Design organizations that actually work
Org design is done in spreadsheets and PowerPoint, disconnected from real workforce data. Restructures are based on intuition rather than evidence.
AI that recommends optimal structures, role definitions, and reporting lines based on actual work patterns, skills distribution, and strategic goals.
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 maps reporting lines, span of control, collaboration patterns, decision bottlenecks, and talent concentration. It compares your actual structure against how work really flows to identify misalignments.
Yes. Based on your strategic goals, it suggests where to flatten hierarchies, consolidate functions, create new teams, or redistribute decision authority. Each recommendation includes impact analysis.
The agent provides data-driven analysis that removes subjectivity. It shows which structural changes would improve velocity, reduce bottlenecks, and better distribute talent – giving leaders evidence-based arguments.
Yes. Run multiple scenarios – centralized vs. decentralized, matrix vs. functional, regional vs. global – and see the projected impact on speed, cost, talent utilization, and management overhead.
Yes. The agent flags which changes affect the most people, which require the most role transitions, and which have the highest risk of disruption – helping you sequence changes for minimum friction.
AI-powered org design that turns real workforce patterns into optimal structures.