Optimizing Enterprise-Level HR with GenAI

Among WorkBuzz’s clients are major enterprise companies that manage thousands of employees across numerous departments. WorkBuzz CTO Lewis North describes the “two-sided problem” these companies face: First, managers are often promoted into leadership positions without the experience or necessary training on how to effectively manage people. Additionally, HR departments tend to be overburdened and under-resourced, lacking the capacity to support these new leaders with the information and direction they need to understand, analyze and take action.

WorkBuzz made it their mission to solve the two-sided problem. However, their People Science team of trained consultants wasn’t large enough to support all of their clients, so they needed a technology solution to allow them to rapidly scale. They pondered a way to use generative AI to automatically summarize massive amounts of employee-survey data points and from them generate actionable insights for HR managers. Their own internal team lacked the experience with LLMs required to build a functional solution, so they took the advice of their AWS representative and came to Loka for help.

Loka’s engineers built a pipeline that receives anonymized survey results, pre-processes them and feeds the data into an LLM. The model then generates actionable insights that follow WorkBuzz’s unique assessment guidelines and evaluation framework, then delivers them to HR staff via the WorkBuzz platform. The entire platform requires a fraction of standard people hours and compute resources. WorkBuzz calls this productionized service People Science AI.

The People Science AI platform processes survey data and analysis exceptionally accurately at speeds far faster than human capability, even at enterprise-sized companies. With it WorkBuzz now has a differentiator and new flagship offering to bring to clients.