L5 · Monitoring & Audit
Observability
Performance tracking, KPI dashboards, audit logs. Every call traceable, every output auditable — instant answers to "which role, which process is the AI in."
How it works
Get started with Observability in 6 steps.
Define KPIs
Per Emploid: success rate, SLA, cost
Collect traces
Trigger → AI call → output chain
Score
Output quality, user feedback
Audit log
All decisions and data access
Anomalies
Error rate, latency, drift alerts
Improve
Version comparison, A/B
Capabilities
Three core jobs, one surface.
Real-time KPI dashboards
For every Emploid: call count, success rate, average latency, cost (token + infra). Per-process SLA tracking and trend charts.
- Per-Emploid dashboard
- Success rate / latency / cost
- SLA + alert rules
Başarı
98.4%
+0.6
Latency
412ms
-38
Maliyet
$0.012
-12%
Çağrı/gün
1.840
+128
Audit logs & audit trail
Every behavior of a running agent is recorded — which prompt, which data, which LLM response, which output. Ready for auditors.
- Hash-signed log (sha256:)
- End-to-end via Trace ID
- KVKK / SOC 2 ready
Anomaly detection & drift alerts
Alerts when output consistency degrades over time. Recurring errors, latency spikes, model drift — your team is pinged before you notice.
- Output consistency monitor
- Latency / error spike alarms
- Model performance drift
Latency spike — Sözleşme Uzmanı
p95 latency: 412ms → 1.8s (4.4× üstü baseline)
Output drift — Sözleşme Uzmanı
Bütçe önerisi tutarlılığı %92 → %78 (son 100 çağrı)
Auto-resolved — ISO 9001
Geçici LLM provider hatası giderildi
Technical capabilities
Technology powering Observability
Integrations
Related
Continue across the platform.
Bring this capability to your processes.
A working prototype in 2 weeks — let's measure and decide together.