We do the grunt work.
You stay the reviewer.
Our AI Sustainability Analyst sits on top of the data you already have (invoices, utility bills, your accounting system) and turns it into an audit-ready footprint. Here is what actually happens.
From a pile of bills to a footprint
Send us your data
Forward invoices and bills to your CO2 Lab inbox, or connect Xero or NetSuite. Any format: a PDF, a spreadsheet, a photo of a bill. No templates to fill in first.
The analyst reads and classifies
It pulls out each line, works out what it is, and sorts it into the right scope and category. Messy, inconsistent supplier formats are the normal case, not the exception.
It matches a factor and calculates
Every line is matched to an emission factor (NGA, EEIO, or a custom one) and converted to CO₂e. Spend-based where that is all you have, activity-based where you have the physical data.
You review what needs you
Confident figures are filed. Only the uncertain ones are flagged, each with a plain-language reason. Nothing publishes until you say so.
Every number shows its working
You have tried ChatGPT on your own data and couldn’t trust the answer. Here, each figure traces back to its source document, the factor applied, and the reasoning behind the match.
That is what an assurer asks for, and what lets you put your name to the number.
Emissions line
Diesel — depot fuel card, March
Result
3.32 t CO₂e
How the analyst got there
Source
Shell invoice #4471 — 1,240 L
Emission factor
NGA 2024, diesel — 2.68 kg CO₂e/L
Reasoning
Stationary combustion → Scope 1. Activity-based: you gave us the litres.
See it run on your own bills
A 30-minute check-up on your data and where your footprint really sits.
Book a Sustainability Check-up