Will Your Customer Support AI Hold Up Under Pressure?

8-turn adversarial stress tests
before refunds, policies, and customer trust break

Catch unauthorized refunds, policy drift, and weak identity checks

Simulate angry customers, edge cases, and escalation pressure

Deployment verdicts and evidence CX, trust & safety, and compliance can act on

Your customer conversations stay yours

aodit can run on-premise or in your controlled cloud without SwissLI AG accessing production chat logs or customer data by default.

Prompts, agent responses, and evaluation artifacts stay under your governance and access controls.

Built for teams shipping AI in customer support, contact centers, and digital CX — from pilot to production.

aodit · Demo Sandbox
aodit Demo

Run an 8-turn adversarial test against your AI agent. No account required.

342 / 2000 — paste the instructions your agent follows

2026 Customer Support AI Risk Report

Independent evaluation of AI customer support agents under adversarial pressure—built for CX, trust & safety, and compliance leaders.

AODIT stress-tested leading models across refunds, policy edge cases, angry escalations, and identity-verification failures.

Where aodit fits in your AI lifecycle

PhaseRole
Before deploymentIndependent validation
After updatesTest again to ensure behavior has not degraded
OngoingProvide audit-ready evidence for risk and compliance
Post-incidentAnalyse what went wrong and why the AI behaved incorrectly

Independent behavioral testing under stress

aodit evaluates how AI agents behave under pressure, contradiction, and adversarial input.

Each evaluation uses a structured multi-turn protocol to simulate real-world failure scenarios and produce decision-ready evidence for risk, audit, and compliance functions.

Scope and boundaries

aodit currently focuses on independent behavioral evaluation of AI agents.

aodit does not:

  • Provide regulatory certification
  • Replace internal governance frameworks
  • Access training data or model weights
  • Require access to live production systems

Monitoring and real-time control capabilities may be introduced as part of future product extensions.

Built for customer-facing AI under scrutiny

Consumer-protection rules, the EU AI Act, and enterprise risk frameworks increasingly expect proof that customer-facing AI is tested—not just monitored after complaints.

Most support teams still lack independent evidence of how their agent behaves when users push for exceptions, refunds, or sensitive account changes.

aodit closes that gap with structured stress tests—without needing access to your live support queue.

Find where your support agent breaks—before customers do.

Independent evaluation in 2–3 weeks. Try the live demo now or request a full assessment.