Regulators, buyers, lenders and investors now all ask for your sustainability data, each in a different format and on a different clock, and each checks whether your figures agree with what you filed elsewhere.
For companies asked for sustainability data from every direction.
Sustainability data is now requested by parties who can act on the answer. Regulators require it, in the EU under CSRD and the ESRS and through the Taxonomy, and beyond the EU as jurisdictions adopt ISSB-based rules and their own disclosure regimes. Buyers demand it in tenders and supplier scorecards, lenders and insurers read it in credit and underwriting files, and investors screen on it. Each asks in a different format, on a different clock, and every one of them checks whether the figures agree with what you filed elsewhere.
The cost is rarely the reporting itself. It is running the same collection several times over for VSME, ESRS, GRI, IFRS S1 and S2, CDP, TNFD and the EU Taxonomy, and then defending inconsistencies that exist only because the answers were assembled separately. Assurance looks for traceability, procurement looks for comparability, credit looks for consistency with the accounts, and the board looks for a position it can defend in public.
The mandatory population narrowed. The demand did not, it moved down the chain: companies still in scope need their suppliers' numbers to close their own disclosure and ask through VSME and their own questionnaires, the bank asks at refinancing whether or not you report, the insurer asks at renewal, and a tender asks at every bid.
The cost of this is rarely a compliance cost, it is a commercial one. Dozens of questionnaires answered by hand each year, every one in a different form and every one inconsistent with the last, each consuming a person who should be winning business. Answered from a single dataset, that capacity returns to the commercial function.
Cappi collects once at source, evidences on arrival and renders each framework from the same store, so the second framework costs a render rather than a project, every counterparty receives an answer that reconciles with all the others, and the dataset itself becomes an asset that keeps earning.
Collection is where the budget goes and where the reporting year is lost, and in most organisations it is still run on spreadsheets and chasing emails. Cappi takes it through four routes at once: default templates issued to every site, supplier and contractor; templates tailored to your entities and your definitions; an API into the systems you already run; and direct upload of what operations and the value chain already produce.
One structured request goes out, and the platform tracks who has responded, what evidence is attached, what is still missing, and what is ready. Every point arrives carrying its source, owner, evidence, method, reviewer, status and period, and every later change is versioned with the superseded value retained rather than overwritten.
Narrative is cheap now, and everyone knows it, which is precisely why an auditor's scepticism about the numbers underneath has gone up rather than down. Cappi's exports are deterministic. Each figure can be reproduced from its source, its method and its factor, and the assurance pack assembles itself from the trail that was built at collection rather than reconstructed at the end.
That has a second effect that matters more each year. Your disclosure is increasingly read by a machine rather than a person, scored inside a procurement platform or a bank's counterparty system. Machines score what they can parse, source and check. A structured, source-tagged dataset with open-format output wins that comparison against a beautifully typeset document, and it keeps winning.
The materiality assessment runs the same way. Assess once, across impact and financial, and every framework reads the same result rather than repeating the exercise in its own template.
The same rows work in two directions. Inward they show where the cost actually sits, by site, by line and month on month, and which suppliers carry exposure you are quietly underwriting. Outward they settle the questions asked by the people who hold your money: the lender at refinancing, the acquirer in diligence, the tender at every bid, the customer's scorecard at every review.
You cannot negotiate on data you cannot produce, and in diligence a gap becomes a price adjustment while an answered record does not. One collection, two returns.
Reporting stops being a project with a team attached. The collection runs once and each framework is an extract, so the cost falls with every framework you add and the position you can defend rises with every year of evidenced history behind it.
The store is not built for one output. The same rows answer product carbon questions from customers and the embedded emissions behind a border declaration, from the same collection rather than a second exercise. Values are never summed across regimes, and each claim is made once, in the place it belongs.
The Data Demand Map returns your own picture: which of your customers, lenders, insurers and tenders will ask you for sustainability data, in which framework, and on what timing. It starts from your contracts and relationships rather than from a compliance checklist. No cost, no obligation, and it is yours whether or not anything follows.
Thirty minutes. Confidential from the first conversation.
