A global Fortune 50 healthcare and life sciences enterprise, operating across highly regulated, high-complexity markets. Its HR organization supports tens of thousands of employees and processes enormous volumes of work every month — from talent acquisition and analytics to employee experience and HR systems.
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The HR team knew AI could transform how they work — but had no reliable way to answer the harder question: where, exactly, to apply it, and how to prove the value. Reporting, data cleaning, and reading open-text feedback were absorbing hours of manual effort every week.
Reejig translated the organization’s job data into its Work Ontology® — breaking every role into tasks, mapping required skills, and scoring AI potential. Instead of guessing, teams got a precise map of where to apply automation, paired with purpose-built prompts in Copilot. 04 The outcome Hours back, function by function Across seven HR functions the same work now takes a fraction of the time — an average of 5.3 hours saved per task, with 78% of AI outputs meeting or exceeding what the practitioners expected. The map, not the tooling, was the unlock.