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ESG Reporting

What Manual ESG Reporting Is Really Costing Your Practice

Soilo Editorial Team 9 min read

Every hour spent chasing missing client data or re-mapping numbers to GRI, ESRS, and TCFD is an hour you are not billing. Here is how to calculate the real cost, and the return, of moving off spreadsheets.

If you run an ESG or sustainability consulting practice, you already know the pattern. A new engagement starts, and before any real analysis happens, weeks go into chasing client data that should have arrived structured and did not. Numbers get reconciled by email. The same figures get re-mapped by hand into GRI, ESRS, SASB, and TCFD line items, one framework at a time, for every client, every reporting cycle.

None of that work is billable in the way a client actually values. Clients pay for judgement, materiality analysis, and assurance-ready disclosures, not for the hours spent copying numbers between spreadsheets. Yet for most practices, that low-value work quietly consumes a large share of every engagement's total hours.

Where the hours actually go

Across consulting engagements we have looked at, three tasks dominate the non-billable time on any ESG reporting engagement: manual data-gap analysis (chasing missing or conflicting figures from clients), audit-trail documentation (assembling evidence, timestamps, and version history by hand), and framework mapping (re-entering the same underlying data into the specific line items each framework requires).

Where manual ESG hours actually go

Data-gap chasing

Missing figures, email threads

Audit documentation

Assembling evidence by hand

Framework re-mapping

Same data, every framework

Automated dashboard

Hours back, every month

The three tasks that quietly eat a consulting engagement's billable hours.

Independent research backs up what most practitioners already feel. The 2024 Nasdaq and C-Engage report on the ROI of ESG and sustainability software found that more than 60 percent of organisations using automated ESG data collection, validation, and framework mapping tools reported time savings of 25 percent or more on these specific processes. For a practice billing multiple clients per consultant, that is not a marginal efficiency gain, it is the difference between a saturated team and one with room to take on new work.

Turning hours into a number your partners will look at

The math is straightforward once you frame it correctly. Take the manual hours per client per month across the three tasks above, multiply by your average billable rate, and multiply again by twelve months and your client count. That is the value of time currently being spent on work that a dashboard could largely automate.

Set against that figure is the cost of the tooling itself, and the residual manual hours that remain even with automation, since no platform removes 100 percent of the review work a consultant should be doing anyway. The net annual savings is simply the value of time freed minus the licence fee. For most practices managing more than a handful of clients, that net figure is strongly positive, often within the first year.

  • Hours freed per year: manual hours saved across data-gap analysis, audit documentation, and framework mapping, summed across every client
  • Value of time freed: hours freed multiplied by your average billable rate
  • Extra billable capacity: how many additional clients you could serve with the same headcount
  • Break-even client count: the number of clients at which the licence fee pays for itself in freed time alone

Why framework overlap matters more than most practices realise

A large share of the manual mapping burden exists because most practices treat each framework as a separate exercise, even though CSRD, ESRS, ISSB, GRI, SASB, and TCFD share significant underlying data requirements. Emissions data, workforce metrics, and governance disclosures overlap heavily across frameworks. Structuring that data once, and mapping it to every framework it touches, removes the need to re-enter the same figures repeatedly for every client and every standard.

This is exactly the problem Soilo's ESG and Disclosure Intelligence platform is built to solve. Data is captured once, mapped automatically across CSRD, ESRS, ISSB, GRI, SASB, TCFD, and BRSR, and carried through an approval workflow with a full audit trail attached to every figure. For a consulting practice, that means the framework-mapping hours in the calculation above shrink dramatically, and the audit-trail documentation that used to take days is generated as a by-product of the normal review process.

A break-even that most practices clear within a single client

Because the Consultant tier supports up to ten client entities from one login, with all major frameworks built in and full audit-trail automation included, the break-even math tends to favour practices managing more than one or two clients very quickly. At a typical billable rate and even conservative time-savings assumptions, most multi-client practices cover the annual licence fee well before they reach their existing client roster, and every client beyond that point becomes close to pure margin against the software cost.

Every hour a manual spreadsheet workflow consumes is an hour a client is not paying you to think. The tooling question is really a capacity question.

Run the numbers on your own practice

Generic industry averages are a useful starting point, but the number that actually matters is your own. Your billable rate, client count, and current manual hours determine whether moving to a dashboard is a marginal improvement or a step change in what your practice can take on without adding headcount.

Soilo built an interactive ESG Consultant ROI Calculator specifically for this decision. You set your billable rate, client load, and current manual hours per client, and it shows your hours freed, value of time freed, extra billable capacity, and break-even client count, live, comparing manual spreadsheets against the Professional and Consultant tiers.

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