What should I look for in carbon accounting software?

In order: can it read your real documents without manual data entry; does it use the current NGA Factors and handle both AR5 and AR6 GWP values; does it support the full AASB S2 disclosure structure rather than just emissions metrics; does every figure carry an audit trail back to its source; and is the pricing a subscription you can predict. Test each against your own data.

Is Australian-built carbon software better than a global platform?

For Australian compliance, usually. NGER needs per-facility tracking and state-specific NGA Factors, and AASB S2 needs AR6 GWP values. Global platforms often bolt these on as a regional module that lags DCCEEW updates. Ask which edition of NGA Factors a vendor runs and how fast they update. If they can't answer, that's your answer.

How much does carbon accounting software cost in Australia?

Subscriptions vary widely by scope and entity size, but they're a predictable annual cost rather than a per-cycle engagement fee. The useful comparison isn't sticker price. It's cost per reporting cycle against a consultant doing the same data work each year.

Can I just use a general-purpose AI like ChatGPT or Claude for carbon accounting?

For exploring a figure, drafting a narrative or reading a messy bill, yes, they're genuinely useful. The gap is defensibility: a general model can't reliably tell you which edition of the NGA Factors it used, whether it applied AR5 or AR6 global warming potentials, or link each number back to its source, and it may give different answers to the same question. For a disclosure an assurer will test you need current named factors, reproducible working and a traceable source per figure. The strongest setup pairs the two: use your AI assistant to ask questions, and connect it to a purpose-built platform over the Model Context Protocol so its answers are grounded in current factors with the documents cited.

How to Choose Carbon Accounting Software in Australia

Your CFO says find carbon accounting software. You've got a shared drive full of untouched utility bills, a reporting deadline, and a page of Google results where every vendor ranks itself first. We build software too, so we're biased. But this is the checklist we'd hand a colleague before they evaluate anything, us included.

Start with the documents, not the dashboard

The hard part of carbon accounting isn't the maths. Multiplying kilowatt-hours by a factor is arithmetic. The hard part is getting the kilowatt-hours out of a scanned PDF whose layout changes every time your retailer redesigns the bill. Ask any vendor, on the demo: can I upload a scanned fuel docket, a multi-page electricity bill and a supplier invoice, and get calculations without typing anything in? If the honest answer is "export it to our CSV template first," that's a spreadsheet with a login. Test it with your own worst document, not their tidy sample. (Here's what that looks like in ours.)

NGER-native or bolted on?

Australian compliance has specifics a global platform tends to treat as a regional add-on. NGER needs per-facility tracking and the NGA Factors DCCEEW publishes annually, which differ by state. Victoria's grid factor is several times Tasmania's, so a national average can misstate a facility's electricity emissions substantially. NGER uses AR5 global warming potentials; AASB S2 uses AR6. A platform that doesn't handle both leaves you maintaining parallel calculations. Ask which edition of NGA Factors it runs today, and how quickly it updates when a new one drops.

AASB S2 is four pillars, not one number

Mandatory climate reporting isn't only Scope 1 and 2 arithmetic. It spans governance, strategy, risk management, and metrics and targets. Most calculators do the metrics pillar well and leave you a blank Word document for the other three. Nobody automates governance disclosure, and you shouldn't trust a vendor who claims to. But the platform should at least give you the structure, the prompts and the evidence trail. Ask: can it structure disclosures for all four pillars, or only metrics? If only metrics, you'll need a second system for the rest, which defeats the point.

What about just using a general-purpose AI?

A fair question in 2026: why not paste your bills into a general-purpose AI and ask for the emissions? For exploring a figure, drafting a narrative or getting a rough sense of scale, that genuinely works, and it's a legitimate way to start. The gap shows up when the number has to be defensible.

Great for

Exploring the number

Reading a messy PDF, drafting a narrative, sizing a figure. Modern models do this well, and it's a fine place to start.

Not enough for

Signing your name under it

A general model can't reliably say which NGA Factors edition it used, whether it applied AR5 or AR6, or link each figure to its source, and may answer the same question two ways.

For a disclosure an assurer will test, you need the factor current and named, the working reproducible, and every figure traceable to its source. None of this is anti-AI, quite the opposite: explore the number however you like, then bring it somewhere that makes it defensible. The strongest platforms go further and let your AI assistant connect to them directly, so the answer comes back grounded in the current factors with the sources cited, not guessed.

The five questions to take into every demo

Before you sign

Can it read my actual documents, messy formats and all, with no manual entry?
Which edition of NGA Factors is it on, and how fast does it update?
Does it handle both AR5 and AR6 GWP values without parallel workbooks?
Does every figure trace back to its source document and factor for assurance?
Is pricing a predictable subscription, and what's the cost per reporting cycle?

“If it can't handle what your suppliers actually send you, the feature list doesn't matter.”

The one test that decides it

Reads your documents

Messy PDFs, scanned bills and supplier invoices, in whatever format they arrive — no manual entry, no CSV template first.

Current NGA Factors

Applied automatically, handling both AR5 (NGER) and AR6 (AASB S2) global warming potentials.

Source-linked for assurance

Every figure traces back to its document and factor, so the working holds up when an assurer asks.

Connects to your AI

Ask questions over the Model Context Protocol — answers come back with the sources cited, not guessed.

Test it with your own documents

Bring the messy bills and invoices you actually have. Our AI Sustainability Analyst reads them, calculates against current factors, and shows the source behind every figure.

Book a Sustainability Check-up