Turning sustainability strategy into ROI

Editor’s note: This is a narrative version of an Optimistic Outlook podcast episode, “The Sustainability Trap: Why Investment Is Rising but Impact Isn't”—a conversation between Erica Call, Head of U.S. Sustainability Consulting and Energy Services, Siemens, and Luca De Ferrari, Head of Americas Sales Risk and Compliance Software, UL Solutions, a global safety science leader. It explains why execution challenges—not strategy—prevent sustainability investments from delivering measurable impact and how this can be overcome.

If you've been following sustainability coverage lately, you'd see that corporate investment in sustainability initiatives continues to rise. Companies announce ambitious net-zero commitments, sustainability officers gain C-suite visibility, and ESG reporting becomes standard practice.

Yet a disconnect persists between investment and impact. A few years ago, sustainability often lived in reporting and reputation. Today, it's increasingly treated as a performance agenda. Companies want to connect sustainability to cost, resilience, and competitiveness, making it a business driver rather than a compliance matter. But many still struggle to see real business impact from their investments.

The challenge isn't in setting goals or developing strategies. As Luca De Ferrari, Head of Americas Sales Risk and Compliance Software at UL Solutions, points out in a recent Optimistic Outlook podcast, the fundamental issue holding back companies is execution. Fragmented data, unclear ownership, and inconsistent methodologies represent barriers that prevent organizations from unlocking sustainability's full potential.

“UL Solutions research captures that tension,” De Ferrari said on the podcast, “where you see many executives that do want to increase sustainability investment, but only a minority of these have accomplished high impact.”

At Siemens, we've been working to bridge this execution gap—for ourselves and our customers. Through our collaboration with UL Solutions and our work with commercial and industrial clients, we're seeing what separates sustainability aspiration from measurable business value.

The difference comes down to treating sustainability like a business system—one with governed data, clear accountability, and assurance that stakeholders can trust. Success hinges on three key aspects: Why execution is the real sustainability challenge. What role trusted data plays in accelerating impact. And how AI is changing the speed at which companies can make sustainability decisions.

The sustainability-ROI gap

The gap between sustainability investment and high impact isn't about lack of commitment or insufficient funding. Organizational leaders want to see the economics of sustainability, and organizations want sustainability decisions made with the same rigor as financial or operational decisions.

What's driving this shift? Energy volatility, grid constraints, market-access requirements, regulatory pressure, and the push to turn sustainability into measurable business value. Companies that will breakthrough are the ones that treat sustainability differently. They don't approach it as a separate initiative managed by a specialized team. Instead, they “really treat sustainability like a business system,” according to DeFerrrari, “one where you have governed data, clear accountability on who owns the data and who does what in an organization, and then also assurance so that the stakeholders involved can actually trust the data, and, most importantly, trust the outcomes of this data.”

Without these elements in place, sustainability remains aspirational rather than operational. Organizations continue investing, but struggle to demonstrate the cost savings, resilience improvements, or competitive advantages they expected. The ROI gap persists—not because sustainability doesn't deliver value, but because execution infrastructure doesn't exist to capture and prove that value systematically.

Why execution, not strategy, is the problem

Most organizations don't have a single sustainability data problem. They have a data supply chain problem. Data doesn't sit in one system. It's scattered across departments, formats, and platforms. Some departments track required data on spreadsheets. Others use databases. Some data sits in ERP systems. Some in emissions-reporting solutions. These silos create a time-consuming, expensive challenge when organizations need to aggregate data for decision-making.

The second problem is granularity and frequency. Is the data detailed enough to support the level of reporting and decision-making the organization requires? When energy data from facilities isn't normalized by production volume, claims about energy savings or optimization get questioned by executive leadership and external stakeholders who want proof that data has been verified and represents real progress.

The trust issue compounds these technical challenges. Without consistent methodologies and audit trails, business leaders and sustainability leaders struggle to rely on the data. Consider what happens when companies request product carbon-footprint data from suppliers: Data may not arrive, arrives late, or is inconsistent across suppliers—making product footprint claims very difficult.

“As companies get better data,” Erica Call, Head of U.S. Sustainability Consulting and Energy Services, Siemens, said on the podcast, “being able to centralize that data across an organization’s entire enterprise with a consistent format of data capture and then being able to validate and verify that data from a trust standpoint are the two pivotal pieces of reliability.”

When organizations can trust the data, the question changes from "Is this accurate?" to "What do we do about it?"

Better data creates a shared baseline across departments. Teams stop debating methodology and start prioritizing actions. It enables scenario planning, investment comparison, and performance tracking over time. Once metrics become auditable and decision-grade, organizations can see broader executive ownership driving sustainability initiatives forward.

The role of trusted sustainability data

At Siemens, we're enabling ourselves and many of our customers to collect data—moving from understanding cost, consumption, and carbon to actually transitioning toward more sustainable operations. This transition requires balancing resiliency to keep operations ready during grid constraints and rising energy prices, while meeting growing product demand.

Our collaboration with UL Solutions helps bridge this gap across customers and industries to accelerate sustainability for everyone. Working with commercial and industrial clients we’re seeing a significant shift. While many companies have strategies, collected data, and established targets they also have 2030 commitments less than four years out. They're coming to Siemens asking how we can help them achieve 50-percent reduction or reach net zero quickly while balancing budget constraints.

We approach this through “Total Energy Management (TEM),” as Call describes it on the podcast: implementing efficiency projects within sites, on-site generation, and smart buildings that go beyond basic controls. We implement technologies that constantly optimize building performance, reducing consumption footprint to support both decarbonization commitments and financial objectives—reducing facility operating costs while ensuring operational readiness.

“Leveraging as-a-service contracting mechanisms has been a significant enabler,” Call said. “Companies get projects implemented and spread costs over five-, seven-, ten-, or fifteen-year service arrangements. They receive immediate benefits from project implementation plus value-added services supporting operational readiness daily. This approach enables transitioning from strategy to action.”

The data foundation makes this transition possible. When companies centralize data with consistent formats and validate it for trustworthiness, they gain the capability to optimize in real-time. They can make decisions about arbitraging between on-site assets—determining whether to pull from battery storage, solar arrays on rooftops and parking lots, or grid power based on real-time pricing and operational needs. This level of consulting coupled with technological advancement allows organizations to operate with readiness while securing energy at the lowest possible cost.

Energy costs, resilience & real business value

The convergence of energy volatility, grid constraints, and climate commitments is changing how our partners and customers think about resilience. We're seeing growing need for on-site generation coupled with battery storage—but implemented intelligently. The question becomes: What's the cost of energy from the grid versus arbitraging between on-site assets? Companies need to optimize decisions about pulling from battery storage or solar arrays based on real-time economics. With technological advancements and market expertise about real-time pricing, we can optimize how sites maintain operational readiness while securing energy at the lowest cost for a specific operating day.

When customers get this right—balancing cost savings, resilience, and decarbonization—these elements reinforce each other. Companies can prove business cases for initiatives, then reinvest savings into additional sustainability projects. Resilience reduces downtime and protects margins when energy markets or supply chains become unstable. Credible decarbonization strengthens customer trust, supports access to new markets, and protects brand and product claims.

The result: Organizations can make faster, more confident decisions. Sustainability decisions can happen at the speed of any other business decision—but only when data is trusted and assured. Without trusted data, it's difficult for leaders to rely on sustainability information for decision-making. Trusted data becomes a competitive advantage, “helping achieve lower operating costs, lower risk, and stronger brand reputation in the market,” De Ferrari said in the podcast.

Organizations that build this data foundation position themselves to capture multiple value streams simultaneously: immediate cost reduction through energy optimization, operational resilience through diversified generation and storage, and credible progress toward decarbonization commitments that stakeholders can verify. The business case strengthens as these benefits compound; each dollar saved on energy costs becomes capital available for resilience investments, and each resilience improvement reduces risk exposure that would otherwise increase insurance and operational costs.

How AI is changing sustainability decision-making

We're seeing sustainability mature from aspiration into real execution. What makes this moment particularly significant is that AI is changing what's possible. AI allows companies to move beyond manual data collection and backward-looking reports toward real-time insights and action. Leaders will use AI to improve data quality, automate validation, and enable prescriptive decision-making, not just generate reports. We expect leaders will embed AI into core workflows: energy optimization, supply chain risk management, product design, and compliance readiness. Sustainability decisions can happen at the same speed as all other business decisions.

This represents a fundamental shift in how organizations operate. Previously, sustainability reporting followed quarterly or annual cycles. Data collection was manual, validation time-consuming, and analysis retrospective. By the time organizations understood their performance, various opportunities to optimize had passed. AI changes this dynamic by enabling continuous monitoring, automated validation, and predictive insights. Systems can identify efficiency opportunities in real-time, recommend specific actions based on current conditions, and validate outcomes against established baselines—all without manual intervention.

Right now is “a really exciting time to be part of the sustainability and decarbonization journey,” Call said, because it aligns with what Siemens is seeing in our own work and with customers.

“Over the next few years, the highest performing organizations won't just set goals,” De Ferrari said. “They'll establish the technology foundation to achieve these goals rapidly and improve progress credibly.”

That distinction—between setting ambitious targets and building execution infrastructure—will determine which organizations deliver measurable impact from their sustainability investments.

We must move from investment to impact

The sustainability trap closes when companies recognize that execution infrastructure matters as much as strategic commitment. For organizations ready to move from aspiration to measurable business value, the path forward requires three elements: data systems that create trusted, decision-grade information; clear ownership and governance that assigns accountability; and AI-enabled workflows that accelerate insights and actions. Companies that build these foundations will demonstrate the ROI that sustainability has always promised but execution gaps have prevented many from capturing.

Siemens has done this work to build sustainability execution infrastructure—for ourselves and our customers—and we're continuing to advance these capabilities. Organizations struggling with the sustainability ROI gap often discover the challenge isn't their strategy or funding. It's the execution infrastructure required to capture, validate, and act on sustainability data at business speed.

We’re working with industrial and commercial customers facing 2030 commitments that are now less than four years away. Through our collaboration with UL Solutions and our Total Energy Management approach, we're helping organizations accelerate from strategy to action—implementing projects that deliver immediate cost savings, building resilience through intelligent energy systems, and establishing the data foundations that make sustainability decisions as rigorous as financial decisions.

The window to build this execution capability is now. Energy markets remain volatile, grid constraints continue intensifying, and stakeholders increasingly expect credible progress. Companies that establish trusted data infrastructure, clear governance, and AI-enabled decision making will separate themselves from competitors still trapped between sustainability investment and impact.

If your organization is ready to move beyond sustainability aspiration toward measurable business outcomes, we invite you to explore how Siemens approaches Total Energy Management and sustainability execution. The path from investment to impact requires more than commitment—it requires infrastructure that turns sustainability data into business value.

Published: April 21, 2026