How do you implement ESRS requirements into existing reporting processes?

Implementing ESRS requirements into existing reporting processes means mapping the standard’s disclosure requirements against your current data flows, assigning clear ownership across departments, and closing the gaps where your existing frameworks fall short. For most organizations, this is less about starting from scratch and more about restructuring what you already collect. The sections below walk through the most common questions teams face when making that shift.

What are the biggest challenges when integrating ESRS into existing processes?

The biggest challenges when integrating ESRS requirements into existing processes are data fragmentation, unclear ownership, and the sheer breadth of disclosures required across environmental, social, and governance topics. Most organizations already collect some sustainability data, but rarely in the structured, auditable format that ESRS compliance demands.

Here’s where teams tend to encounter the most significant obstacles:

• Data silos across departments: ESG data often resides in separate systems managed by finance, HR, procurement, and operations, with no unified view. Consolidating it for ESRS reporting requires a level of cross-departmental coordination that most organizations have not yet established.
• Scope and materiality uncertainty: Before you can report, you need to determine precisely what you are required to report on. The double materiality assessment (more on that below) is a prerequisite, and many teams underestimate how long it takes to complete rigorously.
• Evolving standards: The ESRS landscape continues to develop. On 3 July 2026, the European Commission adopted revised ESRS that reduce mandatory datapoints by over 60% and cut the total number of datapoints by more than 70%. That represents a substantial change, and the revisions remain subject to a parliamentary scrutiny period before they become final.
• Audit readiness: ESRS-aligned sustainability information will be subject to assurance. That means your data collection processes must be documented, traceable, and consistent — a considerably higher bar than most internal reporting currently meets.

What ties these challenges together is that ESRS implementation is not simply a reporting exercise; it is a process redesign. Organizations that approach it purely as a compliance checkbox tend to encounter greater difficulty than those who treat it as an opportunity to build more robust internal data infrastructure.

Establishing that mindset early makes every subsequent step more manageable — and the most important of those early steps is taking a clear-eyed look at what your organization already collects. The first priority is conducting a thorough inventory of your current data collection practices, identifying which sustainability metrics you already gather, in what format, at what frequency, and under whose ownership. This baseline assessment reveals the distance between where you are and where ESRS requires you to be.

The second step is aligning your existing reporting frameworks with the ESRS structure. If your organization already reports under GRI, TCFD, or CDP, many of the underlying data points are already being collected. A structured gap analysis comparing your current framework outputs against ESRS datapoints will show what can be adapted, what needs reformatting, and where genuine gaps remain — and this analysis is best conducted at the datapoint level rather than the topic level, since high-level thematic overlap can mask specific disclosure requirements that differ significantly in scope or methodology.

The third step is formalizing data governance. ESRS requires that your data collection processes be traceable and consistent year-on-year, which means documenting data sources, calculation methodologies, and the individuals responsible for each input. Organizations that have historically relied on informal data-gathering practices will need to introduce more structured controls, not only to satisfy assurance requirements, but to ensure that the data holds up under scrutiny across reporting cycles.

Finally, it is important to sequence the work correctly. The double materiality assessment must come first, because it determines which ESRS standards apply to your organization — and understanding exactly how that assessment works is what the next section addresses.

How does a double materiality assessment shape your reporting process?

A double materiality assessment (DMA) determines which sustainability topics are material to your organization from two perspectives: the financial impact of sustainability risks on your business, and your business’s impact on people and the environment. The outcome of the DMA directly defines which ESRS disclosure requirements apply to you, making it the foundation of your entire reporting process.

Under ESRS, you are not required to report on every topic in the standard — instead, the DMA functions as a filter. If a topic is not material under either lens, you can generally omit it, though you may need to explain why. This is what makes the DMA so consequential: conducted rigorously, it focuses your reporting effort where it genuinely matters, while a poorly conducted one either results in over-reporting on irrelevant topics or causes you to omit disclosures you are actually required to make.

In practice, running a DMA involves engaging stakeholders across your value chain, reviewing financial data for ESG-linked risks, and assessing actual or potential impacts on communities, ecosystems, and workers. The revised ESRS guidance has also updated how gross versus net impacts are assessed, particularly around whether remediation and prevention actions should be factored in before or after determining materiality — a distinction worth understanding before you begin, because it affects which topics fall within scope.

Once your DMA is complete, it becomes the backbone of your reporting structure, and every disclosure you make should be traceable to a material topic identified in the assessment. That traceability is also what assurance providers will examine when reviewing your sustainability statement. It is also what makes the next question so practical: if your organization already reports under GRI, TCFD, or CDP, you may find that a significant portion of that traceability work is already done.

Which ESRS disclosure requirements overlap with GRI, TCFD, or CDP?

ESRS disclosure requirements overlap substantially with GRI, and to a meaningful extent with TCFD and CDP. If your organization already reports against any of these frameworks, you are not starting from zero — the overlaps are sufficiently significant that existing disclosures can often be adapted rather than rebuilt from scratch.

The GRI connection is the most substantial. ESRS was developed with interoperability in mind, and many of the topic-specific standards share conceptual alignment with GRI’s thematic modules. The structure differs, and ESRS uses its own terminology and datapoint logic, but organizations with established GRI reporting practices will recognize the underlying intent across environmental, social, and governance disclosures.

TCFD alignment is strongest in the climate-related disclosures under ESRS E1. The four pillars of TCFD — governance, strategy, risk management, and metrics and targets — map reasonably well onto ESRS E1’s structure, and if you have already developed scenario analysis or transition planning processes for TCFD, much of that work carries over. Note, however, that the Omnibus I directive removed the obligation to establish and implement a climate transition plan from the CSRD, which adjusts the picture for organizations that were preparing one primarily for compliance purposes.

CDP reporting, particularly for climate and water, generates data that can feed directly into ESRS E1 and E3 disclosures. CDP questionnaires are detailed and quantitative, and the data collected for them — Scope 1, 2, and 3 emissions, water consumption, governance structures — is precisely what ESRS requires, even if the formats differ.

The practical takeaway is that a gap analysis comparing your existing framework outputs against ESRS datapoints is a valuable early step, clarifying what you already have, what requires reformatting, and where genuine gaps exist. Closing those gaps, however, depends on something that no tool or framework can substitute for: clear internal ownership of the data itself.

How do you assign ESRS reporting responsibilities across departments?

Assigning ESRS reporting responsibilities across departments works best when you map each disclosure requirement to the team that owns the underlying data, then establish a central coordination function to consolidate and quality-check all inputs. ESRS reporting is inherently cross-functional, and no single team can manage it in isolation.

A practical approach is to begin with the material topics identified in your DMA and work backwards to the relevant data owners. For example:

• Finance: Owns financial materiality inputs, climate-related financial risks, and any metrics tied to revenue or capital expenditure, such as EU Taxonomy alignment figures.
• HR and People teams: Own social disclosures related to workforce composition, pay equity, working conditions, and employee engagement data required under ESRS S1.
• Procurement and supply chain: Own value chain data, including supplier assessments relevant to ESRS S2 (workers in the value chain) and due diligence processes.
• Operations and facilities: Own environmental data such as energy consumption, emissions, waste, and water use across company sites.
• Legal and compliance: Own governance disclosures, risk management frameworks, and any regulatory exposure relevant to ESRS G1.

The coordination function — typically a sustainability manager or a dedicated reporting lead — ties all of this together, setting timelines, defining data formats, following up on outstanding inputs, and ensuring the final sustainability statement is coherent and auditable. Defining ownership clearly before the reporting cycle begins is what separates a well-managed process from a reactive one.

Once ownership is established, the next practical question is what systems those owners should use to capture and submit their data reliably.

What tools and systems support ESRS data collection?

ESRS data collection is supported by a range of tools, from dedicated ESG reporting software to adapted ERP systems, structured spreadsheet environments, and carbon accounting platforms. The most appropriate choice depends on your organization’s size, the complexity of your material topics, and the maturity of your existing data infrastructure.

Purpose-built ESG reporting platforms are designed to handle the structured datapoint logic that ESRS requires, typically offering templates mapped to specific ESRS standards, workflow management for multi-department input, and audit trails that satisfy assurance requirements. For organizations with a broad set of material topics and multiple data owners, these platforms reduce a significant volume of manual coordination work.

For organizations earlier in their ESRS journey, or those with a narrower set of material disclosures following their DMA, a well-structured spreadsheet environment with clear version control can remain viable. The risk is that it becomes increasingly difficult to maintain as the number of datapoints grows, and demonstrating a reliable audit trail becomes more challenging.

Carbon accounting tools are particularly relevant for the environmental standards, especially ESRS E1. If you are already using a platform to calculate Scope 1, 2, and 3 emissions for CDP reporting or internal tracking, that data can feed directly into ESRS E1 disclosures — provided the calculation methodology is documented and consistent with what ESRS specifies.

Whatever tools you use, your data collection system must produce outputs that are traceable, consistent year-on-year, and capable of withstanding review by an external assurance provider. Selecting tools with that end requirement in mind avoids considerable retrofitting later — and for many organizations, it also raises the question of whether internal resources alone are sufficient to get the setup right.

When should you bring in external expertise for ESRS compliance?

You should bring in external expertise for ESRS compliance when your internal team lacks specific knowledge of the standard, when the double materiality assessment requires structured facilitation, or when you are approaching your first reporting cycle and need to build processes from the ground up. External specialists are also valuable when your organization’s material topics span technically complex areas such as biodiversity, human rights in supply chains, or EU Taxonomy alignment.

It is worth being precise about the type of expertise you actually need, because sustainability consultants are highly specialized and the right fit depends on your specific gap. A CSRD reporting specialist can help you navigate the ESRS structure, facilitate your DMA, and develop your disclosure framework, while a Scope 3 emissions specialist addresses the measurement and methodology side of climate disclosures — these are distinct skill sets, and engaging the wrong type of expert for your particular challenge wastes both time and budget.

External support tends to deliver the greatest value at three specific points: at the outset when you are scoping your DMA, midway through when you are translating material topics into datapoints and data collection workflows, and immediately before submission when an independent review can identify gaps or inconsistencies before your assurance provider does. Continuous external involvement throughout the process is not always necessary, but those three points are where specialist knowledge reliably justifies the investment.

Get matched with the right ESRS expert, fast

ESRS implementation is genuinely complex, and the right external support at the right moment can make a significant difference to both the quality of your reporting and the volume of internal time you invest in it. At Dazzle, we match organizations with pre-screened sustainability freelancers who specialize in exactly the kind of work described above, whether that’s running a double materiality assessment, building your data collection framework, or reviewing your sustainability statement before submission.

Our network includes over 150 sustainability experts available on a project or interim basis, and we can connect you with the right specialist within 48 hours. No lengthy procurement processes, no generalist consultancies charging for expertise they don’t have. Just the right person for your specific ESRS challenge, when you need them. Reach out to our team and tell us what you’re working on. We’ll take it from there.