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The Sustainable IT Reference Model© presents the focal points for IT-led sustainability. Use it to orient IT staff on the breadth and scope of IT’s sustainability journey.

This model describes five levels of maturity for 11 different capabilities for successful sustainability leadership.

This index collects the tools and resources cited throughout the Sustainable IT Playbook. Chapters are indicated in which the resources are mentioned.

This PowerPoint contains editable graphics from The Sustainable IT Playbook used in strategy development, including a framework, materiality assessment, and roadmaps.

This set of Excel calculators will help to get a rough estimation of IT’s emissions footprint. The book's Chapter 13 provides an explanation and walk-through.

This is a template for developing IT sustainability business cases. It consists of generic template pages, with examples populated with hypothetical information for four different sustainable IT initiatives.

This taxonomy of more than 200 IT-tailored ESG standards provides IT organizations in any industry with consistent set of topics and metrics for measuring, tracking and reporting technology’s ESG impact.

This overview of the IT Toolkit for Responsible and Sustainable AI offers executives a strategic framework and practical guidance to mitigate AI risks and unlock lasting business value and innovation at scale, as developed by a SustainableIT.org working group.

This Runbook provides actionable, lifecycle-based guidance for IT and business leaders to operationalize environmental sustainability across AI systems, from goal setting and architecture to monitoring and continuous improvement.

This Runbook introduces five foundational principles, Validity & Reliability, Transparency & Explainability, Fit for Purpose & Scalability, Environmental Sustainability, and Accountability, to guide IT and business leaders in embedding ESG-aligned stewardship into AI data practices.

The document is a glossary of terms, adapted from "The Top 50+ AI/GenAI Terms Demystified," which defines key concepts in artificial intelligence, including Agentic AI, Generative AI, Responsible AI, and Sustainable AI, all relevant to the IT Toolkit for Responsible and Sustainable AI.

This guide outlines tailored learning paths to help enterprise generalists, experts, and executives build the knowledge needed to develop, govern, and apply AI sustainably, covering topics like environmental, social, and governance (ESG) impacts and the Three-R Leadership Framework.

This report introduces the Three-R lifecycle governance model, Reflect, Reframe, and Reimagine, supported by nine foundational principles that guide IT and business leaders in establishing governance and embedding ethical and sustainable practices across the AI system lifecycle.

This model series depicts the Responsible AI Governance Lifecycle through four views, integrating governance, ESG sustainability checkpoints, and an IT Sustainability Impact Assessment across the AI development lifecycle, including a GenAI governance strategy based on the "Six Rs."

This report summarizes the best practices observed from the 2025 Responsible AI Impact Award winners, demonstrating that responsible AI governance, including structured controls, literacy training, and sustainability by design, drives both business value and innovation at scale.

This model describes the elements and stages of the enterprise Generative AI technology ecosystem, including the value chain, lifecycle, and inputs/outputs, to help users understand and assess sustainability impacts across the entire AI pipeline from manufacturing to end-user devices.

This spreadsheet collects published frameworks, principles, standards, and other guidelines for responsible governance. of artificial intelligence models, applications, and systems.