Building an AI Workforce: The Agentic Shadowing Method

AI agents become operationally useful when trust is treated as a qualification process with measurable gates. Start with tasks humans can grade consistently, run agents in shadow mode, then promote them through supervised, spot-check, exception-based, and autonomous levels as agreement data accumulates. The key move is demotion: regression sends the agent back to higher oversight before quality drift becomes a production problem.