Outage and incident triage
Fault reports assembled with asset history, affected customers, crew availability and regulatory notification requirements — before a coordinator picks up the phone.
AI agents for oil, gas and utilities
Straight answer: an operational agent is not a chatbot. The distinction that matters is whether it can reach SCADA, ERP and maintenance records. Integration depth is the line between a pilot and a system that runs the asset.
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The market’s honest state
Plenty of vendors sell customer-service bots under the label of operational AI. The partners worth shortlisting build systems that reason over production data and trigger governed actions across ERP, MES and historian systems.
We build in the administrative and coordination layer above those systems. We do not touch process control, and we’d treat any vendor claiming autonomous closed-loop control on safety-rated systems with considerable scepticism.
Workflows we automate
Field crew dispatch
Crew assignment against certification, location, equipment and permit status, re-optimised as the day changes.
Asset health to work order
Condition signals and technician observations become correctly-coded work orders with evidence attached, deduplicated against what’s already open.
Regulatory reporting
Evidence captured at the point of work, obligations tracked continuously, reporting assembled rather than reconstructed.
Inspection records
Voice and photo capture from the field, structured, timestamped, linked to the asset.
Traditional vs agent-augmented
| Today | With an agent | |
|---|---|---|
| Fault report | Partial, phoned in | Structured, with context assembled |
| Crew assignment | Manual against a whiteboard | Optimised against hard constraints |
| Work order coding | Inconsistent | Consistent, evidenced |
| Regulatory evidence | Reconstructed at reporting time | Captured as work happens |
| Distributed site visibility | Patchy | Continuous |
What we integrate with
- CMMS/EAM: SAP PM, IBM Maximo, Pronto, Fiix
- Historian: read-only integration with PI, Aveva and OEM condition platforms
- ERP: SAP, Dynamics, Oracle
- GIS and outage management: major OMS and GIS platforms with API access
- Field capture: offline-tolerant mobile and voice
How we de-risk it
- Read-only from historians and control systems. Always.
- Safety-critical decisions escalate, without exception.
- Shadow mode against live operations before authority is granted.
- Connectivity tolerance for distributed and remote assets.
- Your cloud, your data residency, including on-premise where regulation requires.
Related use cases
The same workflows, described by the job rather than the sector.
Frequently asked questions
Will this touch SCADA?
Read-only, where useful, and never writes. Process control is out of scope.
Can it work across distributed assets with poor connectivity?
Yes. Queue-and-reconcile is a design requirement.
What about regulatory acceptance?
The agent improves evidence quality and provenance. A qualified person still attests. That separation is built in deliberately.
How does this differ from the analytics platform we already have?
Analytics tells you something. An agent does something about it — raising the work order, notifying the crew, assembling the report.
Not sure this is your operation
Every sector page describes the workflows we’d expect to find. Yours will differ in ways that matter, and the audit is designed for exactly that — you get evidence about your own business rather than someone else’s.