[ R-02 — RESEARCH ]
The Agentic Operations Stack
A reference architecture for AI agents that monitor, predict, and act in industrial operations — and the guardrails that make them deployable
An upcoming technical report defining what an agentic operations platform actually requires: the data fabric, the action mandate, the human-approval model, and the audit trail. It separates the deployable pattern from the demo pattern.
What the report examines
- Defines a reference architecture for operations agents, from telemetry ingestion and unified asset context through reasoning, recommendation, and bounded autonomous action.
- Examines which action classes graduate safely from recommend-only to autonomous execution, and the track-record evidence that should gate each transition.
- Analyzes why agentic capability depends on a unified data model — and why stitched sensor-platform-CMMS architectures struggle to support closed-loop action.
- Investigates failure modes observed in early agent deployments: alert precision decay, automation complacency, and data-quality debt surfacing as confident errors.
- Proposes an audit and accountability standard for agent actions, designed to satisfy both operational leadership and compliance review.