We build digital twins of organizations grounded in labor economics. Leaders use them to test hierarchy, staffing, and automation decisions on a model of how work really gets done, before committing people and budget.
Org charts cannot tell you what happens to output if you move people or add a layer. A twin can, because it models matching, team structure, and learning.
Model how span of control, management layers, and team design shape productivity for a given industry.
Test surge staffing, backfill, restructuring, and automation. Compare options on readiness and output.
Assign people to roles using matching theory, so the right skills sit in the right place.
We ground the twin in established economic models, so the results are interpretable and defensible.
A person and a role form a match whose quality is uncertain and learned over time. This drives staffing and backfill that protect output.
Organizational structure is an assignment of people, and increasingly software, to tasks and teams when skills are imperfect substitutes.
Skills are produced through learning and experience. We model how training and role design build the capability an organization needs.
Workforce readiness, staffing under surge, and restructuring for agencies that need decisions they can explain and defend.
Workforce planning, human capital analytics, and organizational design for companies adapting to automation.
Tell us the decision you face, a surge, a restructuring, or an automation plan, and we will show what a twin reveals.
Email hello@skillgraphlabs.com