The sustainability challenges you're solving alone? Your peers are solving them together.

IT and infrastructure represent a growing portion of your energy footprint. Your engineering teams lack the specialised training to build in the efficiencies leadership requires. Without a common framework, teams make inconsistent decisions — unable to distinguish genuine emissions reduction from well-intentioned guesswork.

The Green Software Practitioner Course — your engineering teams equipped to turn board-level strategy into technical reality. Developed with Microsoft, Accenture, Thoughtworks, and GitHub.

Completed by over 130,000 developers globally.

GHG reporting gives you compliance but not insight. You report an annual total, but your CTO can't turn that into actionable targets for engineering teams. Cloud migrations, architectural changes, infrastructure investments — they all blur into one number.

The Software Carbon Intensity standard (SCI) — an ISO-certified metric that lets you set targets engineers can actually act on. Not an aggregate total. A rate your teams can own and reduce.

Amadeus used SCI to set 'reduce carbon intensity by 30%' targets across every software product.

You've launched sustainability pilots. You've measured emissions. But initiatives stay trapped in IT — never scaling across procurement, operations, and business units. Your board expects transformation; you're delivering point solutions.

The SOFT Playbook — co-chaired by HSBC and Microsoft, developed with Google, Accenture, UBS, and Siemens. Not another measurement tool. The comprehensive framework for embedding green software practices systematically across every function.

Co-chaired by HSBC and Microsoft, currently in pilot with steering members.

Your organisation is deploying AI at scale. When stakeholders ask about the carbon footprint, you have no standardised answer. You're making multi-million dollar infrastructure decisions without understanding their relative carbon efficiency.

SCI for AI — extending the proven SCI methodology specifically for artificial intelligence systems. Standardised measurement across training and inference, applicable from LLMs to computer vision. Developed by members including Microsoft, UBS, Google, and Accenture.

Standardised measurement framework for AI carbon impact, developed by leading technology organisations.

Traditional standards development takes years. By the time specifications reach certification, regulations have evolved and technology has shifted. The bottleneck isn't technical complexity — it's coordination across dozens of stakeholders with competing priorities.

AI-accelerated consensus. GSF achieved ISO certification for SCI in under 3 years — unprecedented. Now applying AI to synthesise perspectives from hundreds of participants in days, not months.

ISO certification in under 3 years. Proven at Green IO Paris 2025 with 800+ practitioners.