Energy operations
AI agents for energy operations
What they do after an alarm, how they differ from a monitoring platform, and what to check before giving one access.
01In short
What is an AI agent for energy operations?
An AI agent for energy operations is software that does a piece of operational work, such as triaging an alarm, bringing in the right technician or preparing a fleet report, inside the systems an energy company already uses and under rules the company sets. A monitoring platform collects plant data and raises alarms; an agent takes on the work that follows. Invertix builds and deploys these agents for operations and maintenance (O&M) and asset management teams.
Invertix works with Altenia, Terna and TotalEnergies On. The energy companies we work with manage more than 50 GW in total: their combined portfolio, not capacity operated by Invertix.
Last updated
| Step | Monitoring platform | Invertix agent |
|---|---|---|
| Collect plant data | Connects to inverters, meters and sensors, and stores the readings. This is its core job. | Reads the data the monitoring portal already holds, the way an operator does. It does not replace the connection to the plant. |
| Raise an alarm | Raises alarms from the rules and thresholds set in the platform. | Picks up each alarm as it comes in. |
| Triage the alarm | Shows the alarm and the readings behind it. | Finds the cause and raises the alarms that need a person, each with the evidence: the fault, the reading and the energy at stake. |
| Bring in a technician | Some platforms include field-service tools for work orders and scheduling. | Can propose the nearest free qualified technician in Microsoft Teams and, once a person approves, book the visit and open the work order with the evidence. |
| Check the fix | Shows the plant’s readings after the repair. | Checks the plant in the portal before the work order closes. |
| Report | Dashboards and performance reports. | Prepares the monthly fleet report. Your team decides whether a person verifies it before it goes out. |
| Change plant settings | Plant control systems, such as SCADA and power plant controllers, carry out the change. | Never without your approval, whatever the workflow’s setting. |
02Platforms
How is an AI agent different from a monitoring or asset performance platform?
A platform collects plant data, raises alarms and keeps the record. An agent does the work that follows.
Monitoring and asset performance platforms are the system of record for a fleet. Some examples, as their makers describe them:
- Power Factors Unity. A renewable energy management suite for monitoring and control, technical asset management and commercial asset management (Power Factors, Unity page, as of October 2026).
- GreenPowerMonitor. Monitoring, control and asset management solutions for renewable assets, from a DNV company (GreenPowerMonitor website, as of October 2026).
- meteocontrol VCOM Cloud. Monitoring, technical operations management and data hosting for individual systems or complete portfolios (meteocontrol website, as of October 2026).
- 3E SynaptiQ. A software-as-a-service platform to develop, monitor and optimise asset performance (3E website, as of October 2026).
Invertix does not replace any of them, and naming them here does not mean Invertix connects to them. Invertix agents work in the systems an operator already runs, such as monitoring portals like FusionSolar, Microsoft Teams and the work-order system, and do the work that follows an alarm: triage it, bring in the right technician, check the fix and write the report. Our engineers connect each system with the company’s team as part of the deployment.
Each workflow is set by the company to run on its own or to wait for a person’s approval, and anything that writes to plant control needs approval.
03Platform AI
Are monitoring platforms adding their own AI agents?
Some are. Which kind you need depends on how many systems the work runs across.
Power Factors launched Unity REMI on 29 April 2026 and describes it as bringing “agentic optimization” to renewable energy portfolios. At launch it was available to Unity APM users, with commercial asset management, SCADA and EMS to follow (Power Factors press release, as of October 2026).
Univers says the AI agents on its platform carry out decisions in real time, within limits a customer’s teams set (Univers website, as of October 2026).
When a company runs one platform across its whole fleet, AI inside that platform may be what it needs. When the work crosses several systems, such as two or three monitoring portals, Microsoft Teams and a work-order system, agents that work in those systems do a different job. That is the job Invertix does.
04Buyer’s checks
What should a buyer check before giving an AI agent access?
Eight questions to ask any vendor of AI agents for energy operations, with Invertix’s answers.
Which AI models see the data?
Ask for the complete list, and whether the AI labs may train on what they receive.
Invertix: models from OpenAI, Anthropic and Mistral, always through our harness. The labs’ terms forbid training on your data.
What does a model actually see?
Site names and people’s names are the most sensitive part of an alarm or a work order.
Invertix: the data you approved for that model, with site names and people’s names replaced by placeholders.
Is each company’s data kept apart?
Agents that serve several companies need a hard wall between them.
Invertix: each company’s agents and data are isolated, and agents run in VM sandboxes.
Which actions need a person’s approval?
The answer should be set per workflow, and plant controls should never be left to an agent alone.
Invertix: you decide per workflow, fully autonomous or a person verifies each action. Plant controls never change without your approval.
Can your team see what the agents did, and who can do what?
A log of every action, and access tied to your own sign-in and roles.
Invertix: every agent action is logged and visible to your team. Sign-in works with your SSO, and roles and permissions decide who sees and does what.
Who holds the logins to your systems?
Agents need access to portals; the logins should be out of reach of the models and the vendor’s staff.
Invertix: portal logins sit in an encrypted secrets vault that neither the models nor Invertix staff can see.
Where is the data hosted, and what happens to it at the end?
Ask for the hosting region, encryption, and how data is deleted.
Invertix: on EU cloud by default, encrypted in transit and at rest. We delete your data on request, and Invertix is GDPR compliant.
Who deploys and runs the agents?
Agents follow how your people work when someone maps that work first.
Invertix: our own forward-deployed engineers, working inside your operations team, one recurring job at a time.
05Invertix
Where does Invertix fit?
Invertix builds and deploys AI agents for the O&M and asset management teams of energy companies.
We start with three agents, and our forward-deployed engineers build more with each company, job by job. Invertix is based in Munich and backed by Y Combinator.
Monitoring agent
Reads monitoring portals such as FusionSolar, triages every alarm and raises the ones that need a person, with the cause and the evidence. After the repair, it checks the plant before the work order closes.
AI agents for solar monitoring →Dispatch agent
Can propose the nearest free qualified technician in Microsoft Teams and, once your team approves, book the visit and open the work order with the evidence.
AI agents for solar O&M →Asset management agent
Tracks every asset against its P50 budget, logs each fault against the asset’s warranty with the evidence attached, and prepares the monthly fleet report.
AI agents for solar asset management →
WO-2291Plant 1INV-04Fix verified
Monitoring agentInsulation fault found on INV-04.
Dispatch agentMarco Rossi booked. Giulia Conti approved.
Marco Rossi, technicianDamaged DC cable replaced on site.
Monitoring agentFix checked in FusionSolar. Work order closed.
06Sources
Sources
Written by Invertix. We describe other companies from their public material and link to it.
We checked every source on this list on 2 October 2026.
- Power Factors, Unity Suite pageWhat Unity covers, and where REMI is active.
- Power Factors, press release on the launch of Unity REMI, 29 April 2026The launch date, and where REMI was available at launch.
- GreenPowerMonitor websiteHow GreenPowerMonitor describes its products, and its owner.
- meteocontrol websiteHow meteocontrol describes VCOM Cloud.
- 3E websiteHow 3E describes SynaptiQ.
- Univers websiteHow Univers describes the AI agents on its platform.
07Questions
Questions about AI agents for energy operations.
Are AI agents safe to connect to plant systems?
That depends on the controls around them. With Invertix, plant controls never change without your approval, agents run in VM sandboxes, the models never see your logins, and every agent action is logged.
Do AI agents replace O&M staff?
No. Agents do the work. Your team makes the calls: you decide per workflow what an agent does on its own and what a person verifies.
Do we have to replace our monitoring platform or SCADA?
No. Invertix agents work inside the systems you already use: monitoring portals such as FusionSolar, Microsoft Teams and your work-order system.
Can an agent change a setpoint?
Not without your approval. Whatever a workflow’s setting, Invertix agents write to plant controls with your approval and never without it.
Which AI models do the agents use?
Models from OpenAI, Anthropic and Mistral, always through the Invertix harness. Site names and people’s names are replaced by placeholders before any model sees a request.
Who deploys the agents?
Invertix’s own forward-deployed engineers, working inside your operations team, one recurring job at a time.
How is Invertix different from Power Factors?
Power Factors makes Unity, a renewable energy management suite with its own AI engine, Unity REMI (Power Factors, Unity page, as of October 2026). Invertix builds agents that work in the systems a company already uses. Read how Invertix and Power Factors differ.
Bring us one recent alarm.
Our engineers will walk you through how an agent would handle it, step by step, with your team in control.
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