Agentic AI for ESG professionals
A working course on using AI systems that plan, use tools, and produce auditable output.
For sustainability teams working in Claude, ChatGPT, or Gemini.
Why ESG work suits agentic AI
ESG work means navigating scattered qualitative and quantitative data toward many external formats, each with its own requirements. Agentic AI can help chart those routes, provided a person stays at the helm to check its output and its footprint is measured along the way.
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Input data is highly varied
Data comes in many different structures, formats, and types of metrics, sourced from many contributing functions.
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Disclosure formats don't align
Ratings agencies, reporting standards, and customer questionnaires each require the same underlying facts in different structures, and none match internal data.
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Lean teams reconcile it by hand
ESG teams typically work with limited staff and budgets, yet convert much of this data manually, every reporting cycle.
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Agentic AI combines interpretation with computation
It can map concepts across functions and formats, and run exact, repeatable calculations that produce defensible figures.
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Translating between vocabularies is a core strength
Results can be written for audiences in finance, real estate, human resources, engineering, production, and corporate strategy.
How the course works
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Works with the tools you have
Exercises are designed to run in Claude, ChatGPT, and Gemini, so you practice in whichever tools your organization already provides.
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Guardrails are a core skill
The course covers how AI systems fail, how to verify and trace their output for audit readiness, and how to limit what an agent can access.
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Practice on realistic material
Exercises use sample sustainability data, or your own where your company allows, and you leave with workflows you can reuse every reporting cycle.
Interested in joining the workshop?
The first workshop dates are coming soon. Sign up to hear first and get the early-bird rate.