Five steps to achieving corporate environmental sustainability

While public conversations around corporate sustainability may have quietened, business leaders haven't taken their foot off the accelerator.

Behind the scenes, companies are pushing ahead with investments in decarbonisation, climate adaptation, and supply chain resilience. It isn't about optics or brand positioning anymore, but about survival and support in reaching Australia's ambitious national target to reduce emissions by 62-70 per cent below 2005 levels by 2035.

For many companies, the next phase of climate action isn't about splashy public targets or glossy reports. It's about integrating sustainability into daily operations and doing it faster.

Artificial intelligence (AI) is playing an increasingly central role in this shift. AI-enabled climate solutions are helping businesses model emissions, optimise logistics, predict extreme weather impacts, and accelerate the global energy transition.

However, this innovation comes with a new challenge: the explosive growth of data centre energy demand. Training large AI models and powering always-on digital infrastructure requires vast amounts of electricity. If this energy isn't sourced responsibly, the emissions footprint of AI could erode some of the climate gains it's helping to deliver.

At the same time, affordability and community impact can't be ignored. The clean energy transition must not only decarbonise power grids but also deliver tangible benefits, from local job creation to regional economic resilience.

Five steps to closing the tools gap

One of the biggest barriers to progress is visibility. Developers and engineers have access to a wealth of metrics about how software performs such as uptime, latency, and cost per request. Yet, when it comes to measuring the environmental impact of their work, most are still in the dark.

According to a recent report by Fastly[1], while 77% of developers actively consider sustainability in their coding practices, more than half admit they lack the tools to measure whether their efforts actually make a difference.

This "tools gap" poses a real problem. Without clear metrics, good intentions can't be converted into measurable results. To bridge the gap and maintain momentum, there are five practical steps that any organisation can take:

1. Offset intelligently 

Companies that can't yet operate entirely on renewable electricity should offset what they consume through high-quality Environmental Attribute Certificates (EACs), such as Renewable Energy Certificates (RECs). These certificates provide a credible, market-based mechanism to verify that an organisation's electricity use is matched by renewable generation. Because EACs are independently verified and traceable, they offer a fast and reliable way to reach 100% renewable coverage while longer-term infrastructure transitions are underway.

2. Measure what matters

You can't manage what you can't measure. Developers should equip themselves with the tools to track the energy use and carbon impact of their software and services. By embedding sustainability metrics into everyday workflows, alongside performance and cost, teams can make greener choices without slowing innovation.

3. Visualise carbon data

Having a central sustainability dashboard such as one offered by Fastly can be an essential source of support.   It should clearly surface the most relevant data (from emissions intensity to power consumption) in a way that's intuitive and actionable. Real-time charts and visualisations can turn abstract sustainability goals into tangible performance metrics that guide decision-making.

4. Diagnose Inefficiencies

Once a dashboard is in place, it's time to dig into what's driving emissions and costs. Metrics such as bandwidth and CPU time can reveal patterns in resource consumption. A sudden spike might reflect increased traffic, or it might point to an inefficient software update. Observability tools can trace these changes back to specific events, such as the release of a new service version. Pinpointing such inefficiencies not only saves money but also reduces the environmental footprint of digital operations.

5. Automate for Impact:

Finally, data must flow seamlessly to decision-makers. Establishing automated workflows ensures that sustainability information is regularly shared across departments from operations to finance to the boardroom.

Automation reduces the risk of stale or siloed data and helps leaders make strategic choices based on the most accurate, up-to-date information available.

Beyond compliance

What distinguishes today's climate action from past corporate efforts is motivation. Ten years ago, companies often invested in sustainability to satisfy regulators or appeal to environmentally conscious consumers, however the calculus has changed.

Renewable energy isn't just a moral choice but a financial one. The falling cost of clean technologies, combined with the volatility of fossil fuel markets, has made the economics of decarbonisation increasingly compelling.

Similarly, supply chain resilience isn't a matter of image but of operational security. Firms that fail to anticipate climate shocks face higher costs, greater volatility, and diminished competitiveness.

The quiet race to net zero

While the volume of corporate climate talk has turned down, the speed of action is increasing, and Boards and executives are shifting from public pledges to measurable performance. The focus has moved from what should be done to how fast it can be achieved.

As sustainability becomes embedded in the fabric of business operations - supported by automation, data transparency, and renewable innovation - the companies that act decisively will gain a structural advantage.