Field and work-order automation
AI and workflow automation can triage reports, raise and route work orders, attach context and handle exceptions between field and back office.
Utilities, Oil & Gas
Connect field information to controlled operational workflows
ETT helps utilities and energy operators reduce the manual coordination behind work-order preparation, inspection-document handling and outage communication. This is back-office and field coordination. Safety-critical authorisation and control of operational equipment remain with your own systems and people.
Where we start
The workflows we lead with in this sector
Proposed use cases based on how this work is usually organized. None of these is a published client result.
Work-order preparation
Assembling the job pack — asset history, permits, site access, required documents — so a crew is not held up waiting for paperwork.
Inspection-document handling
Reading returned inspection and maintenance paperwork, extracting the fields the asset record needs, and flagging incomplete or unreadable returns rather than filing them.
Outage communication
Keeping customer and stakeholder communication consistent with what the operational systems actually say during an incident.
How it would be measured
Measures to agree before anything is built
A baseline taken after the fact is not a baseline. These are the measures we would ask you to agree, and what each one means, so the before-and-after comparison holds up.
| Measure | What it means |
|---|---|
| Routing time | From a field return or request arriving to it reaching the responsible owner. |
| Incomplete records | Returns missing a required field, measured at the point of submission rather than discovered at audit. |
| Evidence preparation | Effort to assemble a compliance or safety evidence pack. |
| Handover quality | Whether a shift or crew handover contained what the receiving team needed, sampled and reviewed. |
Who this is for
Head of Field Operations or Asset Management, with the control-room lead and the safety and compliance owner.
What has to be true first
- Read access to asset management, work management and document systems
- A written boundary between back-office coordination and anything that authorises physical work
- Safety and compliance sign-off on what the workflow may and may not do
The challenge
What teams in this sector face
Utilities, energy and oil & gas teams operate in asset-heavy, safety-critical and heavily regulated environments.
Work spans field operations, maintenance and inspections, control rooms, billing and customer contact, regulatory reporting and large volumes of operational and sensor data across distributed sites.
When that work depends on manual handovers, disconnected systems or paperwork moving between the field and the back office, response slows, compliance becomes harder to evidence and avoidable risk creeps in.
ETT helps these organizations identify where AI and automation can reduce friction and improve visibility, while keeping safety, control and auditability at the center.
Where AI can support
Practical use cases
Document and permit handling
AI can extract, classify and route information from inspections, permits, forms, asset records and supplier documents.
Outage and billing query handling
Conversational AI can support common outage, connection, meter and billing queries, then route the rest with the right context.
Compliance reporting automation
Automation can help assemble regulatory and safety reports, manage evidence and keep an auditable trail across cycles.
Operational insight
Data and analytics can surface asset performance, demand patterns, recurring faults and where automation could reduce risk or cost.
Example workflow
Example workflow: from field report to resolved work order
One request, end to end. Each stage shows what happens and the ETT solution behind it, with people kept in control wherever judgement is needed.
Illustrative workflow. The actions, integrations and controls are defined for each deployment. This is not a customer result.
- 01Field reportConversational AI and Voice Automation
- 02Data retrievedData and Analytics for AI
- 03Prioritization proposedAgentic AI and Automation
- 04Work order raisedAgentic AI and Automation
- 05Engineer dispatchedvCISO for AI
- 06Compliance recordvCISO for AI
Each stage in detail below, with the systems involved and where a person stays in control.
Field report
An engineer, sensor or customer reports a fault, outage or asset issue from the field. Signals from people and machines enter the same workflow.
Typical technologiesPolyAISCADA / IoTMobile field app
How ETT helpsConversational AI and Voice AutomationData retrieved
Asset history, location, SCADA and customer data are pulled together into one view. The full picture forms before anyone is dispatched.
Typical technologiesSCADA / GISDatabricksAsset management
How ETT helpsData and Analytics for AIPrioritization proposed
The report is classified against your own published criteria and a suggested priority is attached. The classification is a proposal for the control room, not a safety decision — authorisation stays with the person who holds it.
Typical technologiesOpenAIYour risk criteriaControl-room review
How ETT helpsAgentic AI and AutomationWork order raised
A work order is raised and populated automatically, with the right permits and context attached. The paperwork is done before the engineer reads it.
Typical technologiesUiPathEAM / work-order system
How ETT helpsAgentic AI and AutomationEngineer dispatched
The right engineer is routed to site with everything they need, and high-risk steps stay under human control. Automation supports the crew; it never overrides safety.
Typical technologiesScheduling & dispatchHuman-in-the-loop
How ETT helpsvCISO for AICompliance record
A complete, auditable record is written for safety and regulatory reporting, ready when it is needed. Compliance becomes a by-product of the work, not extra work.
Typical technologiesCaveloAudit logRegulatory reporting
How ETT helpsvCISO for AIWhen it cannot complete
A permit or document is missing, an asset record does not match, or the request touches anything requiring safety authorisation. The workflow halts and hands to the accountable person. It never issues, approves or bypasses an authorisation.
Where to start
Back-office coordination first, with the safety boundary written down
The first engagement covers work-order preparation and document handling only. Authorisation of physical work, permit-to-work approval and control of operational equipment stay with your existing systems and your accountable people, and the design says so explicitly.
The solutions involved
- Agentic AI and AutomationFor automating field, asset and back-office workflows, routing work orders and handling exceptions across operational systems.
- Conversational AI and Voice AutomationFor handling high-volume outage, connection, meter and billing queries, with clear escalation for complex cases.
- Data and Analytics for AIFor turning sensor, asset, SCADA and customer data into connected, trusted operational insight.
- vCISO for AIFor governance, safety, OT/data security and regulatory oversight around AI in critical infrastructure.
- Data Discovery and Classification for AIFor locating, classifying and preparing sensitive operational and regulated data before it is used in AI workflows.
Analect: fewer tokens, less storage, proven on your documents.
ExploreFAQs
Common questions
How can AI automation support utilities, energy and oil & gas operations?
It can support field and asset workflows, work-order routing, permit and document handling, outage and billing queries, and compliance reporting, while keeping people in control of safety-critical decisions.
Can AI be used safely in critical infrastructure and regulated environments?
Yes, with the right controls. AI systems should be designed with governance, data and OT security, auditability, permissions and human oversight, especially where safety and regulation apply.
How can AI help with compliance and safety reporting?
AI can help assemble recurring regulatory and safety reports, gather and organize evidence, manage review steps and maintain an auditable trail. It supports compliance teams rather than replacing accountability.
Can AI reduce pressure on utilities customer service teams?
Conversational AI can handle common outage, connection, meter and billing queries and route the rest with context, helping teams cope with spikes during incidents without adding headcount.
Does this require connecting to existing operational systems?
Usually yes. The value comes from connecting AI to asset management, SCADA, GIS, CRM, billing and field service systems so information and actions flow across the operation.
Ready to bring AI automation to critical operations?
Request an AI session to explore where AI could support field and asset workflows, customer queries and compliance reporting across your utilities, energy or oil & gas operation.
Around four minutes. Indicative guidance based on your answers.