Worki Raises $2.75M Pre-Seed to Streamline Healthcare Workforce Operations

Worki, a healthcare workforce infrastructure company, announced it has raised $2.75 million in pre-seed funding led by Redesign Health, a healthcare venture builder, and Healthliant Ventures, Tanner Health's venture arm, to help health systems reduce administrative overhead and navigate the shift to AI-driven operations.

Health systems are moving past AI experiments and into real implementation, but many are still figuring out where they're headed, all while trying to modernize how they operate and reassure their teams about what this means for their jobs. Worki addresses this by providing an infrastructure layer that connects workforce systems and enables AI to be deployed across real roles and workflows with humans remaining at the center of all tasks.

The investment from Redesign Health and Healthliant reflects growing demand for solutions that bring structure to a fragmented landscape, giving leaders visibility into how work is performed and a way to introduce AI without disrupting their workforce. Early deployments have already shown measurable impact, with health system partners reducing administrative burden and projecting meaningful cost savings as adoption scales.

Central to Worki's approach is a task-role architecture that maps how work is performed across healthcare administrative and operational functions. This structured mapping creates an actionable contextual layer, a roadmap that identifies precisely where AI agents can augment, automate, or streamline specific tasks within existing roles. Rather than deploying AI broadly and hoping for adoption, the contextual layer provides each agent with the granular intelligence it needs to operate within the boundaries of real workflows. Decisions about where to introduce automation are grounded in how organizations actually function, spanning credentialing, onboarding, redeployment, skills development, and workforce planning, not in abstract job titles or org charts. This task-level specificity is what allows Worki's agent infrastructure to scale across departments and systems while maintaining the operational clarity that health system leaders require before committing to AI-driven change.