Traditional AI can answer a question. But when an outage occurs, a sensor triggers an alarm, or field conditions change, operations teams need more than an answer.
They need to understand what matters, decide what should happen next, and keep work moving.
That requires intelligence grounded in the reality of utility operations: the assets in the field, active work orders, available crews, inventory, inspection history, GIS, live alerts, and the business rules that guide the work. This is the role of Operational AI.
TerraGo AI connects this operational context into one working system, helping utilities and cities turn information into clear decisions, prioritized actions, and better outcomes across the field, control room, and back office.
Four AI services. One operational system.
TerraGo Operational AI brings together four connected services, each designed to support a different part of the operational workflow.
AI Expert helps employees ask questions in everyday language and get answers grounded in cross-platform operational data. Instead of searching across systems, teams can quickly find the information they need—whether that means overdue work orders, assets due for inspection, high-risk infrastructure, or outages affecting critical customers.
AI Operator helps coordinate the work itself. It can identify priorities, sequence jobs, optimize routing, balance workloads, and adapt plans as conditions change. The goal is straightforward: help teams respond faster, complete more work, and reduce unnecessary travel and cost.
AI Assist simplifies how crews capture information in the field. Rather than spending time navigating forms, workers can use photos and a simple description of what happened. TerraGo AI combines that input with asset, location, history, workflow, and business-rule context to create complete, structured work records—and asks follow-up questions only when needed.
AI Vision turns imagery, photos, and video into trusted asset intelligence. It can identify conditions, support inspections and surveys, update asset data, and streamline the workflows that follow. By combining visual analysis with existing GIS and asset information, teams can maintain a more current and reliable view of the network.
Built around the work—not around the technology
Operational AI is not about replacing the people who understand the system best. It is about giving field crews, dispatchers, supervisors, and operations teams the context and practical guidance they need at the moment they need it.
That means less time spent searching for information, entering data, or switching between disconnected tools. It means more time focused on the work that improves reliability, keeps customers informed, and maintains the infrastructure communities depend on.
AI becomes most valuable when it helps people act with greater speed, confidence, and consistency. For utilities and cities, that starts by connecting intelligence to the work already underway.