Most coverage of AI in utility customer service stops at the chatbot. The more useful frontier is proactive communication and field support, where AI and a narrow slice of AR change the shape of the interaction rather than just automating the front door. This piece covers those two angles; for the chatbot and agent-assist basics, see the companion articles linked below.
Proactive beats reactive
The cheapest support interaction is the one that never becomes a call. Driven by events from the CIS (SAP IS-U, Oracle CC&B, or Cayenta CIS) and the outage management system, utilities push:
- Outage alerts and restoration updates before the customer calls to report or ask.
- High-bill and usage alerts that explain a spike before it becomes a billing dispute.
- Payment reminders and arrangement offers that reduce both calls and write-offs.
AI improves the targeting (who to notify, when, on which channel) and drafts the messaging, but the triggering data lives in the systems of record. Cayenta’s Silverblaze, Oracle’s digital self-service, and SAP’s IS-U self-service are the delivery surfaces.
Omnichannel self-service
Customers expect to start on the app and finish on the phone without repeating themselves. AI helps by carrying context across channels and resolving routine intents (balance, payment, outage status) in any of them, again reading from the CIS. The detail on chatbots and agent-assist is in AI and XR in utility customer service and AI in utility customer service.
Where XR actually fits
XR on the customer side is mostly experimental, with one practical exception: AR remote-expert support. A back-office specialist sees the technician’s (or sometimes the customer’s) camera view and annotates it in real time, which can resolve a meter or connection issue faster or avoid a second visit. That is a field-support function tied to the work order, not a self-service channel. The field-work detail is in SAP augmented reality for utilities.
The takeaway
Invest first in CIS-triggered proactive notification and omnichannel self-service, because they remove calls against real account data. Treat AR remote-expert support as a targeted field-support tool, and keep customer-facing XR as a pilot. The wider picture is in customer experience in utilities.