a better time to add CLARA's ethical AI layer. While SAP's AI automates your hiring process, CLARA ensures it's actually improving your hiring quality.
What this means for your team
The integration enhances your current processes while minimizing the back-and-forth between different tools. When candidates are processed through CLARA, all relevant insights automatically sync to your SuccessFactors portal. Your hiring team can continue using the platform they're comfortable with while getting access to enhanced candidate data and intelligent screening and scoring capabilities–or log into CLARA for an ultra-modern experience.
Key features
SAP's latest AI update brings automation to SuccessFactors—but automation without ethics can amplify existing problems. Here's how CLARA’s easy-to-use tools complement and improve upon SAP's new capabilities:
Beyond AI job descriptions: SAP's AI writes job posts. CLARA ensures the candidates you attract are evaluated fairly, regardless of how they're sourced.
Smarter skills matching: SAP's AI matches keywords and experience. CLARA evaluates actual capabilities and soft skills using advanced Ai and research-backed assessments—finding talent that resume screening alone can miss.
True bias mitigation: SAP's interview feedback insights are based on historical data. CLARA's ethical framework prevents that historical bias from influencing future decisions.
CLARA vs. SAP's new AI features: What makes the difference
Skills matching: SAP analyzes resumes for keyword matching. CLARA evaluates skills, traits like critical thinking, learning agility, and distance traveled, and role fit beyond what's written on paper.
Bias mitigation: SAP's AI learns from historical hiring data which can lead to unintentional bias. CLARA's ethical AI framework actively identifies and mitigates bias from the evaluation process.
Candidate discovery: SAP's screening prioritizes obvious matches. CLARA uncovers 28% more high-potential candidates that traditional AI screening misses.