{"id":48156,"date":"2026-06-25T11:03:26","date_gmt":"2026-06-25T16:03:26","guid":{"rendered":"https:\/\/www.openintl.com\/ambienteTrabajo2\/?p=48156"},"modified":"2026-06-25T12:20:53","modified_gmt":"2026-06-25T17:20:53","slug":"utilities-should-evolve-reactive-collections-to-intelligent-revenue-operations","status":"publish","type":"post","link":"https:\/\/www.openintl.com\/ambienteTrabajo2\/utilities-should-evolve-reactive-collections-to-intelligent-revenue-operations\/","title":{"rendered":"Why Utilities should evolve from reactive collections to Intelligent revenue operations"},"content":{"rendered":"\t\t
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\n\t\t\t\t\tUtilities are facing financial pressure that goes far beyond traditional delinquency. Technological fragmentation, reactive and low-empathy collection models, and errors caused by highly manual processes are silently eroding cash flows long before a bill reaches its due date. In this context, the transition toward intelligent revenue operations, combining advanced analytics, automation, and AI with deep financial empathy, is the operational decision making the difference between utilities that protect their customers and revenue, and those that recover them too late. <\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The\u00a0obsolescence of the\u00a0reactive,\u00a0low-empathy\u00a0model\u00a0\u00a0<\/span><\/h3>

The utility market\u00a0operates\u00a0in an environment of high volatility, where rising energy costs collide with compounding household debt.\u00a0Nearly 21.5\u00a0million U.S. households,\u00a0roughly one\u00a0in six,\u00a0are currently behind on their energy bills, carrying a national arrears balance that exceeds\u00a0<\/span>$21 billion<\/span><\/b>, up approximately 30% since the end of 2023 [1]. While companies implement cash management strategies aimed at improving overall\u00a0<\/span>days sales outstanding (DSO),<\/span><\/b>\u00a0the average days delinquent (ADD) continues to climb, reflecting that late-paying accounts are taking progressively longer to recover [2].<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

This growing delinquency\u00a0duration\u00a0forces utilities to adopt increasingly defensive financial positions, inflating the regulated revenue\u00a0requirement,\u00a0and placing the cost of uncollectible debt on the broader customer base [3].<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

When faced with this landscape, it\u2019s clear\u00a0that\u00a0the traditional model is no longer enough. Managing debt only after its due date is a reactive measure that kicks in when the financial damage is already done. By applying\u00a0rigid,\u00a0mass collection strategies, which resulted in over\u00a0<\/span>13.4 million electricity disconnections in 2024<\/span><\/b>\u00a0alone [4][5], this approach reflects a complete disconnect from customers’ realities. Low-income households already spend an average of\u00a0<\/span>8.6%<\/span><\/b>\u00a0of their income on energy [1] and pushing them toward disconnection rather than offering preventive solutions accelerates delinquency instead of resolving it. The deeper problem, however, escapes conventional indicators entirely: revenue leakage begins long before any customer reaches the\u00a0collections\u00a0stage.<\/span>\u00a0
<\/span>\u00a0<\/span><\/p>

The\u00a0real\u00a0problem: Revenue is\u00a0lost\u00a0before\u00a0collections\u00a0\u00a0<\/h3>

Most utilities manage revenue recovery from\u00a0the overdue\u00a0debt. However,\u00a0a significant portion\u00a0of losses\u00a0occur\u00a0much earlier, during the commercial cycle itself, in the form of measurement errors, tariff inconsistencies, withheld billing, delayed reconciliations,\u00a0highly manual processes\u00a0and operational anomalies that go undetected until it is too late.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

The financial scale of these pre-collection losses is\u00a0substantial. Non-revenue water alone costs U.S. utilities more than $6.4 billion annually, with\u00a0nearly one\u00a0in five gallons of treated drinking water lost before it reaches customers or is improperly billed due to system errors [6].\u00a0These losses rarely surface in standard collection reports. By the time the organization detects the problem, much of the potential revenue has already been diluted throughout the commercial cycle.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

Added to this is the operational disconnect from customers’ financial realities. Without systems capable of dynamically reviewing demographic and socioeconomic variables, utilities miss the opportunity to act with empathy. True financial retention happens when the\u00a0system, before\u00a0a default occurs.\u00a0For instances, it\u00a0can proactively offer arrearage management programs (AMPs) paired with percentage-of-income payment plans (PIPPs), programs that cap current bills at a manageable share of household income and have been shown to improve bill coverage ratios by approximately\u00a0<\/span>50%<\/span><\/b>\u00a0[3], preventing customers from being pushed into uncollectible debt by the rigidity of the traditional model.<\/span>\u00a0
<\/span>\u00a0<\/span><\/p>

The\u00a0hidden\u00a0cost of\u00a0fragmented\u00a0architectures and\u00a0legacy\u00a0systems\u00a0\u00a0<\/h3>

It is common to find utilities where billing, customer management, advanced metering, CX, and field work systems\u00a0operate\u00a0independently, forcing teams to work with scattered information and manual processes. When measurement, consumption, billing, and payment data are not synchronized in real time, concrete problems\u00a0emerge\u00a0like\u00a0unbilled consumption, tariff errors, payment application failures, delayed service orders, and commercial disputes that stall collections.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

This chain of failures is known as\u00a0<\/span>revenue\u00a0leakage<\/span><\/b>,\u00a0the economic value progressively lost throughout the commercial cycle before being detected by financial departments. The gaps in\u00a0debt\u00a0recovery are directly tied to\u00a0<\/span>critical<\/span><\/b>\u00a0<\/span>technological deficiencies<\/span><\/b>. According to Gartner, traditional CIS platforms were built as monolithic, batch-processing engines\u00a0optimized\u00a0for simple meter-to-cash cycles, and they lack the architectural flexibility needed to support complex data flows and dynamic pricing [7][8]. Smart meter data arrives late to commercial\u00a0processes,\u00a0consumption anomalies are processed weeks later, and the result is a\u00a0<\/span>growing DSO<\/span><\/b>, compressed margins, and a progressively\u00a0<\/span>deteriorating customer experience<\/span><\/b>.<\/span>\u00a0
<\/span>\u00a0<\/span><\/p>

When Volume Exceeds Human Capacity\u00a0\u00a0<\/h3>

The digitalization of the electricity, gas, and water sectors has multiplied exponentially the volume of data generated by advanced metering infrastructure, but many utilities still rely on manual reviews to\u00a0identify\u00a0financial problems. The gap between available data and the capacity to process it manually is becoming increasingly difficult to close.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

A recent industry case illustrates the\u00a0magnitude\u00a0of this challenge: a utility with approximately\u00a0<\/span>480,000 smart meters<\/span><\/b>\u00a0identified\u00a0more than\u00a0<\/span>95,000 leakage alerts<\/span><\/b>\u00a0in just 72 hours using advanced analytics and artificial intelligence [9]. That level of detection\u00a0and\u00a0exception management\u00a0are\u00a0simply not\u00a0viable\u00a0with manual processes. Meanwhile, high-bill inquiries continue to surge as customers struggle to decode complex rates and seasonal adjustments, absorbing significant staff hours and settlement costs across billing cycles [2][10]. Waiting until the end of the billing cycle to\u00a0identify\u00a0anomalies means allowing losses to accumulate for weeks before any corrective action begins.<\/span>\u00a0
<\/span>\u00a0<\/span><\/p>

The\u00a0solution: Intelligent\u00a0revenue\u00a0operations\u00a0\u00a0<\/h3>

Faced with this landscape, more utilities are moving toward an\u00a0<\/span>Intelligent revenue operations<\/span><\/b>\u00a0model. Unlike traditional collections approaches, this strategy does not wait until revenue is lost before\u00a0taking action. Instead, it uses predictive analytics, automation, and artificial intelligence to\u00a0identify\u00a0and address risks throughout the commercial cycle before they become financial losses. Moving to this model requires utilities to\u00a0rethink\u00a0how\u00a0data, customer operations, field activities, billing, customer experience, and\u00a0financial management\u00a0work together across the organization.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Open<\/span><\/b>\u00a0enables this approach through\u00a0<\/span>Smartflex<\/span><\/b>, a comprehensive platform built specifically for utilities.\u00a0Smartflex\u00a0brings together billing, customer service, field operations, and smart metering on a single data model. With shared data and automated workflows, utilities gain a clearer view of the revenue cycle and can respond more quickly to operational and financial issues as they\u00a0emerge.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

At the center of this capability is Alexandria, Open’s embedded AI engine. Alexandria analyzes operational, commercial, and financial data to\u00a0identify\u00a0risk patterns, support autonomous processes, and help utilities make faster, more informed decisions across the revenue lifecycle.<\/span>\u00a0
<\/span>\u00a0<\/span><\/p>

From Reacting to Anticipating\u00a0\u00a0<\/h3>

Revenue management in the utility industry can no longer rely on a reactive collections approach that begins only after an account becomes overdue. Replacing manual processes and fragmented architectures with\u00a0a\u00a0unified operation not only helps prevent revenue loss and improve recovery outcomes, but also strengthens regulatory compliance, enhances\u00a0the customer\u00a0experience, and provides the visibility needed to\u00a0<\/span>make smarter, more informed financial decisions<\/span><\/b>.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>

The question utility leaders must ask today is not whether revenue management needs to be modernized, but whether their current technology architecture has the connectivity, visibility, and analytical capabilities\u00a0required\u00a0to\u00a0<\/span>protect<\/span><\/b>\u00a0revenue in an increasingly complex environment.\u00a0<\/span>Intelligent revenue operations<\/span><\/b>\u00a0are\u00a0not a future concept. It is the direction utilities are taking as they move from reacting to problems after they occur to\u00a0anticipating\u00a0and addressing them before they\u00a0impact\u00a0financial performance. Combining the power of analytics with financial empathy, utilities can protect revenue while better supporting customers through financial challenges, strengthening trust, and building long-term loyalty.<\/span>\u00a0
<\/span>\u00a0

<\/span><\/p>

References\u00a0<\/strong><\/p>

[1]\u00a0<\/span><\/b>NEADA.\u00a0<\/span>Energy Hardship Project \u2014 Energy Affordability Data<\/span><\/i>.\u00a0<\/span>https:\/\/neada.org\/energy-affordability-project\/<\/span><\/a>\u00a0<\/span><\/p>

[2]\u00a0<\/span><\/b>WNS.\u00a0<\/span>Rethinking Meter to Cash for High-Demand Summers<\/span><\/i>.\u00a0<\/span>https:\/\/www.wns.com\/perspectives\/articles\/beating-the-summer-surge-re-imagining-meter-to-cash-for-connected-cx-and-resilient-revenue<\/span><\/a>\u00a0<\/span><\/p>

[3]\u00a0<\/span><\/b>RAP.\u00a0<\/span>Past Due: Modernizing the Regulatory Framework for Residential Collections<\/span><\/i>.\u00a0<\/span>https:\/\/www.raponline.org\/blog\/modernizing-regulatory-framework-residential-collections\/<\/span><\/a>\u00a0<\/span><\/p>

[4]\u00a0<\/span><\/b>Energy and Policy Institute.\u00a0<\/span>Federal data shows over 13 million electric shutoffs as industry posts record profits<\/span><\/i>.\u00a0<\/span>https:\/\/energyandpolicy.org\/thirteen-million-electric-shutoffs-as-industry-posts-record-profits\/<\/span><\/a>\u00a0<\/span><\/p>

[5]\u00a0<\/span><\/b>EIA.\u00a0<\/span>2024 Residential Utility Disconnections Report<\/span><\/i>.\u00a0<\/span>https:\/\/www.eia.gov\/analysis\/requests\/residential\/utility\/<\/span><\/a>\u00a0<\/span><\/p>

[6]\u00a0<\/span><\/b>Bluefield Research.\u00a0<\/span>Water Losses Cost U.S. Utilities US$6.4 Billion Annually<\/span><\/i>.\u00a0<\/span>https:\/\/www.bluefieldresearch.com\/ns\/water-losses-cost-u-s-utilities-us6-4-billion-annually\/<\/span><\/a>\u00a0<\/span><\/p>

[7]\u00a0<\/span><\/b>Gartner.\u00a0<\/span>Market Guide for Utility Customer Information Systems<\/span><\/i>\u00a0(2024).\u00a0<\/span>https:\/\/www.gartner.com\/en\/documents\/5487595<\/span><\/a>\u00a0<\/span><\/p>

[8]\u00a0<\/span><\/b>Centric Consulting.\u00a0<\/span>Legacy Application Modernization for Utilities<\/span><\/i>.\u00a0<\/span>https:\/\/centricconsulting.com\/blog\/legacy-application-modernization-for-utilities-how-an-ai-augmented-approach-reduces-an-unseen-risk\/<\/span><\/a>\u00a0<\/span><\/p>

[9]\u00a0<\/span><\/b>AI vs Invisible Revenue Losses.\u00a0<\/span>Deep Dive into Proactive Leakage Detection in Utilities<\/span><\/i>.\u00a0<\/span>https:\/\/www.linkedin.com\/pulse\/ai-vs-invisible-revenue-losses-deep-dive-proactive-leakage-abufadda-ekblf\/<\/span><\/a>\u00a0<\/span><\/p>

[10<\/span><\/b>]\u00a0Guidehouse.\u00a0<\/span>How AI Can Power Seamless Utility CX<\/span><\/i>\u00a0(2026).\u00a0<\/span>https:\/\/guidehouse.com\/insights\/communities-energy-infrastructure\/2026\/ai-power-utility-cx<\/span><\/a>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Utilities are moving beyond reactive collections toward intelligent revenue operations, combining AI, analytics, and automation to prevent revenue loss, improve efficiency, and deliver more customer-centric financial management.<\/p>\n","protected":false},"author":9,"featured_media":48157,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[60],"tags":[],"class_list":["post-48156","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-articles","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"acf":[],"yoast_head":"\nIntelligent Revenue Operations for Utilities | Open Intelligence<\/title>\n<meta name=\"description\" content=\"Discover how intelligent revenue operations help utilities reduce revenue leakage, improve collections, and protect customers with AI-driven insights.\" \/>\n<meta name=\"robots\" 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