The perfect agent, like the perfect employee, doesn't exist. The edge comes from pairing imperfect agents with the right work, and improving them every cycle.
Agentic workflows aren't 100% accurate on day one. They miss edge cases, answer the wrong question with too much confidence, and get stuck on inputs they've never seen. New hires do the same. The fix is a person in the loop who catches the gaps and feeds them back.
Each override teaches the agent something, and each approval confirms what it got right. With kaizen, small and constant improvement, your team turns a rough first draft into a workflow it can trust to run on its own, with a person still approving anything sensitive. Small businesses get ahead with AI by building agents that get better with use.