The person with the problem is now the person who builds the tool
Blog post from WorkOS
WorkOS’s Applied AI team describes a shift from centrally building internal tools to enabling employees closest to operational problems to create and deploy their own applications and agents. At an AI showcase and a company-wide Claude Day, technical and non-technical employees collaborated on tools addressing firsthand needs, producing 39 production apps in one day and emphasizing rapid feedback from authors who are also frequent users. To support this model, the team built the wow CLI, which standardizes setup, authentication, hosting, secrets, databases, and deployment so employees can launch apps without navigating infrastructure decisions or approval queues, while Atlas provides a platform for creating scoped AI agents with defined instructions, integrations, memory, and permissions. The approach moves platform teams toward providing shared foundations and moves governance toward managing credentials, access scopes, auditability, and organizational visibility rather than relying solely on code review. Although the model can create duplicate tools, isolated automation, and maintenance risks, WorkOS expects successful projects to be promoted and maintained more broadly, with the intended cultural outcome that employees respond to inefficient processes by building solutions themselves.
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