Why Agenthub / Trust, rebuilt
“We had an AI mishap.”
Something went out that shouldn't have. Now every AI proposal meets a frozen room. Reasonable — and fixable. Trust isn't rebuilt with promises; it's rebuilt with mechanics.
The situation.
The scary part of a mishap isn't the mistake itself — it's discovering you had no way to see it coming, no way to stop it mid-flight, and no clean way to undo it. Those are three missing mechanisms, not a verdict on AI.
Agenthub ships all three, plus the paper trail:
What changes with Agenthub.
Nothing goes live on faith
Every change is simulated against real work first. You watch what the agent would have done — including the thing you're afraid of — before it can do anything.
A second pair of eyes on every run
AI supervisors observe agents while they work and stop them to ask permission when something looks off. The pause is the product working, and you'll see it happen.
The risky edges get a human gate
External messages, spending, record changes — you decide what needs a named human's yes, and the agent waits until it has one.
Everything is reversible
Both the agent's work and the changes people make to agents are versioned. The unintended change rolls back in one click — a moment, not an incident review.
The postmortem writes itself
“Who did this?” has an answer — which agents acted, which people configured them, what changed and when. Accountability you can show, not assert.
The next mishap is the one you watch not happen.
Come with the incident you're still explaining. We'll show you, step by step, where Agenthub would have caught it.