When large-scale utility capital projects and programs arise, the topic of Key Performance Indicator (KPI) monitoring progression management tends to follow closely. And after decades of working on such projects and programs in the industry, the recurring theme is that the data needed to effectively manage them often lags behind the pace of project execution. This leads to contractor and vendor performance issues, invoicing inconsistencies and overbilling, waste, fraud and abuse that end up affecting ratepayers and local communities.

Somewhere between the project management system, spreadsheets, text messages, email threads, phone calls, finance platform and the boardroom, the strategic direction gets muddled and leadership loses the clear and complete picture.

The culprit isn’t a lack of technology, though. The missing link is the metrics—what gets measured and why. This is precisely what CenterPoint Energy has set out to solve, and why this provides a solid playbook for utilities on a similar journey.

The structural blind spot in utility capital portfolio oversight

CenterPoint Energy’s largest grid resilience infrastructure plan to build the most resilient coastal grid in the country is currently underway, with the Public Utilities Commission of Texas (PUCT) approving the more than $3 billion investment. CenterPoint Energy will continue its investments in the electric transmission system, including elevating more than 99% of substations above the 500-year floodplain and upgrading or rebuilding more than 2,200 transmission structures to improve overall reliability and resiliency.

The purpose is to reduce storm-related outages by almost one billion minutes for 2.8 million customers by 2029. But, with an initiative of this magnitude, how do you keep a pulse on what's happening across hundreds of concurrent projects and programs in real time and in one place?

Most utilities don’t. Project managers wait on weekly status reports, which then trickle down to senior leadership in hopefully frequent updates. Schedule delays, missing documents, erroneous figures and all kinds of bottlenecks are painstakingly slow to emerge but quick to throw capital projects and program efforts into chaos. This also creates documentation gaps for future rate case requests.

CenterPoint Energy faces these same challenges. Its resiliency initiative manages a large portfolio of projects and programs across both Resiliency (System Resiliency Plan) and Non-Resiliency (Non-SRP) categories. Multiple contractors, varying contract types (Bid and Time & Equipment) and projects that move through distinct phases, from Engineering and Design, Permitting, to Civil Construction, Substation and Transmission Construction, to Testing and Commissioning and ultimately, In-Service, are normal features.

Meanwhile, project data was scattered across Oracle’s Primavera P6 for milestone scheduling, SAP for internal crew financials, Microsoft’s SharePoint for stored spreadsheets, Coupa for contractor invoices and bid estimates, email threads and text messages for field updates and contractor timesheets for accrued costs.

Teams were forced to manually assemble all these different pieces just to get the overall view. This is unfeasible when managing hundreds of projects, especially across multiple phases, contractors and fiscal years, with regulators, ratepayers and executive leadership all expecting accountability.

How a decade of field data collection enabled strong program management

In 2016, CenterPoint Energy deployed a field data collection platform to capture what had previously lived in emails, text messages, phone calls and filing cabinets: real-time field updates, field photos, as-built documents, Quality Assurance & Quality Control (QA/QC) inspection reports, daily field reports, contractor performance reports and project progress tracking. For the first time, field crews and project coordinators had a structured way to document what was happening on the ground in real time, rather than reconstructing it after the fact.

That decision created a compounding advantage. Over nearly 10 years of continuous use, the platform has built a depth of operational data that fundamentally changed the relationship between field operations and engineering. The operations-to-engineering-to-standards communication gap that plagues most utility capital programs began to close, not through process mandates or organizational restructuring, but through a shared data layer that both engineering and operations could see and trust.

By the time CenterPoint Energy was ready to build a balanced scorecard for its $3 billion resilience program, it wasn't starting from scratch. CenterPoint Energy built on nearly a decade of structured field data, and that foundation is what made the scorecard possible at the scale and speed the program demanded.

Designing the balanced scorecard framework for program oversight

So, CenterPoint Energy developed a purpose-built balanced scorecard platform that consolidates six data systems into a single operating picture. That platform now manages almost 600 projects with 99.56% invoice compliance and live visibility into schedule, budget, contractor performance and internal quality metrics.

The main takeaway here is the replicable framework behind the platform for any utility managing large capital portfolios and looking to move from reactive project tracking to proactive, data-driven capital portfolio management of projects and programs.

Before building anything, CenterPoint Energy defined the metrics that would actually drive decisions. The goal was to build a management platform, not a reporting tool—one that leadership could use to identify risk, hold contractors accountable and keep a more than $3 billion investment initiative on track.

Every decision has been shaped by this distinction. The Command Center was structured around two primary views: a “Key Performance Measure” (KPM) for enterprise-level capital portfolio projects and program oversight, and a “Project Summary” for individual project drill-through as a repository of major decisions, with reasoning and documents to support future rate cases.

Why metrics design drives program performance

A couple of decades ago, when utilities started interconnecting renewable energy to the transmission grid, capital portfolio project delivery and execution emerged as a significant competitive differentiator.

The Institute of Electrical & Electronics Engineers (IEEE) Power & Energy Society (PES) Technical Activities Coordinating Committee Working Group, in partnership with IEEE Engineering Management, conducted structured reviews of established frameworks, including the Balanced Scorecard, the European Foundation for Quality Management Excellence model and Retail Performance Management Systems. That body of research, published in a handful of peer-reviewed papers and presented at industry conferences, helped establish the intellectual foundation for how utilities could systematically track and improve capital portfolio project delivery and execution.

What was made clear here, and what CenterPoint Energy’s program validates in practice, is that sequence is a powerful factor. First, design the metrics. Then you can move on to building the dashboard.

CenterPoint Energy's Balanced Scorecard framework stems from well-established bodies of standards, applied to the specific demands of utility capital portfolio project delivery and execution:

1. Safety Performance Metrics based on Occupational Safety & Health Administration (OSHA) standards. It’s the regulatory baseline for every utility program’s operations, but not often translated into real-time visibility. Tracking both leading and lagging indicators empowers program managers to proactively intervene rather than record and address them after the fact.
    
2. Project Schedule and Cost Metrics are inspired by the Project Management Institute (PMI) best practices, specifically Earned Value Management (EVM) and the Cost Performance Index. EVM adoption is still fairly low across utilities, where project accounting tends to trail on-the-ground realities by weeks.
    
3. Quality & Productivity Metrics draw from Lean Six Sigma Principles and the International Organization for Standardization ISO 9001 framework, so disciplines are focused on process consistency and defect reduction. In a contract-heavy environment across hundreds of projects, proactive quality management helps distinguish strong performers from those with snowballing issues that only belatedly come to light.

These metrics have enabled CenterPoint Energy to close pressing operational gaps, eliminating delays and opaque project management in exchange for scalable success and maximum visibility. Critically, each of these metric categories depends on reliable field data flowing into the system consistently, the very capability CenterPoint Energy had been building since 2016.

Where AI adds value in utility capital program execution

A Command Center built on integrated data creates a natural foundation for AI.

CenterPoint Energy's -leveraged agentic architecture—AI systems designed around actual utility workflows rather than forcing workflows to adapt to the technology. This matters because most AI implementations fail in production when they don't understand how an organization actually operates. This context engineering approach, structuring how AI understands company rules, project history and operational workflows, is what enables the agents to function as additional resources for project managers and coordinators rather than requiring them to "train" the AI or adapt their processes.

One of the most practically important decisions CenterPoint Energy made was to integrate existing systems rather than replace them, a deliberately practical approach. The team embedded AI capabilities directly into the operational workflows that feed the KPI platform. The result is a set of tools that work alongside field crews and project managers, not in place of them.

On the financial side, AI-driven validation cross-checks submitted timesheets against rate cards and equipment allocations when invoices are submitted, catching billing discrepancies. Project managers, supervisors and project coordinators can use natural language queries to dive deep into specific project performance, using the AI agent as an additional resource that is always available.

For field operations, an AI agent embedded in the daily workflow answers operational questions while communicating relevant project context. It also guides field teams through form completion, task creation and document submission. This matters for data quality as much as efficiency, because structured, consistent data entry at the field level is what makes the command center’s metrics reliable at the enterprise level.

On the analytics side, the AI agent identifies trends, anomalies and risk signals across timesheets, invoices and project data in real time. When the KPI scoreboard shows a contractor's utilization rate drifting below target or a cluster of projects showing financial variance, AI agents can help leadership understand why and whether the pattern is emerging elsewhere in the portfolio before it shows up in the aggregate metrics.

The important point is that none of this replaces the Balanced Scorecard Platform's core function as the framework. The dashboards remain the authoritative view. AI operates upstream, improving the quality, speed and consistency of the data flowing into that view. Downstream, AI helps leadership interpret patterns and act on them faster. Human decisions fill the spaces in between.

Pilot, iterate, then deploy: A phased approach to software platform adoption

Instead of attempting to deploy the management system across the full portfolio from day one, CenterPoint Energy selected two pilot projects to validate the approach before full rollout.

The pilot served multiple purposes. First, it confirmed that data from each source system aligned correctly and that milestone logic, financial calculations and contractor metrics were producing accurate results. It also gave the end users, from program leadership to project managers, field coordinators and supervisors, a chance to interact with the dashboards and provide feedback before the system was populated with hundreds of projects.

Essentially, CenterPoint Energy built confidence in the platform before scaling it by piloting the system, gathering user feedback and iterating before expanding to the full capital project and program portfolio. It’s not a complicated process, but it breaks away from the beaten path—most utilities surrender to the pressure to prove results fast, pushing most programs to broad rollouts that overwhelm users and expose data quality problems at scale.

Over the course of multiple feedback cycles, CenterPoint Energy refined terminology, updating SRP/Non-SRP labels to "Resiliency/Non-Resiliency Projects.” CenterPoint Energy also inverted the variance logic to frame metrics positively, showing projects with variance under 10% rather than over, while aligning financial figures between the KPI and Project Summary dashboards. Dynamic color coding for variance and financial metrics was introduced, and separated change orders from additional funding for cleaner financial reporting.

Every single one of these changes was driven by front-line professionals’ feedback, the very teams who would be using the Balanced Scorecard Platform daily. That included project managers, supervisors and coordinators. The result? A platform that reflects how the CenterPoint Energy High Voltage Delivery team actually thinks about project and program management, not how a software vendor assumed they should.

Data challenges utilities will face when scaling KPI platforms

It’s worth touching on several challenges that arose during CenterPoint Energy’s deployment because these are likely to appear in any large-scale utility rollout.

Historical Data

For the Balanced Scorecard Platform to show meaningful trends, it needed historical project data, not just current-state snapshots. Coordinating with project coordinators to enter 2024 historical data and post-issued for construction drawing records gave the dashboards the longitudinal depth needed for trend analysis, but proved challenging due to the scale and depth.

Multi-year Project Classification

Projects that span multiple fiscal years needed logic to place them in the correct year and phase based on milestone date constraints. This is a classification problem that doesn't exist when you're tracking projects in spreadsheets one at a time and requires a well-coordinated and planned approach to solve.

Canceled Project Noise

Without filtering, canceled projects cluttered the portfolio view and skewed metrics. Adding a filter to show only Active and Completed projects cleaned up the operating picture.

600 Projects, 99.56% Invoice Compliance: What the Balanced Scorecard Reveals

The Command Center is in production, and CenterPoint Energy leadership now has visibility into the capital project portfolio and its performance that was previously impossible to assemble and tap into.

Across their current portfolio, the KPI dashboard tracks nearly 600 projects distributed across five phases: Engineering and Design, Civil & Electrical Active Construction, Construction Complete, In-Service and On-time Delivery Performance (measured against a 93% target). This provides leadership with clear visibility into which phases need operational attention.

In terms of finances, 99.56% of invoices are received and paid within the 90-day threshold from task completion to payment. That’s a near-perfect compliance rate on payment discipline across hundreds of projects and thousands of invoices. Construction estimate-to-actuals ratio for bid contracts is 100%, while T&E contracts are about 85%, with a target of 93% or higher. This metric informs how CenterPoint Energy manages different contract types and also provides areas for improvement.

The Project Summary dashboard gives leadership drill-through visibility into individual projects. The summary includes historical date-change tracking that shows how milestones have shifted over time, documented change requests with reasons for delays, work order costs by type, personnel assignments across coordination roles and field issues with severity classifications and photographic documentation. This level of project-level detail, consolidated into a single view, is what makes a reporting tool a management tool.

Finally, contractor performance metrics show utilization rates, change order patterns and safety scores by contractor, metrics that enable data-informed conversations around contractor allocation, performance improvement and future awards. Internal quality metrics track design changes post-issued for the construction drawings stage, material quality and corrective actions, construction oversight cost variance and construction performance metrics. These provide leadership with a clear read on where internal processes are performing within tolerance and where they need attention.

Prior to this, these numbers and readings didn’t exist in a single view. They were assembled manually, often in scattered and fragmented formats, if they were assembled at all.

The Balanced Scorecard is a systems engineering framework, specifically designed to ensure comprehensive insight across the entire workflow. Leveraging the framework ensures every stage is monitored and optimized for effectiveness, not only helping CenterPoint Energy identify areas for improvement but also to consistently align strategies and objectives with measurable outcomes throughout the entire project lifecycle.

The $1.4 trillion question: Will utilities build visibility before regulators demand it?

Grid investments are accelerating toward $1.4 trillion over the next five years to power the AI boom and regulators and ratepayers demand greater accountability for capital deployment. Utilities can choose: continue assembling portfolio status from fragmented systems, or invest in the real-time visibility that makes billion-dollar programs manageable.

CenterPoint Energy proved it can be done. Now, the question for every other utility is no longer whether this level of program control is possible, but whether they'll build it proactively or wait until the next program review exposes what leadership couldn't see.