The Data-Driven Future of Utility Vegetation Management

A case study in proactive planning, wildfire mitigation, and reliability

SUMMARY

A large Pacific Northwest utility needed a smarter way to manage vegetation risk across its transmission and distribution network. The goal was not simply to trim more trees. It was to make better decisions about where vegetation posed the highest wildfire risk, where budgets should be focused, and how the organization could turn field and system data into actionable planning.

Tamazari supported the leading utility through the implementation of an Intelligent Vegetation Management System designed to assess risk using vegetation characteristics such as proximity to lines, tree height, and tree health. The project helped move vegetation management from a reactive maintenance function toward a more data-driven, risk-based planning model.

CLIENT BACKGROUND

The client operates critical electric infrastructure across a service territory where vegetation is more than an operational concern. It's a reliability issue, a safety issue, and a public trust issue. Trees and branches near power lines can contribute to outages, emergency repairs, wildfire exposure, and higher maintenance costs when work is not prioritized effectively.

Like many utilities, the organization was facing the challenge of balancing risk, reliability, and budget. Vegetation management teams needed a clearer way to understand which areas required immediate attention, which circuits could wait, and how different trimming strategies could affect future work cycles.

CHALLENGE

The utility needed a solution that could assess reliability and wildfire risk across its network based on real vegetation characteristics. Teams needed to understand how close trees were to transmission and distribution lines, how tall they were, how healthy they were, and whether they were at risk of falling into critical infrastructure.

The challenge was also financial. Vegetation management budgets are limited, and utilities need to know where each dollar will have the greatest impact. Some of the questions that needed to be explored with rigor were:

• Where should the budget go first?

• Which circuits or areas carry the highest risk?

• Which work can be deferred?

• Which trimming decisions could extend the next cycle by several years?

  
  

In essence, the utility needed a more proactive way to prioritize work based on risk, budget, and future maintenance cycles.

SUCCESS CRITERIA

• Implement an intelligent vegetation management platform that could support reliability and wildfire risk assessment.

• Evaluate vegetation risk across both transmission and distribution lines.

• Detect trees that may strike power lines or branches growing too close to infrastructure.

• Use vegetation characteristics such as proximity, height, and health to inform risk profiles.

• Support budget-based planning so teams could prioritize the highest-value work.

• Enable cycle-trim and half-cycle-trim planning based on risk and expected future maintenance needs.

• Deliver the project iteratively, with features and analysis released in stages.

• Create a repeatable annual process that the utility could use each summer.

  
  

SOLUTION

Tamazari supported the utility through the selection and implementation of an Intelligent Vegetation Management System. The team participated during the RFP process, reviewed vendor options, supported demonstrations, and helped guide the utility toward a solution that could meet both operational and risk-based planning needs.

The selected platform was designed to analyze vegetation conditions and provide insights that could guide trimming decisions. Rather than relying only on manual judgment or reactive requests, the system helped the utility evaluate where trees and branches posed risk to transmission and distribution infrastructure.

One of the most important capabilities was budget optimization. The system could help teams understand how to apply available funding against the highest-priority work. For example, if the utility had a limited budget, the platform could help identify where that money should be focused to reduce risk and improve reliability. If more funding became available, teams could evaluate off-cycle trimming opportunities and address additional areas before they became more urgent.

IMPLEMENTATION

The project began during the RFP stage and continued through implementation over roughly a year and a half. Tamazari helped coordinate the work across the utility, vendor teams, and internal stakeholders as the system moved into production. Features were delivered iteratively, with security and other foundational capabilities deployed first, followed by analysis and insights for distribution and transmission lines.

A major part of implementation was helping the organization turn data into an actionable workflow. The project was not only about deploying a platform. It was about establishing a new way of thinking about vegetation management. The utility needed to collect inputs, review analysis, understand the risk profile, and then act on the data in a repeatable way.

The transmission GIS work also played an important supporting role. Transmission line data from that separate modernization effort became an input into the vegetation management program, showing how better asset data can create downstream value across multiple utility functions.

RESULTS

The project gave the utility a new foundation for risk-based vegetation management. With the Intelligent Vegetation Management System in production, teams gained a more structured way to assess vegetation risk, evaluate budget scenarios, and prioritize trimming activity.

The platform helped support cycle-trim and half-cycle-trim planning. For example, teams could evaluate whether trimming a circuit in 2026 could extend the next trim cycle by several years, or whether certain work could safely wait. That level of insight helps utilities make more confident decisions about when to act, where to invest, and how to manage future workload.

The project also helped establish vegetation management as an annual, repeatable process. Instead of treating the first implementation as a one-time effort, the utility could use the process each summer to provide inputs, review analysis, and act on updated data. That repeatability is critical because vegetation risk changes over time. Trees grow, weather patterns shift, budgets change, and reliability priorities evolve.

LONG-TERM VALUE

The long-term value of this project is a smarter, more proactive approach to vegetation risk. Utilities are under increasing pressure to improve reliability, manage wildfire exposure, and make infrastructure investments with better discipline. Vegetation management sits directly at the intersection of those priorities.

By implementing a system that connects vegetation characteristics to risk, budget, and maintenance planning, the utility gained more than another dashboard. It gained a decision-making framework. Teams can better understand where risk is building, where limited dollars should go first, and how today’s trimming decisions affect future maintenance cycles.

Most importantly, this work connects directly to the greater good. Reliable electricity is essential to homes, businesses, hospitals, schools, emergency services, and everyday life. When utilities manage vegetation more intelligently, they reduce the likelihood of outages, support safer communities, and strengthen the resilience of the grid people depend on.

KEY LEARNINGS

• Vegetation management works best when it's proactive, not reactive.

• Data quality is foundational. The value of the analysis depends on the quality and completeness of the inputs.

• Vendor coordination needs to be structured early. Reactive, one-off requests for data can create delays and slow momentum.

• Budget optimization is a major operational advantage because it helps teams focus limited resources where they matter most.

• Cycle planning creates long-term value by helping utilities understand how current trimming decisions affect future maintenance needs.

• First-time implementations should be treated as learning cycles. The process can become more efficient and repeatable each year.

• Vegetation management is not just tree trimming. It is reliability planning, wildfire risk mitigation, and grid resilience work.