IBM HR scales people analytics with generative BI agents in watsonx BI pilot
IBMIBM watsonx BI · IBM Cognos
IBM's own HR organization piloted watsonx BI, using Generative Business Intelligence agents with a governed semantic layer so business leaders and managers could ask workforce questions in natural language instead of navigating static dashboards. The Q3 2025 pilot achieved an 89.26% accuracy rate on a sample of user-submitted questions and reduced time-to-answer for summary-level talent data from days to minutes.
Overview
IBM's own HR organization piloted watsonx BI, using Generative Business Intelligence agents with a governed semantic layer so business leaders and managers could ask workforce questions in natural language instead of navigating static dashboards. The Q3 2025 pilot achieved an 89.26% accuracy rate on a sample of user-submitted questions and reduced time-to-answer for summary-level talent data from days to minutes.
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Inspect the highlighted sourceThe challenge
As people-analytics usage expanded beyond HR analysts to business leaders, managers, and other non-technical users, dashboards alone weren't enough: these users didn't always know which filters to apply, how metrics were defined, or which dashboard to open, and workforce questions are rarely one-dimensional, requiring multiple data points to interpret. HR teams still spent valuable time interpreting data for others, while leaders struggled to navigate complex dashboards.
The solution
IBM's HR organization piloted watsonx BI's Generative Business Intelligence (GenBI) agents, which let leaders and managers ask workforce questions in natural language through a conversational interface and receive explainable answers, including the data sources, columns, filters, and SQL query used. The solution runs on a governed semantic layer embedding HR logic and metric definitions, and reused IBM's existing enterprise lakehouse data and reporting frameworks like Cognos.
Reported business value
The Q3 2025 pilot achieved an 89.26% accuracy rate on a sample of user-submitted questions, and business users report time-to-answer for summary-level talent data dropped from days to minutes; HR teams spend less time fielding repetitive data requests and more time on strategic advisory, and business leaders can explore skill distributions across units and geographies on their own.
Sources
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