AI agents are taking on real work.
As conversations grow longer and workflows become more complex, failures become harder to detect—and more costly to overlook.
Most teams still learn about these problems through user complaints. Some never discover them at all.
Traditional monitoring only catches what you already know to measure. You define rules, configure alerts, and manually investigate traces.
But users will always ask for things you didn't anticipate. And agents will always fail in ways your evaluations couldn't predict:
“why can't it save my preferences?” → feature request
“it confirmed the action, but nothing changed” → bug
“it keeps making the same mistake” → frustration
“this isn't worth the effort—I'm done” → churn
That's why we built Currai.
Currai transforms real agent conversations into user stories, intent trends, violations, errors, and evidence-backed improvement proposals—surfacing problems you didn't know to look for.
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