Worki Enables Healthcare System Partners to Remove Hundreds of Millions in Overhead with AI Workforce Unifying Infrastructure

In the face of significant market headwinds, many health systems need to cut 20% or more from administrative overhead, but have difficulty on how to and where to start given AI and shifting demand:

SAN FRANCISCO, March 24, 2026 /PRNewswire/ -- Non-clinical roles represent 34% of total health system overhead, but most organizations lack the operational visibility needed to manage that workforce effectively. While many health systems aim to reduce administrative costs by 20% or more, they often lack visibility into which roles can be amplified, how to redeploy those workers, or how to turn efficiency gains into real cost savings.

Worki, a healthcare workforce infrastructure company, emerged from stealth with a group of leading health systems implementing to close what it calls the AI workforce operational gap. The company connects an organization's existing systems into a single infrastructure layer without requiring a rip-and-replace approach.

On that foundation, Worki's four components operate as a continuous improvement system. AI-powered agents monitor workforce operations, benchmark performance, recommend changes, and automate efficient workflows, while insights are fed back into the system to drive ongoing optimization. Over time, this creates compounding gains in cost reduction and productivity. Workforce and HR leaders remain at the center of decision-making while AI agents execute administrative workflows that amplify their ability to manage complex workforce operations.

Worki's architecture includes four core layers designed to unify workforce systems and automate workforce operations:

Worki was founded by a leadership team that has spent decades working in healthcare operations and workforce technology and set out to solve the workforce challenges they repeatedly saw health systems struggle with throughout their careers. The founding leadership team includes:

"The average health system runs 10 or more workforce platforms, a growing number of AI point solutions, and still relies on paper and spreadsheet tracking to fill the gaps between them," said Ahrens. "Worki is defining a new category as one that unifies fragmented workforce systems, surfaces the friction points and waste hiding across them, charts a path forward for workforce and HR overhead roles being reshaped by AI or shifting demand, deploys intelligent agents to execute real operational workflows around HR and workforce functions, and delivers the connective, scalable AI workforce infrastructure layer that healthcare has never had."

The company is implementing in three health systems, including a large multi-state Midwestern health system and a Southeastern health system. Partners project millions in first-year administrative savings, with the system's compounding architecture designed to increase impact over time. Health systems can start small with one role or one department and can choose where they have gaps through one or more of Worki's four infrastructure layers and expand as efficiencies are realized. While Worki's initial focus is healthcare, the company plans to extend the infrastructure to other complex industries.

For more information about Worki, visit www.worki.ai.

About Worki

Worki is building the connecting AI infrastructure layer for dramatically lowering costs and improving productivity in healthcare workforce and HR operations. The company's AI-native infrastructure sits between the systems health systems already use, including Workday, UKG, Oracle, ServiceNow, AI point solutions, ATS, LMS, and others, unifying workforce and HR data into the connective tissue that provides a context layer powering AI-driven decisions and the development of AI agents around functional roles. Four capabilities organize the platform: Pathways (mapping how AI reshapes healthcare administrative tasks), Unify (creating a single modular data identity across siloed systems), Amplifiers (translating intelligence into operational action via agents that amplify traditional HR roles), and Infrasharing (scaling workforce intelligence and AI agent infrastructure across organizations).

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SOURCE Worki