Human Capital Management Institute Adds AI Capabilities to SOLVE Workforce Analytics and Planning Software

Human Capital Management Institute Adds AI Capabilities to SOLVE Workforce Analytics and Planning Software

The Human Capital Management Institute (HCMI), helps clients improve business results through smarter workforce spending and better talent management by providing business analytics for Human Resources Management. Today, they announced the addition of major artificial intelligence (AI) capabilities to SOLVE – its workforce analytics and planning software that uniquely links people investments to key business outcomes.

According to the company, more than 1,000 predictive machine learning algorithms and natural language processing now enable the software to much more rapidly find and report actionable insights to employers. SOLVE integrates and analyzes sets of HR, financial and operational data, and applies 620 standardized human capital metrics to identify key drivers of productivity, costs, turnover, retention, engagement, leadership, and performance for an organization.

“While other workforce analytics solutions focus on HR outcomes alone, SOLVE links HR outcomes to business results to enable smarter workforce spending by telling you where to invest, where to cut, and whom to hire,” HCMI President Steven Maxwell said. “The new artificial intelligence super-charges the software, enabling it to give more actionable insights in less time, which generates more value for employers.”
Other benefits for employers include:
  • Lower the workforce cost structure as much as 10% or more
  • Measure and predict changes in workforce value and risk for board governance and reporting
  • Provide business-critical workforce performance measures vs. KPIs and benchmarks
  • Improve the financial linkage between strategic business planning and strategic workforce planning
  • Increase retention and reduce the cost of turnover
  • Improve quality of hire while reducing the cost of hire
  • Develop a stronger leadership bench

Read the full announcement.


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Elizabeth Quirk

Liz is a leading enterprise technology writer covering Enterprise Resource Planning (ERP), Business Process Management (BPM) and Talent Management Suites (TMS) at Solutions Review. She writes to bridge the gap between consumer and technical expert to help readers understand what they're looking for. Liz attended Massachusetts College of Liberal Arts, where she obtained her Bachelor of Arts Degree in English and Communications. You can reach her at equirk@solutionsreview.com
Elizabeth Quirk

About Elizabeth Quirk

Liz is a leading enterprise technology writer covering Enterprise Resource Planning (ERP), Business Process Management (BPM) and Talent Management Suites (TMS) at Solutions Review. She writes to bridge the gap between consumer and technical expert to help readers understand what they're looking for. Liz attended Massachusetts College of Liberal Arts, where she obtained her Bachelor of Arts Degree in English and Communications. You can reach her at equirk@solutionsreview.com

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