Insight

Agentic AI and governance

As AI moves from answering questions to supporting workflows, governance becomes more important. Investors need to know where AI is used, what data it touches, what decisions it influences and who remains accountable when something goes wrong.

The practical questions are clear: where did the answer come from, does it hold up if assumptions change, what is the system allowed to do, and who signs off?

Authors

    Head of Next Gen Research

Top keywords

Explore agentic AI in five key asset management themes

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Agentic AI in asset management

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