PRODUCT CAPABILITY

AI Alerts and AutoJudge for Production Quality

Detect regressions, cost spikes, policy failures, safety issues, and workflow anomalies before users feel them.

Slack and email routingPagerDuty and webhooksOpenAI and Anthropic eval signalsCustom business rules

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Alert Center

Checkout latency SLAp95 > 2.5s for 15 min · → PagerDutyFiring

ChatKit refusal spike+38% vs 7-day baseline · → #ai-opsTriage

AutoJudge: relevance dropscore 0.79 < 0.85 gate · post-deployInvestigate

Safety policy checksnightly eval suite · all passingHealthy

Pain

What breaks without it

Static thresholds miss AI drift. A release can pass infrastructure checks while relevance, safety, latency, or business value quietly declines.

AnoSys Answer

AnoSys combines anomaly detection, continuous evals, AutoJudge scoring, and context-aware alert routing so teams respond to the failures that matter.

How It Works

Turn eval results, anomaly signals, policy checks, and operating thresholds into alerts that carry evidence instead of noise.

Set quality, safety, latency, cost, policy, and business KPI expectations by workflow.

Score production behavior with AutoJudge, evals, anomaly detection, and custom criteria.

Attach severity, affected workflows, owners, and customer impact before an alert fires.

Route the issue to the owning team with traces, eval evidence, and recommended next steps.

Key Capabilities

Alert on eval failures, anomaly signals, cost spikes, SLA breaches, and policy drift
Use AutoJudge to score quality, safety, relevance, and business-rule outcomes
Group noisy signals into incidents with ownership and supporting evidence
Route incidents to Slack, email, PagerDuty, webhooks, or internal workflows

Relevant Docs

AutoJudge is AnoSys evaluation support for judging production behavior against quality, safety, policy, and business criteria.

Yes. Alerts can combine technical signals with business KPIs, user journeys, cost, and workflow context.

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