Verdantix 2026 Smart Innovators: Utility Customer Platforms

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Gartner® Market Guide for Utility CIS 2025

CIS vs. MDM: Why Every Utility Now Needs a CIS With Unified MDM Capabilities

For years, utilities faced a binary choice of keeping a legacy Customer Information System (CIS) and bolting on a separate Meter Data Management (MDM) platform, or betting on a next-generation CIS built to absorb metering intelligence from the start. Picture that legacy setup as two neighbors sharing a wall: close enough to pass information back and forth, but each with its own room, its own rules, and its own version of the truth.


For years, utilities faced a binary choice of keeping a legacy Customer Information System (CIS) and bolting on a separate Meter Data Management (MDM) platform, or betting on a next-generation CIS built to absorb metering intelligence from the start. Picture that legacy setup as two neighbors sharing a wall: close enough to pass information back and forth, but each with its own room, its own rules, and its own version of the truth.

Today, given how far grid architecture has evolved, that choice is no longer optional. A CIS that treats meter data as an external feed it merely imports is no longer good enough. It must be built with MDM capability inside it, natively, from day one in the same room, not next door.

Most architecture conversations happening in utility boardrooms right now are still debating whether to interface a modern MDM with a legacy CIS, or the reverse, as if the two systems were permanently destined to be separate tenants negotiating a lease. Meanwhile, the market itself, vendors, analysts, and the fastest-moving utilities, has quietly moved past that framing, toward platforms where metering intelligence isn’t a neighbor to customer and billing data. It’s part of the same room.

That distinction matters in practice, not just in theory. An interfaced architecture, where CIS and MDM are separate products connected through batch integrations or APIs, introduces latency, duplicated validation logic, and reconciliation errors whenever billing, DER settlement, and grid analytics all need to draw from the same trusted, real-time dataset.

A CIS with MDM natively built in removes that friction. It becomes one system of record for consumption, generation, quality, and billing data, validated once and consumed everywhere it’s needed, like customer care, billing, regulatory reporting, DER settlement, and outage response.


What Changed?

Legacy CIS and MDM architectures were built on the assumption that meters generate interval reads every 15 minutes, a large but manageable volume, used mostly for billing accuracy. AMI 2.0 architectures, now standard in new deployments across multiple regions, generate up to 1,440 data points per meter per day, incorporating power quality signals, outage detection, and bidirectional flow data from rooftop solar and batteries.

That’s not an incremental increase. It’s a different category of data, arriving closer to real time, and useful for far more than issuing a bill.

Three forces are reshaping the requirements on any system that touches this data:

  • Distributed energy resources: Until recently, bidirectional energy flow was a footnote. Today it’s the single biggest driver of MDM investment, because a utility now must validate, settle, and bill for energy flowing in both directions, often from thousands of small, independently owned assets.
  • AI-driven data processing: Validation, Estimation, and Editing (VEE) of meter reads, along with non-technical loss and fraud detection, has moved from manual review to machine-learning models running continuously at the edge and in the cloud.
  • Regulatory urgency, not architectural preference: In most regions, the driver behind metering investment is compliance and market participation, not a discretionary IT modernization project.


What This Looks Like on the Ground

The pressure is regional, and it doesn’t look the same twice. Same problem, three very different clocks.

Region Regulatory drivers Where deployment stands What it demands
Latin America
CREG mandates AMI for distributed generation; Colombia’s SIC technical requirements enforceable since January 5, 2026; national target of 75% AMI penetration by 2030
Early-stage deployment (Colombia at 3.9%); regional installed base projected to grow from 22.1 million meters in 2025 to 61.3 million by 2030
Architecture built for scale and compliance from the ground up, no legacy debt to unwind, but no room for a fragmented rollout either
North America
No single federal mandate; DER interconnection rules (DOE, FERC, PJM) require near-real-time telemetry from aggregated resources
Mature, largely a replacement market, over 140 million advanced meters already installed, 64%+ penetration
Modernizing legacy MDM to support DER aggregation, market settlement, and AI-driven analytics without disrupting live billing operations
EMEA
EU proposal targets 50% smart-meter penetration by 2030 and 75% by 2033; national mandates vary sharply, from Gulf states already at 100% to lagging EU members
Bimodal: parts of Europe above 80% penetration while others remain far behind; Middle East and Africa scaling rapidly through greenfield national programs
Two coexisting needs, supporting mature, high-volume markets and standing up entirely new AMI programs, often within the same corporate group

Different clocks, different starting lines, but the same question lands on every one of these desks: is the system managing this data built for what it’s now being asked to do, or for what it was asked to do a decade ago?

The Cost of Waiting

None of this is theoretical for the leadership team that needs to answer to a board or a regulator next quarter. Every month spent running metering and billing as separate systems is a month of manual reconciliation between customer care, finance, and regulatory reporting teams and a month of exposure if an auditor or a market operator asks for granular data on short notice.

In Latin America, missing an AMI mandate deadline can mean regulatory penalties and lost eligibility for distributed-generation programs. In North America, an aggregator that can’t deliver telemetry within the required window risks losing market access altogether. In EMEA, a utility that can’t reconcile two different metering eras under one balance sheet risks misreporting consumption data across jurisdictions with different compliance calendars. This is no longer a hypothetical architecture debate; it’s a live commercial and regulatory risk.

What’s Actually Worth Asking

Before your next architecture review, it might be worth reframing the conversation your leadership team is having:

  • Can your current system validate, estimate, and correct meter data in near real time, or does it still rely on batch processes designed for fifteen-minute intervals?
  • If a residential customer becomes a net energy exporter tomorrow, could your billing operation settle that transaction without a manual workaround?
  • Is your compliance posture built around the specific metrological requirements of your jurisdiction today, or the requirements that existed when your system was first implemented?
  • Can your data architecture scale to the volume AMI 2.0 devices are already producing, or is it still tuned for AMI 1.0 assumptions?
  • When a regulator, an auditor, or a new market participant asks for granular metering data on short notice, how many systems does someone have to reconcile before you can answer?

If more than one of those questions gave you pause, that’s not a hardware problem; it’s an architecture conversation that’s overdue.


The Solution: A Unified Customer Operations Platform

Faced with this landscape, more utilities are moving away from interfaced architectures altogether and toward a unified customer operations model. Instead of running a CIS and an MDM as two systems held together by integrations, this approach treats metering, billing, customer service, and field operations as a single data domain from the start. It requires utilities to rethink how meter data, billing, customer experience, and workforce operations connect across the organization, rather than simply routing data from one system into another.

Open enables this approach through Smartflex, a platform built specifically for utilities. Smartflex extends a CIS core across three dimensions: Meter Data Management, Digital Customer Experience, and Mobile Workforce Management, on a single data model. Smart meter volumes, validation, estimation, and editing (VEE) processes, bidirectional consumption data, and traditional meter reads are managed natively inside the same platform that handles billing and customer service, rather than through a separate application that must be reconciled after the fact.

From Interfacing to Unifying

Metering modernization can no longer rely on a decade-old assumption that customer, billing, and metering data can live in separate systems and be reconciled after. Replacing fragmented, interfaced architectures with a unified platform doesn’t just prepare utilities for smart metering growth; it strengthens regulatory compliance, improves data accuracy, and gives operations and finance teams a single, trustworthy view of the meter-to-cash cycle.

The question utility leaders should be asking today isn’t whether metering data needs a more strategic role in their operations. It’s whether their current technology architecture has native connectivity, data accuracy, and analytical capabilities required to meet what’s coming next. A unified platform is the direction the industry is already moving in, region by region, as it shifts from managing meter data as a back-office input to treating it as the operational backbone it has become.

Ready to see what a unified CIS and MDM architecture looks like for your utility?

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The Unified Customer Operations Platform

Smartflex is a unified customer operations platform for energy, water, gas, and telecommunications providers. It connects customer information, billing, self-service, meter data, and field operations in one platform, helping utilities simplify complexity, improve efficiency, and deliver better customer experiences. With embedded AI and native integration, Smartflex enables smarter operations, faster service, and long-term business agility.

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