From a single failing conversation to fleet-wide regressions: Converra traces the root cause to the exact step and ships a simulation-tested fix.
In the trace: User asks for a refund, agent treats it as a complaint
Converra finds: The step where intent classification went wrong
In the trace: Agent makes up a policy instead of citing the retrieved doc
Converra finds: The step where RAG context was ignored
In the trace: Agent repeats the same policy paragraph 3 times
Converra finds: The step where escalation logic failed
In the trace: Agent queries billing API with wrong customer ID
Converra finds: The tool call step with incorrect parameters
In the trace: User gave their order number in turn 2, agent asks again in turn 5
Converra finds: The step where prior context was dropped
In the trace: Agent approves a refund outside the eligibility window
Converra finds: The step where policy rules were misapplied
Agent refuses legitimate requests or allows policy violations
The fix
Rebalanced boundary instructions, tested against edge cases
Professional in turn 1, casual by turn 4
The fix
Consistent voice constraints, validated across conversation lengths
Agent keeps trying when it should escalate to a human
The fix
Clearer escalation triggers, tested with frustrated-user personas
JSON schema violations crash downstream integrations
The fix
Tighter output constraints, validated against schema specs
47 conversations hit the same eligibility misparse this week
Last deploy fixed billing but broke cancellations
GPT-4o update shifted tone and dropped completion rate 12%
Policy compliance, CSAT, NPS, conversion rate, deflection rate, custom evals: if you can score it, Converra diagnoses and fixes it.
Works with any AI agent: support, sales, onboarding, internal tools, or whatever you're building.
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