AI agents need rules before they take action
AI agents used in can receive instructions and take real actions. Many are moving quickly, but few handle what should happen before an action runs. In many setups, the main control is only a log after the action is already done.
The EU AI Act is now active, and enterprise buyers are getting audit questions about what agents did and how those actions were controlled. This makes the idea of adding later harder to defend. Current choices include building internal approval flows, trusting the model to police itself, or avoiding for now.
The main gap is deciding who approves or blocks an agent action before it happens, and by what rule.
Key points
- Many focus more on after-the-fact logs than before-action controls.
- Enterprise buyers are starting to ask audit questions about agent actions.
- A can block or approve an action before it runs.
- Teams may use internal approval flows, model self-checks, or avoid for now.
- Adding late can raise cost and slow .