Every agentic system we build runs the same loop: act, check the result against what was supposed to happen, then decide what's next. If a send fails, a page doesn't update, or a step doesn't finish clean, the system doesn't just move on. It retries first, often after a short wait, because a lot of failures are temporary: a slow API, a rate limit, a page that hadn't loaded yet. If a retry still doesn't produce a clean result, it stops and reports the failure instead of guessing at what to do next. That's the real difference between an agent and a plain script. A script crashes or fails silently. An agent is built to notice the failure and respond to it.
How much room it gets to act alone depends on the stakes. In a marketing engine (research, writing, translation, outreach) a mistake usually costs a rewritten paragraph or an email that didn't send, low stakes and easy to catch on review. In an operations system (reporting, monitoring, lead handling, scheduling) the system itself is often the thing watching for problems, so an error tends to surface fast because a person reads the report or gets the alert. In a production app handling payments, logins, or multiple tenants, guardrails get tighter on purpose: the agent doesn't get final say over money movement or access changes, those go through checks and logs, with a point where a person confirms before anything is final.
We don't deliver a system and walk away, we operate it, so failures get noticed instead of running unnoticed for months. But no agent, ours included, catches everything a business could throw at it. Part of the first stage of any engagement is mapping what the system can and cannot own, honestly, before anything gets built. When something happens outside that map, the honest answer is that the system should stop and hand the decision to a person rather than push forward on a guess. If a system can't tell you when it's out of its depth, that's a bigger problem than any single mistake.