Evidence
Customer Evidence
Enterprise AI teams need more than impressive demos. They need evidence that their systems are reliable in real workflows. FailureModes.ai helps teams identify recurring failure patterns, understand severity, and convert those findings into evals, monitors, and mitigations.
In scope
What teams find with FailureModes.ai
Pre-launch failure modes
Failure modes discovered before production launch.
Model regressions
Model regressions detected during upgrade testing.
Agent tool-use failures
Agent tool-use failures caught in traces.
Prompt-injection risks
Prompt-injection risks found during red teaming.
Retrieval failures
Retrieval failures linked to stale or irrelevant sources.
Monitoring coverage
Monitoring coverage added for high-risk workflows.
Where FailureModes.ai fits
FailureModes.ai turns these findings into a durable program: a taxonomy, an eval suite, runtime monitors, and mitigations that compound over time rather than being rebuilt for every incident.
Related