Your agent is live right now. Is anyone watching it?
Real-User Monitoring keeps a rotating panel of real people, matched to your actual customer base, checking your live agent around the clock, so drift, sentiment shifts, and edge-case failures surface before they become a support ticket.
Model drift doesn't announce itself. Monitoring is the only way you'd know.
Toggle the switch below to see how the same agent's reliability trends over a month, with and without continuous real-user monitoring in place.
Five signals, checked continuously by real people
Click a signal to see how Oprimes' rotating crowd panel catches it, and why an automated-only check tends to miss it.
Drift Detection
Model behavior changes gradually as inputs shift, an upstream API updates, or usage patterns evolve. Oprimes' panel runs the same reference tasks against your live agent on a rolling basis, catching a slow slide in accuracy long before it shows up in a quarterly review.
What continuous monitoring actually looks like, day to day
A representative week from a live monitoring engagement on a financial services agent.
Sentiment dip detected, Brazil region
A rotating tester panel flagged an unusually high rate of frustrated responses to a fee-explanation flow, three days before the pattern would have shown up in support ticket volume.
DetectedRoot cause identified and routed
A recent copy change had introduced ambiguous fee language. Finding routed to the product team with the exact flagged transcript attached.
ResolvedDrift flagged in loan-assistant agent
Reference task accuracy dropped 6 points overnight following an upstream model update. Flagged automatically, confirmed by a human reviewer within 11 minutes.
DetectedRollback confirmed, reliability restored
Engineering rolled back the upstream change. Monitoring confirmed reliability scores returned to baseline within the hour.
ResolvedEdge case surfaced: self-employed applicant flow
A tester filing as self-employed hit a documentation loop the agent couldn't resolve. Logged as a recurring pattern, not a one-off, and escalated as high priority.
DetectedChecks running across every market your agent actually serves
Coverage intensity by region, based on live monitoring volume.
Questions about Real-User Monitoring
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Let the right humans validate it.
Book a 30-minute consultation with an Oprimes AI Trust Specialist. We will map your use case, recommend the right service pillar, and give you a delivery timeline before you commit to anything.
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