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Case study ยท From the Pluris libraryReceipt no. 8338
What sucked

A healthcare network serving children with intellectual disabilities, autism, and neglected youth watched caregiver quality collapse after COVID.

Hourly caregivers, responsible for feeding, playing with, and supervising children who cannot be left alone, grew disengaged, sometimes ignoring patients for extended periods. The organization tried bonuses, training programs, gift card incentives, and pay increases. Nothing worked. With a 55-year reputation for exceptional care on the line, the CEO came searching for a fundamentally different kind of solution.

Healthcare & Life SciencesHR & People4โ€“6 months
What they built

The AI Lab partnered with computer vision specialists to build a positive-reinforcement recognition system using 300 cameras already installed on campus, identifying exceptional caregiver behavior at 99% accuracy and converting those detections into weekly incentive scores reviewed by managers.

What changed
99% accuracy

Computer vision correctly identifies exceptional caregiver interactions at 99% accuracy

Culture shift

Veteran staff report care quality returning to pre-COVID levels, visible across the entire campus

Pilot โ†’ rollout

System exiting pilot phase and entering campus-wide deployment

Time to results
4โ€“6 months
Company size
251-1,000 people
Who did it
Ryan Kurt
CEO & Founder, The AI Lab

Vetted by Pluris.