See What Your AI Is Really Doing
This is a real Arato evaluation of a travel company’s AI assistant – see exactly what gets surfaced, and what most teams miss before deployment.
No Setup. No integration. Just Findings.
Simulation Summary & Risk Score
→ Instant risk assessment: Get a high-level, data-driven snapshot of your AI application’s overall readiness and vulnerabilities.
→ Critical severity tiers: View top findings prioritized by severity, removing any guesswork before deployment.
→ Operational metrics: Simultaneously track key performance indicators like Response Time and Response Length.
Key Insight: The Key Findings section automatically aggregates and prioritizes failures based on your unique product goals, giving your team an actionable optimization roadmap.
Detailed Behavioral Analysis
→ Automated Red Teaming: See how your AI application holds up under everything from everyday user journeys to sophisticated adversarial stress-tests.
→ Critical pillars breakdown: Evaluate performance across core dimensions including Accuracy, User Experience, and Compliance.
→ Visual radar chart: Instantly see which dimensions your AI underperforms – accuracy, tone, compliance, coherence – in a single view.
Key Insight: The color-coded score bars and radar chart instantly flag performance gaps at a single glance, ensuring full test coverage across various user profiles before and after deployment.
Ready to map your AI system’s health?
User Journeys & Sessions Analysis
→ Visual conversation evidence: Isolate specific simulated user personas to review step-by-step chat transcripts of exact system failures.
→ Timeline-mapped findings: View conversation analysis alongside live session evidence and screenshot playbacks on the right.
→ Root-cause analysis: Instantly trace why and how a specific guardrail failed without digging through server logs.
Key Insight: Arato captures the entire conversational context and user journey, providing a clear TL;DR so your team can pinpoint exactly what failed and why – without digging through logs.