Deeper Dive: Supervision Engineering - The Missing Discipline in Agentic AI?

The goal is not to replace human oversight. The goal is to make human oversight more focused, effective, efficient, and integrated.

As agentic AI systems become more capable, organizations are beginning to ask a difficult question: who is watching the digital workers?

Most conversations about agentic AI focus on the agents themselves. We ask what models they use, what tools they can access, what workflows they automate, and how much productivity they create. But as agents begin taking actions across complex systems, another issue becomes just as important: how should humans supervise them without becoming overwhelmed, disengaged, or reduced to rubber-stamp reviewers?

This is the emerging problem of supervision engineering. In this post, we explain supervision engineering and provide some examples.