Smarter hiring starts before the role is posted
Requisitions are rubber-stamped without validating if the role could be filled internally, if tasks could be automated, or if the job description reflects actual needs.
AI that enriches every requisition with skill requirements, checks internal candidate availability, assesses automation potential, and recommends the best path forward.
2.4M skill nodes and 18.7M relationships mapping people, jobs, and skills across your organization.
Vector-based semantic search finds the right people through meaning, not keywords.
14 specialized tools for matching, predicting, and acting on workforce data.
Connects people to roles, learning, and mentors based on skills and goals.
Policy enforcement, approval workflows, and audit trails for every AI action.
Measurable Impact
It verifies internal candidate availability, validates the job code against your architecture, checks compensation band alignment, identifies automation potential for listed responsibilities, and flags if similar roles were recently filled or eliminated.
Yes. If qualified internal candidates exist, the agent surfaces them with fit analysis and cost comparison. Promoting internally typically costs 40% less and yields 2x better retention.
By pre-validating everything approvers would check anyway. The requisition arrives with headcount plan alignment, budget confirmation, internal candidate assessment, and job architecture validation already completed.
Yes. The agent works within your configured approval chains. It does not bypass governance – it makes the process faster by ensuring every requisition arrives complete and validated.
Yes. If a role has significant automation potential or overlaps heavily with existing positions, the agent recommends a redesign conversation before committing to a hire.
AI that validates, enriches, and optimizes every requisition before a single candidate is sourced.