AI Skills and Agents for SAP SuccessFactors

By extending the Attributes Library and Growth Portfolio, iMocha infers, validates, and contextualizes skills, then writes them back into Talent Intelligence Hub. With enterprise-ready synchronization, skills context flows across all talent experiences, creating a unified and trustworthy skills foundation that supports analytics, workforce planning, and skills-based programs at scale.

Through skills written back into job profiles and candidate records, iMocha enables skills-first screening and matching. By validating inferred skills with assessments and real-world signals, recruiters gain objective visibility into candidate fit, rediscovery, and role alignment, improving hiring quality and speed while reducing reliance on resume-based decisions.

With validated proficiency data mapped to critical roles, iMocha surfaces readiness, bench strength, and risk indicators directly within succession workflows. By connecting skills signals to role expectations, organizations identify successors objectively, assess preparedness continuously, and make data-driven decisions for leadership continuity.

By feeding validated skill gaps into learning workflows, iMocha aligns development programs to actual proficiency needs rather than self-reported inputs. With continuously updated skills signals, learning investments focus on targeted upskilling and reskilling, improving training relevance and accelerating workforce readiness.

Through enriched and validated skills profiles, iMocha enables accurate opportunity matching for projects, gigs, and internal roles. By basing recommendations on real capabilities, employees connect to opportunities that fit their skills, improving internal mobility, utilization, and visibility across the enterprise.