Turn scattered ESG data into audit-ready disclosures — and spend your time driving real change, not chasing spreadsheets.
Get the Sustainability briefIn 2026, AI is absorbing the data drudgery of sustainability work: pulling emissions figures from utility bills and invoices, drafting first-pass CSRD and GRI disclosures, and screening supplier questionnaires. Sustainability Managers now use it to model decarbonization scenarios in minutes and to catch gaps in a report before the auditor does. The result is less time assembling data and more time driving the strategy.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here are our utility bills and expense data for [period]: [paste]. Estimate our Scope 1, 2, and 3 emissions by category, state the emission factors and assumptions you used, and flag any data gaps I need to fill.Using these metrics [paste figures], draft a first-pass double-materiality disclosure for [topic, e.g. climate change] that follows the CSRD/ESRS structure. Mark clearly where I still need to add narrative, targets, or governance detail.Summarize what the [CSRD / SEC climate disclosure rule] requires for a company of our size and sector [describe], as a checklist of concrete actions with owners and deadlines.Review these supplier ESG questionnaire responses [paste]. Flag incomplete answers and likely greenwashing, and name the three suppliers that pose the most ESG risk, with a short reason for each.Turn this year's sustainability data [paste KPIs] into a one-page board narrative covering progress against targets, top risks, and three decisions I am asking the board to weigh in on. Keep it under 400 words.The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
One AI tool, one prompt, and one trick for Sustainability Managers, every weekday morning. Free.