Aaliyah’s apprenticeship connects classroom learning with real work, but the records remain scattered across different organizations. A portable TalentPass helps her carry the whole experience forward.
When Luis’s facility closes, his job disappears—but his 14 years of experience do not. See how a state workforce agency can help him carry that value into a new industry.
Elena’s association can see who joined, attended, and completed a course—but not what members are becoming or what their profession will require next. A consent-based human intelligence layer changes what the organization can understand.
Horizon can track AI usage, but needs to understand its effect on real work. Follow a TalentSync scenario connecting workflow evidence, employee insight, and decisions about what to scale.
Organizations can measure AI adoption but often cannot determine whether AI is improving the work. This article introduces the Human Intelligence Layer: infrastructure connecting people, evidence, workflows, and outcomes so organizations and AI can continuously learn and transform together.
Follow an electrical contractor preparing crews for a new project: clarify requirements, review worker records, resolve readiness gaps, and recognize experience.
Follow a home-services owner coordinating project crews, preparing returning workers, and carrying experience from one season into the next.
Follow a studio owner and two instructors as they improve onboarding, share learning across locations, and connect professional growth with client experience.
Follow a fictional retail team as checkout, replenishment, returns, and safety responsibilities come together through clearer context and shared learning.
Follow a family ranch as it clarifies responsibilities, preserves practical knowledge, prepares seasonal help, and considers its next stage of growth.