可持续发展报告AI手册

AI playbookfor sustainability Contents 03Introduction 07Toolkit A “starter pack” of high-impact prompts you can usetoday, plus real-world case studies from Google’s 2025 An overview of the context and our intention for 04Five-step framework A set of synthesized learnings to help you succeed and scale,which include emphasizing the need to keep a human in the A straightforward process to identify high-friction tasks,select the right tools, and move from prototype 05Opportunity landscape 1 4Conclusion A map of where AI can add the most value across dataanalytics, content generation, and stakeholder interaction A closing perspective on the path forward with a call At Google, we believe AI has the power to accelerate progress acrossevery sector—including sustainability reporting. Currently, reporting teamsface a perfect storm of highly manual processes, unstructured data silos, We view sustainability as a collaborative endeavor,not a competitive one. That’s why, after a decade oftransparent disclosurein our annual environmentalreports and nearly two years of testing AI in that This toolkit focuses on the tangible: instead ofabstract concepts, we offer concrete examples and How to integrate AI intoreporting processes How do you actually get started? We’ve broken down our approach into five straightforward steps. This model isdesigned to help you identify high-friction tasks and apply the right AI solutions, ensuring you can iterate quickly and Look for your biggest time-sinks—specifically repetitive tasks, workflows involving unstructured data, orprocesses that involve information-heavy, dense documentation. Whether it’s summarizing policy updates orparsing supplier questionnaires, these highly manual processes are the prime candidates for efficiency gainswith AI. Audit manual,time-consumingworkflows Decide AI,automation, Start small with a prototype rather than aiming for immediate perfection. Test the outputs against human-verified information or data, and then refine your approach based on any discrepancies. Don’t overlook the Opportunity landscape Where AI can add the mostvalue in the reporting process We consulted with a range of sustainability professionals and technology experts to map the emerging landscape of AIapplications for sustainability reporting (Figure 1). The resulting non-exhaustive list highlights where AI can supercharge While we haven’t built solutions for every use case, we continue to actively experiment across these opportunities.We hope this landscape sparks ideas for how you might start applying AI to your reporting workflows today. Landscape of potential AI applications across data and content. Figure 1 Content interaction Data analytics Content generation •Interactive querying•Content localization •Data management•Data review •Internal assistance•Narrative drafting•Content visualization •Mock scoring•Reactive communications •Content visualization:Propose andgenerate data visualizations to effectively •Consistency review:Ensure dataaccuracy and narrative consistency by Data analytics •Data management:Automate thecollection, cleaning, and normalization of •Content standardization:Align draftcontent with corporate style guides, •Claims validation:Cross-referenceclaims against substantiated data sources •Data review:Detect anomalies, outliers,and potential errors in large datasets. •Document summarization:Generateexecutive summaries, change logs, and •Gap analysis:Identify missing metricsagainst specific standards, frameworks, •Interactive querying:Enable internaland external stakeholders to queryreport content or data via natural •Accessibility enhancement:Automatically generate alt text forimages or figures and ensure document •Peer benchmarking:Conduct peerbenchmarking and market trend analysis. •Supplier analysis:Analyze supplier datato suggest targeted mitigation strategies. •Content localization:Translate andcontextualize content for specific regions •Mock scoring:Evaluate drafts againsttransparent criteria to identify potential Content generation •Internal assistance:Deploy chatbots tosupport teams with process guidance and •Multimedia generation:Generateaudio overviews and video summaries to •Reactive communications:DevelopFAQs and talking points to address •Narrative drafting:Generate initialnarrative drafts based on structured data •User customization:Allow users to filterand view information relevant to specific •Inquiry response:Draft accurateresponses to customer sustainabilityquestionnaires and requests for proposals Prompts and examplesto spark inspiration Useful prompts Mapping the AI opportunity landscape for sustainability reporting is one thing; knowing exactly what to type into a blankprompt box is another. To help you move from theory to execution, we’ve curated a selection of high-impact promptsto help you begin applying AI to your reporting tasks today. Think of these as a starter pack—copy, paste, and custo