Where did that number come from?
CSRD, or your largest customer, has asked for numbers you do not have. Scope 3 is an estimate built on spend data. Your sustainability team is two people. The reporting deadline is fixed, the auditor will ask where the figures came from, and procurement has 350 suppliers nobody has ever asked.












How we build the number
THE METHODOLOGY IS THE DELIVERABLE
A number without a documented basis fails the first audit question, so we write the basis first and let the number fall out of it.
SUPPLIER DATA IS COLLECTED BY PEOPLE, NOT PLATFORMS
Someone has to ask 350 suppliers the same question in a form they can answer. That is the work, and it is the part most programmes skip.
WE CERTIFY NOTHING
We are not an assurance provider. We build the methodology and the dataset so your auditor can sign it.
Where the weeks actually go
Bar widths are to scale. Half the sprint is spent collecting data from suppliers.
Scope
Agree the boundary, which of the fifteen categories matter, and what the auditor will be asked to sign.
Boundary and categories agreedCollect
Supplier outreach and data collection. The same question asked of every supplier, in a form they can actually answer.
Every supplier asked the same questionHand over
The methodology document, the dataset and the calculation, so your team can repeat it next year without us.
Methodology and dataset handed overTwo hours of your team’s time a week. No workshop marathon.
Questions we have answered
Where did that Scope 3 number come from, and can we show the basis?
Which of the fifteen categories actually matter, and which are rounding?
How do we ask 350 suppliers the same question and get answers back?
What will the auditor challenge first?
Which suppliers are driving the footprint, and what can we do about them?
Can we repeat this next year without bringing anyone back in?
Quick reads
Scope 3, supplier emissions and ESG reporting work we have published.
Case studyDesigning Scope 3 Emissions Methodology
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Case studyDriving Value via Supplier Sustainability Transparency
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Case studyDigitizing Supplier Emissions Data
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Case studyClimate Risk Scenario Assessment
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Case studyClosing Gaps to Strengthen Sustainability Scores
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Case studyRaw Material Sustainability Benchmarking Study
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Case studyGreen Building Certification Benchmarking
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Case studyMapping Global Chemical Regulations for Wipes and Textiles
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Case studyUnderstanding Customer Pay Willingness for Green Roads
Read it →What Scope 3 and ESG reporting sprints have returned
A €8B global industry machinery company. All fifteen GHG Protocol categories calculated, with documented methods and data sources for consistent year-on-year reporting.
A €3B global chemical company. 25 data points collected per supplier, covering 98% of raw material emissions. 15% potential CO2e reduction identified.
A €4B global machinery company. 12 expert interviews across 8 countries. 85% supplier engagement achieved on automated Scope 3 data collection.
A machinery company assessed across five ESG rating agencies. Disclosure gaps mapped and improvement actions prioritised into playbooks.
Global chemical regulations mapped for wipes and textiles. Duplicated compliance effort reduced and delays in new product qualification cut.
A €0.5B European wood products manufacturer. 5 supplier risk assessments and 10 expert interviews behind the dual-sourcing and bio-based alternatives.
Hear from Our Customers
“The work of the team was important in increasing the level of awareness and urgency on the selected subject internally.”
€30B global electrification and automation group
“I have to say that from quality perspective team exceeded all targets. Fast, intense – “Sprint Manner” way of working showed well its power.”
€3B global chemical company
“I have completed 23 years in the industry and I’m not that easily impressed but I must say astonished by the result you have here.”
€10B global industrial technology group
The deadline is fixed. The data is not.
If CSRD or your largest customer has asked for numbers you do not have, that is the sprint. Eight to ten weeks, one senior analyst and two juniors, and the methodology, the dataset and the calculation are yours at the end.
Talk to Rahul →