The AI Sustainability Breakfast is tailored to sustainability professionals seeking to advance their organisation’s use of AI in sustainability reporting, data management, and decision-making. We cover two key themes: how AI is being applied to unlock value from unstructured sustainability data, and how organisations can structure approaches to identifying, prioritising, and scaling AI use cases across sustainability functions.
Part 1: From Documents to Data: Unlocking Sustainability
This session explores how intelligent AI workflows convert documents into structured, governance-ready datasets that serve both human analysts and autonomous systems. Through real-world examples, we will demonstrate approaches for extracting sustainability and regulatory metrics from reports, enriching proprietary content for natural language querying, and automating metric collection across sources.
Drawing on live implementations, we will discuss the operational and governance considerations required to scale these workflows effectively including data quality, traceability, and API-driven delivery into enterprise sustainability and reporting processes.
Part 2: Decision Frameworks for Scaling AI in Sustainability
As organisations explore AI across sustainability functions, the key challenge is no longer experimentation, but decision-making: where AI creates value, how it should be prioritised, and how it should be implemented at scale.
In this session, we introduce a practical decision framework for AI adoption in sustainability, structured around three elements: assessing organisational AI readiness, prioritising and comparing sustainability-relevant use cases, and selecting appropriate delivery models across build, partner, and buy options.
Agenda
| Time | Content | Speaker | Company |
|---|---|---|---|
| 08:45 | Breakfast & Coffee | ||
| 09:15 | Opening & Framing Host introduction & event objectives | Rory Robinson | d-fine |
| 09:20 | Part 1 From Documents to Data: Unlocking Sustainability Insights for Humans and AI | Mandy Chung | FactSet |
| 09:40 | Part 2 From AI Pilots to Operational Value: A Framework for AI Adoption in Sustainability | James Sibbit, Rory Robinson | d-fine |
| 10:00 | Roundtable Discussion How organisations are driving value from AI in sustainability | ||
| 10:30 | Wrap-up & Networking |
Mandy Chung
Mandy Chung leads Intelligent Document Services at FactSet's AI & Data Mesh group, helping financial clients transform unstructured data into insights through AI-powered processing and agentic workflows. She previously headed Sustainable Investment Fundamentals and AI Insights at FactSet and brings experience from JPMorgan in securities services. She focuses on intelligent automation that makes documents accessible, actionable, and AI-ready. Mandy is a part of the IFRS Taxonomy Consultative Group (ITCG) and UNPRI as an advisor on taxonomy standards.
James Sibbit
James is the UK AI Lead for d-fine, managing topics across various GenAI & ML applications. Beyond leading the AI positioning within the UK market, he has extensive project experience in AI implementation, with a current focus on large-scale AI strategy. He has worked in the sustainability space on ESG metric extraction with LLMs and also on biodiversity topics using classical ML techniques.
Rory Robinson
Rory is Head of UK Sustainability at d-fine. He focuses on the intersection of sustainability, AI, and operating model transformation, helping organisations design scalable and audit-ready ESG systems. His work spans ESG reporting, regulatory frameworks, risk integration, and the use of AI to improve sustainability data quality and decision-making across financial services and corporate clients.
Speakers
Mandy Chung, AI & Data Mesh, Associate Director Product Manager
FactSet
James Sibbit, UK AI Lead
d-fine
Rory Robinson, Head of UK Sustainability
d-fine
