Find failure patterns, generate fixes, simulation-test them, ship what works. Automatically. Each cycle builds on the last.
We find the gaps between what your agents are instructed to do and what they actually do, then close them. Each cycle starts from a higher baseline. The improvements compound while you focus on building.
Teams optimize for how the agent sounds. The metric that matters - did it finish the job? - tells a different story. Observability shows you the gap. Converra closes it, and keeps closing it, cycle after cycle.
Most tools tell you something failed and leave your engineers to figure it out. Converra traces the failure to a specific agent and turn, generates targeted fixes, tests them against real scenarios, and ships proven improvements automatically.
| Observability tools | Converra | |
|---|---|---|
| Find failures | Yes | Yes |
| Diagnose root cause | Partial | Yes — to the exact agent and turn |
| Generate fixes | No | Yes — prompt, config, and model |
| Test in simulation | No | Yes — head-to-head, regression-checked |
| Deploy improvements | No | Yes — ships automatically, instant rollback |
| Compound over time | No | Yes — each cycle builds on the last |

System prompts, agent instructions, and routing logic. The single biggest source of fixable failures — and the fastest to improve when a system does the iteration for you.
Guardrail thresholds, routing rules, and parameters. Often the difference between a deflection and a resolution. Small changes, measurable impact.
Which LLM runs which task. A routing decision might need a different model than a conversation. Most teams never test this — Converra tests it for every agent.
Handoff state, context passing, orchestration mechanics — Converra traces the failure to the exact agent and turn, so your team fixes it in hours, not weeks.
Converra identifies which agent failed, at which step, why — and categorizes the root cause so you know exactly what to fix.

Every fix is validated against simulated conversations with synthetic personas before it touches production. That's how Converra ships fixes, not just flags them.
Synthetic personas built from your data. Simulated conversations that mirror production. Regression checks that protect what already works. Every improvement earns its way to production.
Every change is tested against full multi-turn conversations before it reaches a customer. Variants compete head-to-head against your baseline under identical conditions.
Learn moreTest personas are generated from your real conversation data. Each one carries the intents, behaviors, and edge cases of a real user segment. Coverage grows as new patterns emerge.
Learn moreEvery improvement is checked against the scenarios your agent already handles well. If a variant breaks something, you see the tradeoff before deployment. If anything slips through, it rolls back automatically.
Learn moreEvery fix earns its way to production — validated by simulation, regression-tested against your policies, and monitored after deployment. If anything regresses, it rolls back automatically.
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