ESG reporting frameworks — GHG Protocol, GRI, SASB, CDP, TCFD, and SEC climate disclosure — require organizations to measure, verify, and disclose environmental, social, and governance metrics with increasing rigor. IoT-connected energy meters, fleet telematics, waste sensors, and water meters provide the granular operational data that supports credible, audit-ready ESG disclosure.
ESG reporting has evolved from voluntary best-practice to investor-scrutinized and regulatory-required disclosure. Organizations that relied on estimates and utility bill summaries for prior ESG reports now face stakeholder expectations for metered, verifiable data. RLM advises on the IoT and data infrastructure that produces the operational measurements ESG frameworks require — turning reporting from a compliance exercise into a performance management tool.
A structured advisory process — from use case definition and platform evaluation to deployment architecture and ongoing optimization.
We assess your current ESG data infrastructure against the specific frameworks you report to — identifying which metrics are currently estimated vs. measured, which operational boundaries are missing metering coverage, and the data quality gaps that create disclosure risk.
We design the IoT data collection architecture for ESG metrics — energy submetering, fleet telematics for Scope 1 emissions, refrigerant monitoring, water meters, and waste sensors — integrated into an ESG data platform that consolidates operational data for reporting.
We design measurement approaches for each emissions scope — Scope 1 (direct emissions from owned sources), Scope 2 (purchased electricity), and Scope 3 (value chain emissions) — identifying where IoT measurement is feasible and where estimation methodologies are necessary.
We evaluate and configure ESG reporting platforms — Spherion, Measurabl, Workiva, Watershed, or custom data pipelines — that aggregate IoT data, apply emissions factors, calculate metrics, and produce the disclosures required by your reporting frameworks.
The dimensions that determine whether an IoT deployment delivers lasting operational value — and the questions RLM helps you answer before any commitment.
Investors and regulators increasingly require third-party assurance of ESG data. Evaluate whether your IoT data collection approach produces audit-ready records — timestamped, tamper-evident measurement data with chain of custody documentation.
ESG metrics are defined differently across frameworks (GRI, SASB, CDP). Evaluate the specific metric definitions in your required frameworks before designing the measurement infrastructure — collect what the framework requires, not what's easy to measure.
Not all ESG metrics are equally important to your stakeholders. Evaluate the materiality of different metrics — focusing IoT measurement investment on the issues most important to investors, customers, and regulators.
ESG performance is measured against a baseline year. Evaluate historical data availability for establishing baselines and whether estimated historical data is acceptable for baseline purposes in your reporting frameworks.
The SEC's climate disclosure rules (when final) will require large public companies to disclose Scope 1 and 2 emissions with assurance. Evaluate readiness for mandatory disclosure requirements and the timeline for implementing measurement infrastructure that meets assurance standards.
"RLM helped us select and deploy an IoT platform across 28 facilities in under six months. Their vendor-neutral approach saved us from a costly mistake with our initial shortlist."
"We needed smart metering and energy management across our campus portfolio. RLM mapped the vendor landscape, ran the evaluation, and we're now hitting our ESG targets ahead of schedule."
Talk to an RLM advisor who specializes in enterprise IoT deployments. Independent guidance from platform selection through operational deployment.