Using the Reejig Work Ontology® to reinvent how HR work gets done — mapped to the task, across seven functions.
5 min read • Results verified with the customer
Reduction in task completion time
Faster on high-volume data & skills work
Saved on average per task
78% Of AI outputs met or exceeded expectations
HR functions reinvented
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.
In our recent webinar, Amy Wilson (former Head of Product at SAP SuccessFactors and now Product Advisor at Reejig), Josh Gosliner (VP of Product Strategy at SAP SuccessFactors), and Siobhan Savage came together to unpack the changes reshaping workforce strategy.
In our recent webinar, Amy Wilson (former Head of Product at SAP SuccessFactors and now Product Advisor at Reejig), Josh Gosliner (VP of Product Strategy at SAP SuccessFactors), and Siobhan Savage came together to unpack the changes reshaping workforce strategy.
“Add the customer or analyst pull quote here — one sentence, in their words, about what changed.”
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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.
The challenge, the approach, and what trusted work data unlocked.
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How we measured this
How it works
Every engagement runs the same loop. Map the work, analyze it, build against it, run it, measure it, log it, and keep it current as the work moves.
Build the Work Context Graph
Your GPS for reinvention
Workflows and agents
Deliver the new way of working
Track board-ready ROl
Source of truth and audit trail
Keep the architecture current
The loop never stops. As roles, tasks and agents change, the architecture updates itself — which is why the numbers in this story kept holding after go-live.
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