Services → AI and Automation
AI and Automation
Intelligent decision-making in your operations: predictive maintenance, adaptive control and automated workflows.
What is AI and Automation?
Useful automation usually starts with clear rules and good data, and adds machine learning only where the data justifies it. e.FM builds automations in stages: threshold and schedule rules first, then anomaly detection and predictive maintenance once enough history exists. Models can run in the cloud, or on the device when decisions must be fast or work offline.
Who it is for
Operations teams with recurring manual tasks, equipment that needs condition monitoring, and sites where decisions cannot wait for the cloud.
How we work
- Define the decision. We agree which decision should be automated and what a wrong decision costs.
- Collect data. We instrument the equipment and gather enough readings to understand normal behaviour.
- Rules, then models. We deploy rules first, then add anomaly detection or prediction where the data supports it.
- Monitor results. We review alerts and false positives and refine the logic.
What you get
- Automation rules and workflows
- Anomaly or prediction logic where suitable
- Alerting via push, email or webhook
- Review of results after launch
Related
Frequently Asked Questions
Do I need a lot of data to start?
No. Rule-based automation works from day one. Predictive models need history, so we collect data first and add them later.
Can decisions run without the cloud?
Yes, on devices with enough processing power, such as FactoryEdge. Simple rules can also run on ESP32 controllers.