AI for Utilities

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2025 AI FOR UTILITIES Handbook

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AI that redefines how Utilities operate

50x

Faster asset report generation

18%

Longer asset lifecycles

1,200

Annual hours saved scoring

An asset card showing a bar of health for the asset

An asset card showing a bar of the health of the asset

A line chart with two lines, one for the health of the utility asset, the other for the risk of the utility asset. Both lines trending sideways.

A map depicting a specific Utility asset's health versus surrounding assets benchmarked

Single asset view on autopilot with AI

Data in seconds, not weeks

From six weeks to six seconds, Senpilot instantly returns requests

The weekend promise

Setup cloud buckets on Friday and have a Single Asset View by Monday

Cleaner data

Automated data extraction, loading, and transformation

Screenshot of a data quality assessment done for individual Utility assets from GIS field quality

A connected system of ESRI GIS ArcGIS Excel Oracle DERMS DER Historian SCADA and ADMS all feeding into a data ingestor powered by AI

Effortlessly plug into current systems

Asset management and more with AI

Superhuman asset analysis

Ensure capital planning analysis is thorough. Make better asset decisions faster and easier. Leverage AI to analyze all asset data together in one place.

Table of assets by group of asset with a color coding block in a column labelled health criticality and risk

Magic reporting

Generate reports 50x faster. Leverage generative AI trained to write detailed reports, with substantive Utility specific calculations and insightful charts.

A funnel of data piping in from GIS SCADA and ADMS buckets, individually, into one magic report using GenAI

Next-gen AI tools

Leap forward with ambient AI tools that go beyond. Live benchmarking to identify capital opportunities. Outage response to triangulate initial response resources. DERMS copilot to enable instant decision making.

See AI Tools

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Latest AI x Utilities

March 6, 2025

Enabling a unified intelligence layer in Utilities

A unified intelligence layer integrates data from diverse utility systems—like SCADA, smart meters, and GIS—into a single platform, enabling real-time insights, predictive analytics, and automation. This holistic approach reduces downtime, enhances resource allocation, and improves service reliability. By proactively identifying and addressing issues, utilities can streamline operations, ensure regulatory compliance, and make data-driven decisions that drive efficiency and cost savings.

February 10, 2025

Utility risk: Integrating SCADA/ADMS with ML

Many Utility companies rely on SCADA and ADMS systems alongside detailed inspection reports. Yet, a critical flaw remains—these systems don’t automatically alert operators when real-time sensor data deviates from expected norms, leaving utilities vulnerable to failures, service disruptions, and costly reactive maintenance. The solution lies in AI-driven integration, where AI and ML bridge the gap between inspection data and live monitoring systems. By enabling immediate alerts for deviations, this approach enhances proactive risk management, reduces maintenance costs, improves compliance, and strengthens stakeholder confidence. Smarter systems that continuously learn from historical and aggregated utility data ensure that minor issues are detected before they escalate into major failures.

January 2, 2025

Optimizing pole maintenance with AI: Reducing truck rolls

Rolling a truck for utility maintenance costs an average of $5,000 per deployment, but drone automation could reduce these costs by up to 90%. Traditional truck-based inspections are expensive, time-consuming, and labour-intensive. Drones with advanced sensors and imaging capabilities provide a faster, safer, and more cost-effective alternative, enabling real-time data collection and improved predictive maintenance. As drone technology and regulatory frameworks advance, their role in utility operations will continue to expand, driving efficiency and reliability in the industry.