So this is another AI company?

No. Worki is workforce-unifying infrastructure. Instead of adding one more point solution, we connect the systems you already own so AI can act on unified data with a human in control.

We already have Workday / UKG / Oracle. Why do we need this?

Those are systems of record. Worki is the connective layer, giving you visibility across them and letting AI agents act, without ripping and replacing anything.

How do the AI agents access our data? What about security?

Agents operate on a governed workforce data mesh with structured approvals via the Human Conductor. Your data stays yours, access is scoped, and every action is auditable.

How fast can this deploy?

Because there is no rip-and-replace, most engagements start delivering visibility in weeks, not quarters, phased around the roles and tasks you choose to target first.

What does this look like from an IT perspective?

A lightweight integration layer alongside your existing stack. No migration, no data lake rebuild, Worki reads from your systems of record and coordinates action.

We've been burned by AI vendors overpromising. How do we know this works?

Every recommendation is evidence-based and grounded in a proprietary task-level database. Start with one role. One department. Ninety days. Then let the infrastructure compound.

Pricing is phased and tied to scope, start with a single role or workflow. The goal is a 20%+ reduction in administrative overhead that funds the next phase.

What's the financial case?

U.S. healthcare spends $265.6B annually on administrative costs. A phased 20%+ reduction on targeted roles and tasks compounds quickly across a system.

Who owns the data? What happens if we leave?

You own your data at all times. Worki does not lock you in, if you leave, your systems of record remain the source of truth, unchanged.

Does this replace our HR team?

No. Worki amplifies people. The Human Conductor keeps your team in control, agents remove administrative burden so staff focus on higher-value work.

Can this work outside of healthcare?

Yes. The task-level approach generalizes to other complex, labor-intensive industries. Healthcare is where we start because the burden is greatest.

We're a smaller system. Is this only for large health systems?

No. The low barrier to entry means smaller systems can start with a single role or workflow and grow into the coalition over time.

Start with one role. One department. Ninety days. Then let the infrastructure compound.

I already have an AI point solution for recruiting. Does Worki replace it?

Not necessarily. Worki unifies the data your point solutions depend on and coordinates across them, complementing what already works.

Do I have to share my data with other enterprises?

No. Infrasharing is opt-in and built on privacy-preserving intelligence, you benefit from coalition insights without exposing raw data.

How is this different from outsourcing or BPO?

BPO moves work to people elsewhere. Worki keeps work in-house, amplifying your own team with AI on your own unified data, no loss of control or institutional knowledge.

← All news

Press ReleaseApril 16, 20262 min read

Worki’s Workforce Infrastructure Vision Spotlighted by HR Dive

HR Dive spotlights Worki’s $2.75M pre-seed round, led by Redesign Health and Healthliant Ventures, and its vision for a connective AI workforce infrastructure layer in healthcare.

SAN FRANCISCO — Worki, a healthcare workforce infrastructure company, announced a $2.75 million pre-seed funding round led by Redesign Health and Healthliant Ventures to help health systems reduce administrative overhead and transition to AI-driven operations.

Health systems are moving beyond AI pilots into actual deployment, yet many lack clear direction while modernizing operations and addressing workforce concerns. Worki provides an infrastructure layer connecting workforce systems and enabling AI deployment across real roles while keeping humans central to task execution.

The funding reflects demand for solutions bringing structure to fragmented landscapes, offering leaders visibility into work performance and methods to introduce AI without disrupting teams. Early deployments have demonstrated measurable results, with health system partners decreasing administrative burden and anticipating significant cost savings as adoption expands.

Worki’s task-role architecture maps work across healthcare administrative and operational functions. This structured mapping creates a contextual layer identifying precisely where AI agents can augment, automate, or streamline specific tasks within existing roles. Rather than broad AI deployment, the contextual layer provides agents with granular intelligence to operate within real workflow boundaries. Automation decisions are grounded in actual organizational function across credentialing, onboarding, redeployment, skills development, and workforce planning.

The founding team combines healthcare operations, commercial strategy, and artificial intelligence expertise. CEO Craig Allan Ahrens brings workforce operations and healthcare startup scaling experience; CCO Michael Biggs offers healthcare commercial strategy and go-to-market experience; CTO Harvey Hongwei Li, PhD, previously led AI and machine learning at Uber and Airbnb.

“Worki is building the infrastructure healthcare organizations need to operationalize AI across their workforce, connecting fragmented systems.”
Neil Patel, Head of Ventures at Redesign Health

“What stood out about Worki is that it’s built to operate within the complexity of workforce operations, not around it.”
Steve West, Managing Director at Healthliant Ventures

“Leaders don’t have a clear roadmap for adopting AI while reducing costs. What we’re building is the task level AI infrastructure that brings clarity.”
Craig Allan Ahrens, CEO, Worki

Worki currently works with Tanner Health, BJC Healthcare, and other major organizations nationwide, with additional partnerships underway.

The company plans to expand across additional health systems and develop infrastructure for complex workforce environments. While initially focused on healthcare, Worki intends to extend its model to other complex, regulated industries.

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 infrastructure: 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).

See what Workforce Unifying Infrastructure™ can do for your system.

Book a Demo