Workforce Capital Management

Human capital management, or HCM, refers to the strategies, processes and technology employers use to support employees across the employee lifecycle. This often includes HR, payroll, benefits, talent acquisition, onboarding and workforce management.

Workforce Capital Management, or WCM, is the next evolution of HCM strategy. As organizations begin to manage both human workers and agentic workers, such as AI agents and automation, they need a more complete way to understand how work gets done.

A WCM platform gives employers one place to manage every worker, human or AI. That can help improve visibility, strengthen accountability and create a clearer view of the people, HR technology and processes contributing to the business.

HCM software helps employers manage the HR work that supports employees every day. It often includes a human resources information system (HRIS), sometimes called a human resources management system (HRMS). This core system of record helps connect employee data across recruitment, payroll processing, time and attendance, employee self-service and more.

The value of HCM software comes from connection. When HR data comes from a single source, teams can spend less time making manual updates, keep information more consistent and give employees and managers easier access to what they need. An HCM platform helps lay the groundwork for WCM by connecting core HR data and workflows, making it easier for organizations to manage employees, contractors and AI tools.

A WCM platform helps organizations manage work with more visibility, control and confidence. That matters as work expands beyond traditional employee roles. Many organizations now rely on employees, contractors, AI agents, automation and other tools to support business needs.

A connected WCM platform helps leaders better understand who or what is doing the work, how that work is being managed and where decisions need to be made. That visibility can support better workforce planning by helping organizations understand capacity, identify gaps and decide where people, automation or AI-driven work may be needed. As the data connects over time, it can also surface predictive insights that help leaders plan ahead with more confidence.