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AI Operations

Live SPC Dashboard for AI Agents

A real-time SPC dashboard monitoring and controlling autonomous AI agents — bringing statistical process control to AI operations.

GrafanaSPCPrometheusAI Ops
AI Operations illustration

The challenge

Autonomous agents were running in production but operations had no statistical control over them — drift was invisible until it became an incident.

Our approach

How we structured the work, end to end.

01
Defined the metrics that actually characterise agent behaviour — throughput, error patterns, latency.
02
Streamed telemetry into Prometheus with a metrics pipeline built for SPC.
03
Built SPC charts in Grafana with proper control limits per metric.
04
Wired alerting and control actions so the system responds before the metric becomes the incident.

The architecture

From source to insight, in one governed flow.

01
Agent Telemetry
02
Metrics Pipeline
03
Grafana SPC
04
Alerts & Control

Outcome

What changed
Agent operations now run under statistical process control. Drift surfaces early as a signal, not a postmortem.

Related work

Other engagements with a similar shape.

Process × Intelligence

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