Close skill gaps with the right action, not just training
Skill gaps are identified but solving them defaults to generic training programs. Most gaps need a mix of learning, experience, and mentoring that nobody assembles.
AI that matches each skill gap with the optimal combination of learning content, stretch projects, role rotations, and peer mentoring.
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 compares your current workforce skill inventory against your strategic requirements – future role definitions, technology adoption plans, and market skill demand curves. Gaps are prioritized by business impact.
Both. For each gap, the agent generates a resolution plan: which employees can be upskilled, what learning paths close the gap fastest, which gaps require external hiring, and what the timeline and cost look like.
Yes. Gaps are scored by business criticality, cost of inaction, ease of resolution, and strategic alignment. A Python skills gap affecting your AI strategy ranks higher than a minor proficiency gap in a stable function.
It considers current proficiency, learning style, available time, career goals, and the specific gap to close. Two employees with the same gap might get different learning paths based on their starting point and trajectory.
Yes. The agent monitors skill development across all enrolled employees – course completion, assessment scores, project application – and updates the organizational gap status in real time.
AI that prescribes the exact combination of learning, projects, and mentoring each person needs.