See What’s Happening Across Your Entire Grid

Utilities today manage more poles, circuit miles, substations and related assets than ever before, all under increasing regulatory scrutiny and tighter budgets. Yet most organizations collect imagery and remote sensing data in an ad hoc manner, with engineering, operations and vegetation management running separate programs that duplicate costs and don’t share data. Non-imagery remote sensing sources include AMI, line monitors, SCADA and other sensors tied to assets or locations. The result is an incomplete picture of asset health and no systematic way to anticipate failures.

TRC’s enterprise asset visibility for predictive maintenance solutions change that. We centralize remote-sensing data, govern it properly and apply advanced AI-driven analytics at scale. Utilities shift from reactive, time-based inspection cycles to risk-based, predictive maintenance, sending crews exactly where the data shows they are needed most.

The benefits of TRC’s enterprise visibility for predictive maintenance include:

  • Centralized remote sensing governance
  • AI-enabled condition detection
  • Risk-based maintenance prioritization
  • Regulatory compliance evidence
  • Reduced inspection cost and redundancy

From Fragmented Data to Enterprise Asset Intelligence

Enterprise asset management requires more than periodic drive-by inspections, one-off drone flights or any other mode of acquisition. Utilities that partner with TRC gain a comprehensive, end-to-end program that begins with a structured acquisition strategy to determine what data exists, where it’s managed, who can access it and what data is needed.

The result? Companies follow a comprehensive collection strategy that maximizes data value across the enterprise. For example, a single drone mission can serve multiple purposes simultaneously, including yield data, asset mapping, damage assessment, vegetation management and predictive maintenance across the enterprise. 

From there, we build a governed, cloud-native remote sensing platform that centralizes references to imagery, AMI and SCADA data in a single, secure, policy-compliant environment. Computer vision and geospatial AI models then run at scale across the centralized data store.

These models automatically detect conditions such as cracked insulators, bent crossarms, frayed conductors and thermal anomalies that signal impending failures. Analytic derivatives flow directly into GIS, enterprise asset management (EAM) and work management systems (WMS), turning detections into actionable work orders without manual re-entry.

This creates a closed-loop program that continuously improves asset data quality. With more timely and complete data, such as asset condition data, utilities can employ AI and advanced analytics to perform predictive maintenance and asset replacement that prevents outages and downed service from occurring in the first place. Moreover, utilities can generate audit-ready condition records required by regulators.

We offer a breadth of capabilities and depth of utility-domain knowledge. Most vendors offer niche products such as an analytics platform, a drone service, or a GIS tool. We serve as a technical integrator, bringing together acquisition planning, cloud engineering, geospatial expertise, AI development, and systems interfacing through a single accountable partner. Moreover, we do not take custody of your data to fuel our own models. 

Unlike analytics vendors whose business models depend on access to utility imagery or whose SaaS offerings are incompatible with security or procurement policies, we build a governed architecture that keeps your organization in control: Personally identifiable information (PII) is scrubbed, and retention policies are enforced and data is secured before any third-party partner touches it. Our hundreds of practitioners with decades of experience, give us the scale and specialization to deliver programs that start with a pilot and scale to enterprise-wide deployment.

With TRC, clients gain:

  • Enterprise-wide total asset visibility at scale
  • Utility-controlled data ownership and governance
  • AI and computer vision analytics, deployment-ready
  • Seamless integration with existing enterprise systems

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Full-Spectrum Capabilities Across the Asset Lifecycle

TRC brings together deep technical operations knowledge, key industry partnerships, cloud and geospatial engineering expertise and proven AI delivery capabilities. We employe these capabilities to execute asset visibility programs that scale from pilots to enterprise-wide deployments. We begin with the business problem—regulatory pressure, inspection backlogs, fragmented imaging programs and rising costs—and work backward to design solutions that deliver measurable value. Our practitioners guide clients through acquisition strategy, platform build-out, analytics configuration and systems integration, ensuring that investments align directly with operational and compliance outcomes.

Coordinated Data Acquisition Strategy
Governed Cloud Platform
Intuitive Discovery and Exploration
AI and Computer Vision at Scale
Enterprise Systems Integration
Program Management and Governance

Coordinated Data Acquisition Strategy

We design enterprise-wide acquisition plans that determine what to fly, which sensors to deploy and at what resolution and frequency. A single drone flight yields data useful for multiple use cases simultaneously, eliminating costly, redundant missions across departments.

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Governed Cloud Platform

Our cloud-native architecture centralizes all remote sensing data—drone, aerial, satellite and terrestrial—within a secure, PII-scrubbed, retention-policy-enforced environment. Utilities retain full ownership and control while enabling safe, governed access for analytics partners and internal stakeholders via standards-based APIs and role-based permissions.

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Intuitive Discovery and Exploration

Using GIS software, such as Esri’s ArcGIS platform, and integrated data catalogs, we link every image, point cloud and scan to a specific asset location. Authorized users can search and filter imagery by pole ID, circuit, location or time to enable longitudinal trend analysis and change detection across inspection cycles.

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AI and Computer Vision at Scale

Our practitioners configure and deploy machine learning pipelines that automatically detect conditions across millions of assets, at a scale no manual review program can match. Our open architecture readily accommodates new models as technology advances and use cases expand.

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Enterprise Systems Integration

Analytics outputs flow directly into GIS, EAM, ADMS and work management systems through TRC-built connectors, turning detections into field-ready work orders and data corrections. Additional data sources include remote sensing data feeds from AMI, SCADA and others, which help to further define a comprehensive asset health picture. This eliminates manual re-entry, accelerates time to action, and ensures asset records continuously reflect real-world conditions across the organization.

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Program Management and Governance

We serve as the trusted integrator across acquisition vendors, analytics partners and utility stakeholders, managing roadmaps, coordinating multi-party delivery and ensuring that security, retention and compliance requirements are met end-to-end. Clients gain a single accountable partner throughout the full program lifecycle, from assessment and pilot through enterprise refresh.

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Turn Your Asset Data into Valuable Decision Support

Utilities that build enterprise asset visibility gain a multi-pronged operational advantage. They satisfy regulatory and compliance requirements, reduce inspection costs, prevent outages and demonstrate proactive risk management that protects the business in the long term. TRC has the technical depth, advanced tools and utility expertise to make that transformation real. Connect with our experts today to discuss your priorities.

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Frequently Asked Questions

Want to learn more about our enterprise asset visibility services and solutions for predictive maintenance? Our FAQs offer additional information.

Our platform was designed to resolve this central governance challenge. Rather than sending raw data to each analytics vendor, TRC builds a governed, centralized remote sensing environment that your utility owns and controls. Data is ingested, described, normalized and scrubbed of PII before it leaves your environment.

Vendors access curated, policy-compliant data sets, not your raw operational data. You determine what they see, when they see it and under what security conditions. The result is access to best-in-class AI and computer vision capabilities while your utility retains full data sovereignty and compliance.

Most utilities are already investing in imagery, but those investments are fragmented across departments, with engineering, GIS, operations and vegetation management each running separate programs. TRC’s historical data inventory process identifies where redundancy exists and the associated costs.

Our platform then consolidates those siloed assets into a single, governed repository, so prior investments can serve multiple use cases rather than remain in local folders. The acquisition strategy we design going forward also ensures each flight serves multiple business objectives simultaneously, improving cost efficiency and maximizing analytical value.

Yes, and it’s a primary driver of this solution. Regulators, particularly in fire-prone regions, increasingly require utilities to demonstrate active, evidence-based risk mitigation rather than merely meeting periodic inspection requirements. TRC’s platform generates audit-ready condition records and detection histories.

Regulators use these to confirm that your organization systematically identifies and addresses field risks. Risk-based prioritization, using AI-detected conditions to rank assets that require immediate field attention, also helps. Companies can direct limited maintenance resources to locations where data indicates the greatest exposure, thereby demonstrating the proactive posture regulators are looking for.