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One Source of Truth: Why ESG and EHS Data Are Still Broken Across Most Enterprises

  • Last Updated: Nov 05, 2026
  • 10 min read

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One Source of Truth: Why ESG and EHS Data Are Still Broken Across Most Enterprises

It’s the corporate sustainability reporting directive (CSRD) reporting season. You’ve been here before, haven’t you? Scope 1 emissions data is sitting in the environmental, health, and safety (EHS) system. Scope 2 is somewhere in facilities management’s domain. Scope 3? Oh, that’s buried in an endless spreadsheet from procurement. And then there’s the finance team—they’re working from their own model, which, as far as anyone can tell, wasn’t built by anyone still on the team. It’s chaos, and you’re left piecing it all together with email chains, late-night calls, and way too much coffee. The truth is, this isn’t just a technology problem. It’s an architecture problem. And most enterprises are still trying to solve it with duct tape and spreadsheets. Having spent years advising enterprises at enterprise risk management (ERM) and in the Big 4 advisory world, I’ve seen this play out time and again—different industries, different tools, but the same underlying challenge. The data problem is the problem. Everything else—strategy, compliance, disclosures—flows downstream from it. Let’s dive into why things are still broken and what it’s going to take to fix them.

Where ESG and EHS Data Actually Lives

If you’ve ever tried to map out where environmental, social, and governance (ESG) and EHS data reside in an enterprise, you’ll know it’s a labyrinth. Here’s a snapshot of the typical setup:

  • EHS platforms like Intelex, Cority, or Enablon handle incident data, emissions tracking, and compliance reporting.
  • Greenhouse Gas (GHG) accounting tools manage carbon emissions calculations.
  • Sustainability reporting platforms—sometimes two or three different ones—prepare disclosures for frameworks like CSRD, Task Force on Climate-Related Financial Disclosures (TCFD), or global reporting initiative (GRI).
  • Finance ERP systems like SAP or Oracle hold cost and investment data related to ESG initiatives.
  • Procurement platforms track supplier sustainability metrics and Scope 3 emissions.
  • Supply chain risk tools assess vulnerabilities related to ESG factors.

Each of these systems is owned by a different department, runs on a different release cycle, and operates with a different data model. None of them talks to each other natively. The result? Silos everywhere. The seam between ESG and EHS is where the most value—and the most risk—sits unmanaged. For example, incident data from EHS platforms often doesn’t make its way into ESG materiality assessments. Supply chain data is rarely integrated into social or governance disclosures. And don’t even get me started on HR and legal data—it’s often lumped into the “we’ll figure it out later” bucket. In my experience, the average enterprise has between four and seven systems holding material ESG/EHS data. Not one of those systems talks to another seamlessly. The result? A fragmented landscape that makes accurate, timely reporting nearly impossible.

Why This Hasn’t Been Fixed

You’re probably wondering: if this is such a widespread problem, why hasn’t anyone solved it? Well, they’ve tried. But the solutions haven’t lived up to the promise. Here are the three waves of attempted fixes I’ve seen over the years:

  1. ERP Bolt-Ons
    Big players like SAP and Oracle introduced ESG modules to their ERP systems. These were marketed as all-in-one solutions, but the reality was far less rosy. Implementation was expensive and time-consuming, and they still didn’t integrate seamlessly with EHS platforms or sustainability tools.
  2. Point SaaS Tools
    The SaaS boom brought a wave of ESG reporting These tools promised to layer on top of existing systems and streamline reporting. Instead, they created new silos. Now, instead of reconciling data across five systems, you’re reconciling across six.
  3. Consultancy-Led Spreadsheet Consolidation
    When all else failed, enterprises turned to consultants to manually consolidate data into spreadsheets for reporting cycles. This approach works—for a while. But by the next cycle, the spreadsheets are outdated, the logic is broken, and you’re back to square one.

Ironically, the proliferation of SaaS tools over the last five years has made things worse. More tools mean more contracts, more vendor lock-in, and more disconnected data. Meanwhile, regulatory pressure from frameworks such as the CSRD, the UK sustainability disclosure requirements (SDR), and the Taskforce on Nature-related Financial Disclosures (TNFD) is outpacing most integration roadmaps. The result? Enterprises are stuck in a reactive mode, constantly playing catch-up instead of building a sustainable, scalable data ecosystem.

What “Broken” Actually Costs

Let’s talk about what this fragmentation is really costing your enterprise. Because this isn’t just an inconvenience—it’s a drain on your resources, your reputation, and your ability to act strategically.

  1. The Manual Tax
    How much time does your team spend every quarter chasing down data, reconciling numbers, and validating reports? For most enterprises, it’s hundreds of hours. That’s time that could be spent analyzing data, driving strategy, or preparing for what’s next.
  2. Audit Preparation Nightmares
    When auditors come knocking, they don’t just want the final numbers—they want to see the data lineage. They want to know where each number came from, how it was calculated, and who approved it. For most teams, providing that level of transparency is a Herculean effort.
  3. Regulatory Risk
    The risk isn’t just financial fines; it’s the inability to demonstrate Regulators and investors are increasingly demanding transparency—not just in what you’re reporting, but in how you’re reporting it. If you can’t show your work, you’re at risk.
  4. Missed Opportunities
    EHS incident data that doesn’t feed into ESG assessments. Near-miss data that never informs risk mitigation strategies. Unused data is wasted potential—and in today’s landscape, that’s a cost no enterprise can afford.

The conversations I’ve had with sustainability directors across sectors consistently surface the same frustration: The data exists. The problem is getting it to the right place, in the right form, at the right time.

When Climate Events Multiply the Pressure

The summer of 2026 has underscored the urgency of ESG compliance. Wildfires swept through southern France and Spain, marking the third consecutive extreme heat event in the region. These fires displaced over 300,000 people across the Gironde and Madrid regions and burned land well above the decade average for the third year in a row. For companies with operations, supply chains, or physical assets in affected regions, this posed a critical question: What are our TNFD physical risk disclosures, and do we have the data to support them? For most enterprises, the honest answer was no. As regulatory frameworks such as TNFD demand more detailed disclosures of physical and transitional risks, the lack of integrated data systems poses a significant liability. Each new framework, climate event, or enforcement cycle adds to what experts call “reporting debt”—the growing gap between regulatory obligations and the infrastructure to meet them.

Zero License: A smarter path to ESG transformation

Unifying disparate data, ensuring traceability, and delivering outcomes over tools.

The Zero License model introduced by Hexaware aligns seamlessly with the challenges outlined in the blog, particularly in addressing the fragmented and siloed nature of ESG and EHS data systems. Traditional ESG platforms and SaaS tools often exacerbate the problem by adding layers of complexity and locking enterprises into per-seat or per-module licensing models that restrict data access and collaboration. The Zero License approach shifts the focus from managing tools to achieving outcomes by introducing an AI-enabled integration layer that eliminates licensing friction, traces data lineage, and reconciles inconsistencies across systems. This model not only simplifies the technology landscape but also empowers enterprises to meet accelerating regulatory demands, such as CSRD and UK SDR, with greater efficiency and confidence. By removing the manual tax of reconciling disparate data sources and enabling seamless integration, Zero License provides a structural advantage for enterprises striving to achieve a unified “one source of truth” for sustainability reporting.

What a Fix Actually Looks Like

Here’s the good news: this problem can be fixed. But the solution isn’t another platform. It’s a data layer—a memory fabric—that sits across your existing systems and enables true integration. Here’s what that looks like:

  1. Full Data Lineage
    An AI-enabled integration layer traces data from its source system all the way to the final disclosure output. This isn’t just about compliance—it’s about giving your team confidence in the numbers they’re reporting.
  2. Proactive Anomaly Detection
    AI can flag inconsistencies and anomalies beforethey make it into your reports. That means fewer last-minute scrambles and more reliable data.
  3. Zero License Friction
    Traditional ESG platforms charge by user and module, which means access to data is often rationed. An AI-native integration layer removes those barriers, making data accessible to everyone who needs it.
  4. SaaS Done Smarter
    AI’s real contribution to ESG isn’t the chatbot on top—it’s the tracing, reconciliation, and pattern-matching underneath. This is where the technology shines, and it’s what will enable enterprises to move from reactive to proactive ESG management.

Enterprises that solve this within the next 18 months will have a structural advantage. They’ll be faster, more transparent, and better positioned to navigate an increasingly complex regulatory landscape. Those that don’t? They’ll still be chasing their EHS manager for a spreadsheet the night before a board disclosure.

Let’s Fix This Together

At Hexaware, we’re building exactly this kind of integration layer with Zero License. Whether it’s tackling ESG and EHS data silos, integrating AI into reporting, or preparing for CSRD, we’re here to help you build a data architecture that works—not just for this reporting season, but for the long haul. Empower your team. Eliminate the manual tax. And take control of your ESG and EHS data. You’ve got this—and we’re here to help. If this mirrors your experience, let’s talk.

Frequently Asked Questions

It connects disparate systems—EHS platforms, GHG tools, ERPs, and procurement data—into one unified, auditable source of truth for environmental, social, and governance reporting.

 

Siloed data prevents full lineage tracking, making it impossible to demonstrate how disclosure numbers were derived, increasing regulatory non-compliance and audit exposure.

AI traces data lineage from source to disclosure, flags anomalies before reporting, and automates reconciliation across fragmented EHS and ESG systems.

 

It eliminates per-user and per-module fees on ESG platforms, removing budget-gated access so all teams can contribute and consume data freely.

By removing licensing barriers, enterprises avoid rationed data access, reduce analyst reconciliation time, and lower the total cost of compliance and disclosure.

 

Author

Saurabh Agarwal

Saurabh Agarwal

Associate Vice President, Business Development

Saurabh Agarwal is a sustainability and AI transformation specialist at Hexaware Technologies. Previously a Partner at ERM (Environmental Resources Management) and a senior adviser in Big 4 practice, he has led ESG strategy, disclosure architecture, and AI-enabled transformation programs for major European and global enterprises. His work spans ESG data integration, CSRD readiness, EHS technology strategy, product regulatory compliance, and the AI-native architecture that underpins modern sustainability reporting across the UK and European markets.

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