Workforce Planning

AI supports workforce planning by combining capacity, skills, costs, and scenario data to help HR teams and managers make short- and mid-term staffing decisions.

Business impact

• Planning time — One deployment reduced planning time from 90 minutes to 30 minutes.
• Planning time saved per manager — One deployment reported 60 minutes saved per manager daily.

Data requirements

• Employee data (tabular) — Used to build workforce and skills profiles.
• Work data (tabular) — Used to analyze tasks and workforce demand.
• Jira data (tabular) — Used as work-system data for skills and task analysis.
• Skills data (tabular) — Used to create skills profiles and workforce insights.
• Business scenario data (tabular) — Used to compare staffing plans under different operating assumptions.

AI methods and techniques

• Scenario simulation — Used to test short- and mid-term workforce plans against different business conditions.
• Skills analysis — Used to build skills profiles and support workforce insights.
• Workflow automation — Used to embed AI-supported steps into compensation, planning, and job-description workflows.
• Task analysis — Used to examine work tasks for possible AI augmentation.

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: Merck, Siemens Energy, Synopsys, Walmart.