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Planbase Launches AI Workforce Management for Healthcare Platform with $2.1M

by Fred Pennic 11/05/2025 Leave a Comment

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What You Should Know: 

– Planbase, the first AI-native employee management platform designed specifically for healthcare, has officially launched, securing $2.1M in seed funding led by Y Combinator, LocalGlobe, and prominent angels.

– The company will use the funds to expand into more medium-large clinics nationwide and hire additional software engineers.

Automating Complex Workforce Management with AI

Managing employees in healthcare is uniquely complex, requiring prediction of staffing needs, compliant scheduling, and handling licenses across multiple states—tasks traditionally managed manually by large teams. Planbase’s AI-native solution fully automates employee management, from onboarding and credential tracking to forecasting patient demand and staff scheduling.

Co-founder Joe Shearman highlighted the platform’s core advantage: “Today clinics are overwhelmed with all the complex tasks required with workforce management… This set of tasks around scheduling and pay, as well as patient volume predictions, are ideal for AI to automate so doctors and nurses can spend more time on patient care, and clinics reduce risks of costly human errors.”.

Proven ROI and Efficiency Gains

Planbase has already secured multiple customers managing thousands of providers and over 30 million patients. The platform’s ability to automate these complex tasks saves large clinics hundreds (or even thousands) of hours per month, dramatically reducing costs and better utilizing busy, understaffed teams.

OpenLoop, a fast-growing telehealth platform and Planbase customer, reported significant results: “We’ve already increased patient volume by 40% and reduced scheduling time by 70% across our entire provider operations team,” said Noah Van Eldik, Practice Manager at OpenLoop.

Core AI Features for Simplified Workflows

Planbase offers three core AI features designed to simplify complex employee management workflows:

  1. Interactive Interface: Users can ask natural language queries (e.g., “How many nurses and physicians do I need to schedule for the Friday after Thanksgiving?”) to build customized UIs or get immediate answers unique to their clinic.
  2. Predictive Analytics: The platform uses predictive analytics to forecast patient visit volumes, accounting for factors like seasonal trends (e.g., increases in the flu).
  3. Agentic Workflows: AI agents autonomously handle tasks such as verifying provider licenses across states, flagging expiring credentials, or building compliant staffing plans.
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