Events
Morningstar AI Bootcamp: Recap
Guests at Morningstar in Frankfurt
On Tuesday we were guests at Morningstar's Frankfurt office. Here are the most important takeaways.
To kick things off, Hamed Rafei from EY and our co-founder Niclas Barthélemy got to introduce our AI employee Lucy: built for wealth managers, based on the Morningstar MCP.
Many thanks to Alexander Sperlich, Managing Director DACH at Morningstar, for the great introduction and the opportunity to present Lucy to this audience.
In the workshops
After the presentation, we moved into the workshops. Hamed and Niclas were in different groups:
- Hamed in the fintech team
- Niclas in the asset manager team
In the asset manager team, one question above all took center stage: how do we bring AI into a highly regulated landscape as quickly as possible?
Our answer: start with external data.
In asset management, this specifically means:
Competitive analysis, that is peer group comparisons, performance benchmarking against competing funds, style drift analyses, holdings overlap.
All areas in which an AI employee can free up significant capacity without internal client data having to flow.
Our recommendation
This is also our recommendation at scoreprise.AI: choose use cases that already deliver enormous time savings with external data. In parallel, build up AI governance internally. And only then gradually connect internal data.
Regulation is neither a hurdle nor an obstacle here. It sets the order.
This is exactly how we get started with our clients too: first the initial use case with concrete added value, then the expansion.
What we take away
From this bootcamp we take away that the potential for AI employees in wealth and asset management is enormous.
The combination of Morningstar's data depth and our experience in building AI employees is strong. We will deepen the collaboration, exactly along these lines.
Many thanks to Kathryn Kexun Hengst-Li, CFA and Andreas Münch from Morningstar for the invitation, the organization and the great exchange.
And to Hamed Rafei from EY: as always, great to have done this together.
We look forward to everything that comes out of it.
Best regards.
Next step
30 minutes.
A real conversation.
Tell us where time is lost in your business. We'll tell you which AI employee would take on the task, and whether it makes sense for you at all. No pitch, no slides.