Industrial Operations Copilot & Alarm Triage Agent
A read-first AI agent pattern that turns SCADA alarms and historian data into diagnosed, prioritised work orders for operations and maintenance teams.
Design targets, not measured client results.
The Problem
Why teams need this pattern
Operators face alarm floods, and the context needed to diagnose a fault is spread across SCADA screens, historians, manuals, and maintenance logs. Shift handovers lose information and repeat faults are rediscovered.
Ideal for
- Plants with alarm floods and tribal-knowledge maintenance
- Teams with a SCADA historian and a CMMS already in place
Our Approach
Architectural approach
An agent with read-only access to SCADA, historian, and CMMS data that groups related alarms, pulls recent trends and similar past incidents, cites the relevant manual sections, and proposes a work order for a technician to approve. Write access to any control system is out of scope by design.
System Design
Architectural layers & components
How data and control flow from the edge of the system to the people who use it.
- 01
Data Access
Read-only connectors to Ignition SCADA, historians, and the CMMS.
- 02
Knowledge Layer
RAG over manuals, SOPs, and past incident reports, with source citations.
- 03
Agent & Reasoning
LLM agent that correlates alarms, trends, and history into a diagnosis.
- 04
Work Orders & Handover
Proposed CMMS work orders and shift summaries, approved by a person.
Design Targets
What this architecture is built to achieve
Targets we design toward. We confirm them against your own data and workload before you commit to a build.
- Diagnosis quality depends on the history and documentation available; we validate on past incidents before go-live.
- The agent advises; it does not control equipment, and safety functions stay with certified systems.
What You Get
Artifacts tailored to your environment
The blueprint is a starting point. These are the working documents and code we adapt for you.
Learn about our AI Agents services- Data access and security design
- Alarm grouping logic
- Evaluation set from historical incidents
- Work-order and handover templates
How We Work
From first call to working prototype
- 130–45 min
Discovery call
We review your constraints, existing systems, and success criteria, and tell you honestly whether this blueprint fits.
- 21–2 weeks
Fit & feasibility workshop
We adapt the reference architecture to your stack, validate the design targets against your real data, and produce a scoped plan.
- 3Scoped per project
Prototype, then build
We ship a working slice first so you can judge the approach before committing to a full build.
Technology Stack
Default tools & infrastructure
We swap components to fit your stack.
- Ignition SCADA
- OPC-UA
- InfluxDB / Historian
- Claude / OpenAI
- RAG (pgvector)
- Python
FAQ
Common questions
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Want an architecture like this?
Book a call and we'll tell you honestly whether this blueprint fits, and how we'd adapt it to your stack and constraints.