Regard Employees Test AI Utility in Claudeathon
Health care AI firm Regard encourages staff to rethink daily workflows using Claude to reduce fear of displacement.
Updated on Sept. 30, 2026 in Remote Work

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Health care AI company Regard has launched an internal ritual called the Claudeathon, where employees dedicate one day to re-evaluating their professional responsibilities using the AI tool Claude. The initiative aims to shift employee adoption of new technology from a position of fear to one of curiosity.
Why it matters
As AI tools become common in AI-exposed roles, businesses are navigating the tension between observed productivity gains and employee concerns regarding job displacement. This approach allows staff to identify their own utility for automation, fostering a smoother integration of AI into established business processes.
Anthropic research studied a base of 81,000 Claude users to track productivity versus displacement anxiety. These figures reflect a broad user set compared to the specific internal scale of the Regard program.
The players
Regard
A health care AI company focused on optimizing clinical workflows through technology.
Eli Ben-Joseph
Co-founder of Regard who operates the firm as it integrates AI into health care systems.
Nate Wilson
Co-founder of Regard who leads the company alongside Eli Ben-Joseph.
The details
During a Claudeathon, employees step away from their regular duties to experiment with Claude, specifically targeting areas where their existing processes can be optimized or rethought. By removing the pressure of immediate production, Regard seeks to have workers discover AI utility themselves rather than having changes imposed by management. This mechanism targets the psychological barriers to AI adoption by giving employees agency in defining how the tools affect their daily work.
Timeline
September 30, 2026: The initiative was documented in recent reports.
Market Landscape
This program follows the pattern of workplace anxiety documented in Anthropic research on AI-exposed roles. It marks a departure from top-down software mandates, focusing instead on user-led experimentation.
Business owners should consider whether structured experimentation periods can mitigate the internal friction associated with AI adoption. Monitoring how staff identify their own process improvements can provide a clearer map for long-term automation and resource allocation.
The takeaway
The Claudeathon model shows that employee-led experimentation may ease the transition to AI in high-exposure roles. Operators should track whether encouraging staff to self-audit their tasks leads to higher engagement or if it increases the identified risk of future job displacement.
Further reading
Learn more about organizational shifts in the Remote Work section.
Source note: This article includes information reported by Inc..
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