Monitoring
Production systems need observation.
Logging, drift detection, quality monitoring and alerting that keep intelligent systems honest over time.
Engaged through
- Custom systems engineeringfrom $15k
- Productized systems$5k–$40k+
- Arvanord Ops coveragemonthly
Approach
Models change. Inputs drift. Business rules evolve. Monitoring keeps a production AI system observable: what it did, why, how often it needed correction, and where quality is decaying.
Monitoring feeds both engineering and management: the system's health is documented, not assumed.
What this includes
- Action and decision logging
- Output quality sampling
- Drift and anomaly detection
- Alerting and escalation
- Operational reporting
Related capabilities
Often engineered together.
Systems are rarely one discipline. These capabilities most often share an architecture with monitoring.
Next step
Engineer monitoring into your operations.
Every system starts with the same first step: understanding the work.