Support agents run at high volume, and small prompt changes can cause big regressions. Converra helps your agent improve continuously while preventing unintended consequences.
Support agents are often the first AI touchpoint customers experience. They deflect tickets, resolve issues, and shape perception of your product. When they work well, they scale support without scaling headcount.
But improving them is risky. A prompt tweak that improves one scenario can regress another—a fix for billing issues can break cancellations. Testing against a handful of examples doesn't catch edge cases. And the cost of getting it wrong—frustrated customers, escalated tickets, damaged trust—is high.
Most teams end up stuck: afraid to change what's working, unable to improve what isn't.
Converra learns persona profiles and scenario clusters from production interactions so simulations reflect real customer behavior—not curated examples. See how we handle your data →
Each prompt variant is evaluated across your scenario suite before shipping. Improvements in deflection don't come at the cost of resolution accuracy or customer satisfaction.
Nothing reaches production without passing your approval workflow. Review what changed, why it was proposed, and how it performed in simulation—then decide whether to ship.
If something unexpected happens, revert to a known-good prompt version immediately—no redeploy required. Instant rollback when you need it.
Deflection rate
Resolve issues without human escalation
Resolution accuracy
Correct answers, not just fast ones
Escalation rate
Know when to hand off to humans
Safety & compliance
Avoid harmful or off-brand responses
Converra integrates via API or SDK. No need to rewrite your agent—just connect and start improving. Most integrations take a couple of hours.
Join early access to start improving your support agent safely—without risking regressions.
Request Early Access