Mastering ESG AI prompting fundamentals
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Guide content
As sustainability regulations intensify and stakeholder expectations rise, organisations are under growing pressure to deliver transparent, data-driven Environmental, Social, and Governance (ESG) performance. Artificial Intelligence (AI), and particularly generative AI, is transforming how sustainability teams operate, offering unprecedented opportunities for automation, analysis, and strategic insight.
However, using AI for ESG also introduces new responsibilities. The technology’s energy demands and potential ethical pitfalls mean that a measured, human-centred approach is essential. This includes thinking about the environmental impact of AI prompts and ensuring the sustainable use of AI across workflows.
The ESG prompting guide provides sustainability directors, ESG managers, and strategy teams with practical frameworks and real-world examples to craft effective prompts, including guidance on how to structure AI prompts and good AI prompt examples. Through step-by-step guidance, it shows how high-quality prompt design can enhance ESG strategy development, streamline reporting processes, and strengthen stakeholder communication.
Readers will gain a solid understanding of the fundamentals of ESG prompting, from mastering the clarity and context of inputs to fostering an internal culture that values responsible AI use. Each chapter builds on the last, helping teams apply AI prompting for sustainability across reporting, data storytelling, and monitoring ESG performance.
By combining the precision of AI with the contextual intelligence of human experts, this guide sets a foundation for a more ethical, efficient, and impactful ESG practice.
What you’ll find inside
Chapter 1: The ESG landscape and prompting essentials
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ESG and sustainability strategy: key drivers and frameworks
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Introduction to ai and prompt concepts for sustainability
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Tools and platforms for effective ESG AI prompting
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Why prompt design matters for teams
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Building a prompt-friendly sustainability culture
Chapter 2: Anatomy of a high quality prompt: crafting and refining prompts
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Basics of prompt construction and enhancement
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Clarity, specificity, and context in ESG prompts
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The role-task-format model for prompt design
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Chain-of-thought and iterative prompting for better AI results
Chapter 3: Prompts for ESG process efficiency
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Workflow automation and reporting setup prompts
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Communication and data storytelling prompts
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Monitoring, reviewing, and adjusting ESG strategy prompts
Chapter 4: Elevating prompt use in your organisation
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Avoiding common ESG and AI pitfalls and errors
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Ethical AI use in sustainability, including greenwashing risks
Download now and increase efficiency in your sustainability efforts.
