Integrating drone alerts from AI anomaly detection to SAP work orders using FSM as the connector.

[Maria_Solé_Iquant]

Closing the Loop Between AI Anomaly Detection from drone monitoring and Work Order Planning & Execution with Field Service Management (SAP-FSM)

The ability to detect anomalies through images and videos captured by drone flights or other technological devices is becoming increasingly accessible. Once an AI model has been trained to recognize the patterns indicating an anomaly, the reliability of the alerts generated is very high. This early detection is crucial as it optimizes the use of time and resources.

However, generating an alert in a cloud platform, disconnected from the transactional system used by an organization for maintenance planning and execution, does not equate to success in this challenge. If alerts do not translate into formal notifications or work orders that precisely indicate where and what the problem is, the resolution of the issue ultimately relies on informal communication across various departments, which tipically also involve external contractors and service providers.

To address the challenge of the lack of integration between platforms generating anomaly alerts for assets and the maintenance system (such as SAP PM or S4 Asset Management), we utilized SAP-FSM (Field Service Management) as an intermediary platform. SAP-FSM stands out due to its extensibility and its capabilities for seamless communication with SAP PM or S4 Asset Management and with any other cloud platforms.

The end-to-end process operates as follows:

1. Drone flights are conducted to inspect the terrain, and the captured videos are processed within an AI platform that generates alerts for cataloged anomalies.
2. The AI platform sends each alert to the FSM, specifying the asset and the type of anomaly.
3. Within FSM, alert is processed to automatically create a work order, which is then sent to SAP ECC/S4. This work order includes detailed information about the alert and the necessary corrective actions.

This example demonstrates SAP-FSM's potential as an integrated cloud platform with SAP, highlighting its versatility and capacity for expansion. By bridging the gap between anomaly detection and maintenance operations, we pave the way for more streamlined processes and efficient problem resolution.