ESG Practitioners Under Pressure: The Hidden Crisis Inside Corporate Sustainability Teams

Ask someone in an ESG reporting role how they produce their annual sustainability data and the answer is often a variation of the same story: emails to dozens of colleagues, spreadsheets stitched together by hand, weeks of reconciliation before anything goes to a reviewer. The systems built for financial reporting have matured over decades. ESG reporting infrastructure, for most companies, is still in its infancy.

The Scale of the Problem

Survey data from ESG practitioners paints a striking picture. The majority of sustainability professionals spend significant time collecting and consolidating data from across their organizations — a process that is, for most, still largely manual. Spreadsheets remain the dominant tool for ESG data management even at large companies with mature sustainability programs.

This is not simply an efficiency problem. Manual, spreadsheet-based workflows are inherently error-prone. When data passes through many hands before being entered into a master document, errors compound. When methodologies aren't documented, they can shift between reporting periods. When there is no audit trail, assurance providers face significant friction — and so do the companies seeking to demonstrate data integrity.

The Confidence Deficit

Perhaps the most telling finding from practitioner surveys is the gap between the confidence ESG teams project externally and the confidence they actually feel internally. Companies publish polished reports with professional photography and bold commitments. Behind the scenes, the teams responsible for producing those reports often have significant doubts about the reliability of the underlying data.

"This isn't a character flaw — it's a systems problem. When your carbon emissions figure is assembled from twelve different business units, the uncertainty is structural."

The risk is real. As mandatory reporting and third-party assurance requirements spread, the gap between the polish of the public report and the state of the underlying data becomes a liability. Companies that haven't invested in robust data management processes are building on sand.

What Practitioners Actually Need

When sustainability teams are asked what would most improve their work, three themes emerge consistently. First: integrated data collection tools that pull from existing systems — HR software, energy management platforms, procurement systems — rather than requiring parallel manual collection. Second: clear internal accountability structures so that the right people in the right business units own their data inputs. Third: better alignment between what regulations require and what internal metrics the business already tracks.

That third point is underappreciated. A company that has spent years tracking operational efficiency for financial reasons often has a great deal of the underlying data that would serve ESG reporting — it just hasn't been mapped to the relevant frameworks and indicators. Unlocking that existing data is frequently faster and cheaper than building new collection processes from scratch.

The Regulatory Ratchet

For practitioners, the timing couldn't be more challenging. Just as the sophistication and volume of required disclosures is increasing — driven by CSRD in Europe and growing investor expectations globally — many teams are under cost pressure and resource constraints. Doing more with less is the default operating condition.

Companies that respond to this by throwing more human hours at spreadsheet-based processes are likely to fall behind. The ones that invest in platforms that automate collection, enforce consistency, and create verifiable audit trails will not only produce better reports — they'll reduce the burden on the people responsible for producing them.

A Cultural Shift, Not Just a Tech Upgrade

Technology is necessary but not sufficient. Sustainable reporting capability also requires a cultural shift: one in which sustainability data is treated with the same seriousness as financial data, where business unit leaders understand their role in the data supply chain, and where the ESG function has the organizational authority to enforce standards.

That cultural shift is harder to buy than software. It requires executive sponsorship, clear communication about why the data matters, and, often, a period of uncomfortable transition as old habits are replaced. But companies that make that shift find that it pays dividends beyond compliance — in operational insight, in stakeholder trust, and in the ability to make genuinely informed sustainability strategy decisions.