Your agents never repeat the same mistake

Name: Converra
Author: Converra

Converra finds what broke, generates a fix, and proves it works in simulation—before it reaches your users.

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Finds what broke|Diagnoses the root cause|Validates with simulation & regression testing|Ships the fix

Optimization — Claims Agent

Regression detected

CriticalPrompt Issue

Agent commits to payout before checking coverage — walks it back when exclusion foundTurn 3

0:00

3 candidate fixes generated

− Evaluate the claim and provide a resolution

+ Verify coverage eligibility before committing

to any resolution. If unclear, escalate.

0:14

Variants tested head-to-head

36 simulations · 84 regression tests · zero regressions

Variant B wins · +29% claims accuracy

4:08

Variant B deployedRollback ready

4:22

Claims accuracy

38%→85%

Works withLangSmith·Langfuse·OpenTelemetryView integrations →

From traces to deployed fix

No other platform connects these steps. Connect your traces — Converra discovers your architecture, diagnoses failures, and ships tested fixes.

1Discover

2Diagnose

3Fix

1Discover

Your multi-agent system, mapped from traces

Connect your traces. Converra auto-discovers your agents — router, specialists, the full architecture. Every agent scored, every weak point surfaced.

Systems view showing auto-discovered multi-agent architecture with per-agent scores and failure categorization

2Diagnose

Root cause traced to the exact agent and turn

Not just 'this conversation scored low.' Converra identifies which agent failed, at which turn, why — and categorizes the root cause so you know exactly what to fix.

Step-level diagnosis with turn-by-turn conversation analysis, metric badges, and root cause summary

3Fix

Proven in simulation before it ships

Converra generates prompt variants, runs them through simulated conversations, regression-tests against golden scenarios — and surfaces a winner with a diff you review before deploying.

Optimization detail showing timeline of variant generation, head-to-head testing, and winner selection with prompt diff

Where observability stops, Converra starts

Observability shows you what happened. Converra improves your agents.

Observability

Traces

Dashboards

Manual investigation

Manual fix

Hope

Converra

Traces

Root cause

Fix

Simulation

Validation

Deploy

Monitor

Your observabilitytracesConverratested promptsYour agentsnew traces

Fully async. Zero latency added to your production stack.

Continuous improvement

One agent, three cycles, 2x resolution rate

Each cycle finds a different problem and builds on the last. Escalation logic, troubleshooting flow, edge cases — fixed in sequence, compounding automatically.

Premature escalation in 34% of conversations

Escalation

Escalation logic fixed

Agent escalated to human too early — resolved cases it could have handled itself

Resolution rate41%58%

Cycle 1 · 7:48

Generic troubleshooting in 28% of conversations

Flow

Troubleshooting flow improved

Agent asked generic questions instead of probing known failure modes first

Resolution rate58%72%

Cycle 2 · 8:12

Multi-product return failures in 19% of cases

Edge case

Edge case handling added

Agent failed on multi-product returns — now routes to specialist path

Resolution rate72%84%

Cycle 3 · 7:55