ZANUS AI FOR ENERGY & UTILITIES — AUTOMATIONS
Describe the job in plain words — “when an outage record opens, draft the customer notice and the estimated-restoration update” — and it becomes connected blocks on a canvas, running on its own, with every run visible.
Private tenant or your own server · unlimited users · critical-infrastructure-conscious architecture

A real flow: trigger, record sources, AI compile, outputs routed — drawn from a description.
An outage record opens: the affected-area notice and the restoration update draft themselves from your approved language, queued for approval — minutes after the lights go out.
Pole and substation inspection reports arrive from the field: filed to the asset record, defects summarized and routed to engineering with photos attached.
The monthly regulatory data pull, the quarterly reliability summary: compiled by the AI on schedule, filed to Output for the compliance manager — never reconstructed at deadline.
Run states live on the flow: green success, red failure on the exact block. In a utility, a silently skipped notice becomes a regulator’s question — here, nothing fails silently and retry is one click.

Your rules: queue everything for human approval, or auto-send only the categories you designate as safe — planned-work reminders yes, restoration promises never.
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