Nearly everything that reaches us from Frankfurt is a decision that has to be explained later. That single characteristic does more to determine the architecture than the sector label on the front of it.
In banking and asset management the recurring shape is a person reading a long document and then forming a judgement: a credit file, a suitability assessment, a set of transaction alerts, a fund prospectus against a mandate. A system that replaces the judgement is both harder to build and harder to defend than one that assembles the evidence, marks what it could not find, and puts a reviewer in front of the residual. The second one also fails more gracefully, which is the property you want when the failure is visible to a supervisor. That pattern is written down in our risk and compliance architecture, and the reporting end of it under regulatory reporting.
Insurers here bring claims and underwriting files with the same structure and a different vocabulary. Asset managers bring reconciliation and client reporting, where the volume is high and the tolerance for a quiet error is zero.
The other Frankfurt speciality is second-line work: model risk, third-party risk, and the documentation that has to exist for both. Institutions increasingly arrive not with a use case but with forty of them and no consistent way to describe, rank or evidence any of them. That is a governance build rather than a model build, and it is covered under AI governance. Where the question is instead about exactly which data crosses which border, data residency is the more useful starting point.