AI services may contribute to an organisation’s Scope 3 inventory depending on its reporting boundary, providers and accounting method. Songlines Control® can support an indicative evidence baseline using agreed source data; reporting treatment and AASB S2 applicability remain subject to customer and assurance review.
Most organisations have a well-developed approach to Scope 1 and Scope 2 emissions. Scope 3 is harder — and within Scope 3, AI inference is the fastest-growing and least-measured category.
Under the GHG Protocol Scope 3 Standard, Category 1 covers purchased goods and services. Every AI query your employees send to ChatGPT, Microsoft Copilot, Google Gemini, or any other third-party model is a Category 1 emission — purchased compute, consumed on your behalf, generating carbon you are responsible for reporting.
"The financial cost of an AI query and its environmental impact are the same variable. Governing one governs both."
With AASB S2 mandatory climate disclosure beginning in FY2026, the ability to measure and report AI-related emissions is no longer optional. The organisations that build this capability now will be ahead of their auditors — not behind them.
Australian organisations face a converging set of mandatory disclosure requirements that make AI emissions measurement a compliance obligation — not a voluntary initiative.
Songlines Control® addresses AI sustainability through the same three operating modes that govern cost, compliance, and security — because the mechanism is identical.
Once your emissions baseline is established, Songlines Control® provides four purpose-built reporting tools to turn raw data into board-ready sustainability intelligence:
This is the insight that changes the conversation. The financial cost of an AI query and its carbon footprint are both functions of the same variable: compute consumed. Reduce one, and you reduce the other — automatically, without any trade-off.
This means the business case for AI governance does not require a separate sustainability justification. The ROI from cost reduction funds the sustainability outcome. The compliance requirement for AASB S2 disclosure funds the governance infrastructure. Both are served by a single deployment.
"Organisations that govern AI usage can establish clearer cost and emissions evidence, test routing scenarios and improve the inputs available to finance and sustainability review."
| Governance Action | Cost Outcome | Emissions Outcome |
|---|---|---|
| Intelligent model routing | Scenario-dependent cost change | Scenario-dependent emissions change |
| Semantic caching | Up to 100% cost elimination on cached queries | Zero emissions on cached queries |
| Usage visibility & attribution | Budget control by team | Scope 3 Category 1 baseline for AASB S2 |
| Policy enforcement | Elimination of wasteful or redundant queries | Reduction in total inference volume |
| Model deprecation alerts | Transition planned to minimise disruption | Transition planned to minimise disruption |
| Emissions intensity tracking | Identify highest cost-per-output workflows | Identify highest emission-per-output workflows for targeted reduction |
| Year-on-year trend reporting | Cost trajectory for board reporting | Verified emissions trajectory for AASB S2 auditor |
| Emissions budgets & alerts | Proactive cost overrun prevention | Proactive emissions overrun prevention |
| Supplier emissions ledger | Vendor cost benchmarking | Vendor emissions benchmarking for procurement |
A non-disruptive deployment of Songlines Control® in Observe Mode. No changes to existing workflows. No disruption to your teams. Within 14 days, you have everything you need for your first AASB S2 AI emissions disclosure.
Use a scoped Observe Mode engagement designed to minimise disruption. Build an indicative AI-emissions baseline from agreed source data, with timing, coverage and suitability for AASB S2 reporting confirmed during customer and assurance review.
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