Brad Langley
Host of the With Great Power Podcast
First Published Q2 2026
New research from Guidehouse Insights reveals that one of the most expensive obstacles to achieving demand flexibility and energy affordability could be the system utilities use to calculate a bill.
There is a common assumption in the utility industry that the hardest part of flexing demand and making energy affordable is the physics. The megawatts. The poles and wires and substations. The weather. But a new analysis from Guidehouse Insights and GridX is making an uncomfortable argument: the bottleneck may be something far less dramatic. It may be the utility billing system.
The recently released study, “Quantifying the Value of Add-on Billing Engines vs. CIS Customization,” commissioned by GridX, aimed to measure the actual costs utilities incur when implementing complex rates within legacy customer information systems (CIS). The findings are striking. Across utilities in the western U.S., the eastern U.S., and Canada, the research documents implementation timelines ranging from 18 to 36 months and capital outlays of hundreds of millions of dollars for system upgrades required to operationalize complex rates and programs.
That timeline, and that price tag, have consequences that ripple well beyond the IT department. In an era when demand flexibility has moved from a nice-to-have to a grid imperative, and energy bills get more expensive across the country, every month a utility spends waiting for a billing customization is a month that time-of-use rates, EV charging programs, and demand response tariffs sit on the shelf—undeployed, inactive, and unavailable to customers who need them.
“Every month a utility spends waiting for a billing customization is a month that time-of-use rates, EV charging programs, and demand response tariffs sit on the shelf.”
“Every month a utility spends waiting for a billing customization is a month that time-of-use rates, EV charging programs, and demand response tariffs sit on the shelf.”
The Rate Explosion
The U.S. utility landscape now contains more than 50,000 active rate structures. That number is not a misprint. It reflects decades of layering – time-of-use variants, low-income riders, EV tariffs, demand charges, renewable programs, performance-based riders – on top of systems that were built to handle a much simpler world.
The core of most utility billing infrastructure hasn’t fundamentally changed in a generation. CIS platforms were built to handle the basics: account management, payment processing, bill presentment. They were never designed to serve as rate engines for an industry undergoing real-time structural transformation.
The Guidehouse Insights research captures what happens when utilities try to force that transformation through legacy infrastructure customizations. A major West Coast utility’s CIS modernization effort ran to more than $700 million. An East Coast counterpart spent $509 million on a similar project and subsequently needed an additional $23 million remediation effort to address billing defects that emerged post-launch. A Canadian utility’s CIS upgrade came in at $48 million.
These aren’t outliers. They’re the pattern.
Flexibility Demands Speed
The timing matters because the immediacy is accelerating. Load growth projections that utilities once modeled over 20-year horizons are now arriving in 5-year increments.
Data centers, EV adoption, industrial electrification, and building decarbonization are stacking demand on a grid that’s simultaneously aging and being asked to get smarter.
Demand flexibility is the lever utilities and regulators have identified to manage that growth without building expensive new peaking capacity. The logic is clear: if you can shift load away from peak hours, by pricing electricity differently, by incentivizing EV charging at off-peak times, by enabling customers with rooftop solar or home batteries to export power when the grid needs it most, you reduce the need to build more.
Performance-based ratemaking, now active in 13 states, is beginning to reward utilities not just for capital deployed but for outcomes achieved. That shift creates new pressure to deploy programs that produce measurable results. And those programs – including demand response, dynamic pricing and virtual power plants – all share a common dependency: they have to be billed correctly.
A time-of-use rate that doesn’t calculate accurately is a liability, not an asset. A demand response payment that arrives late or wrong erodes customer confidence. A pilot program that can’t scale because the billing system can’t handle the tariff complexity doesn’t reduce peak demand. It just produces a case study about what didn’t work.
The Architecture Question
The Guidehouse Insights analysis shows a structural distinction that is easy to overlook: rate calculation and customer account management are not the same problem. CIS platforms are good at the latter. They manage accounts, process payments, store customer data, and present bills. Those functions benefit from stability. They should not change constantly.
Rate calculation has a fundamentally different operating tempo. New tariffs need to be designed, modeled, tested, and deployed on accelerating regulatory timelines. Billing outputs need to be auditable and defensible, explainable to regulators before a rate goes live, not after the first wave of complaint calls.
The paper argues for separating these concerns. A purpose-built rating engine that runs alongside the existing CIS to ingest interval data from smart meters, execute rate logic, and return billing-grade outputs back to the CIS for presentment allows each system to do what it does best. The CIS stays stable. The rate engine handles complexity. New tariffs become a configuration exercise rather than a customization project.
“New tariffs become a configuration exercise rather than a customization project. The marginal cost of each additional rate drops dramatically.”
The downstream effects compound. Implementation timelines collapse from years to weeks. The marginal cost of each additional rate drops dramatically, because the work shifts from custom development to configuration. Operational risk decreases because complex scenarios are validated in a purpose-built environment before they reach the CIS. And scarce billing expertise is free to focus on improvement and regulatory strategy rather than maintaining workarounds.
“Utilities are being asked to move faster than the existing infrastructure was designed to allow. The question is whether they apply an add-on billing approach to the layer that’s slowing them down or spend the next decade building brilliant rates and programs that never quite make it to the customer’s bill.”
Billing as a Strategic Capability
There is a tendency to treat billing as a back-office concern. It’s seen as the last step in a long chain that begins with policy, runs through rate design, and ends somewhere in the finance department. The research makes a different case.
When billing infrastructure can’t keep pace with program ambitions, the consequences aren’t administrative. They’re strategic. Demand response programs that can’t bill correctly don’t scale. Dynamic pricing pilots that result in billing errors don’t secure the regulatory approvals needed for full deployment. EV tariffs that take 18 months to implement miss the window when customer adoption is accelerating.
Every dynamic rate, every DER program, every electrification incentive eventually shows up in a billing cycle. If the billing layer can’t keep pace, the program doesn’t reach customers at scale. Regulators won’t trust numbers. Operations teams route around the problem. And the flexibility that everyone agrees the grid needs never materializes into actual load shifting.
The central argument of this paper is simple, even if the industry has been slow to act on it: the billing layer is not a back-office constraint to be managed around. It is the execution layer on which demand flexibility and affordability strategies depend. Naming that bottleneck clearly is the first step to clearing it.
Utilities are being asked to move faster than the existing infrastructure was designed to allow. The question is whether they apply an add-on billing approach to the layer that’s slowing them down or spend the next decade building brilliant rates and programs that never quite make it to the customer’s bill.
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