ESG Breakfast Series - Greenscope x Climate X (London edition)
Sustainability teams are being asked to do more (reporting, LP requests, physical risk management) usually without additional resources. Most of that pressure lands on the same place: the data layer.
AI is redrawing the options. Some firms are building in-house, using LLMs to chase portfolio company data or make better use of what they already hold. Others are getting there through specialised platforms, where the AI sits on top of structured data and asset-level models rather than starting from scratch: collecting, validating and reconciling portfolio data on one side; modelling physical risk exposure asset by asset on the other. Most end up somewhere in between, and the real question is no longer whether the technology works, but which problems are worth owning and which are worth buying.
Join sustainability leaders from TowerBrook, Slate Asset Management, Arrow Global and Deloitte UK for a practical discussion on what is being tested today, what is delivering value, and how sustainability teams are adapting their operating models for the future.
Build vs. buy - in-house LLM approaches vs. specialised platforms that layer AI on structured data and asset-level models, and what's actually driving that choice
Structured data as the foundation - why AI is only as good as the portfolio data feeding it, and what "collect, validate, reconcile" actually looks like in practice before any model gets applied
What's being tested vs. what's delivering value - from chasing portfolio company data to modelling physical risk exposure asset by asset, where AI pilots have proven out and where they've stalled
Adapting the operating model - how sustainability teams are reshaping roles, skills and vendor relationships as ownership of the data layer shifts
Looking forward to seeing you in London!
Greenscope & Climate X teams