Mezza AI Research
The working record behind the intelligence layer for financial decisions.
Every piece cites its sources. No performance claims, no bylines: attribution is Mezza AI Research.
Essays define the terms. Notes follow the evidence.
The Bounded Autonomy Ladder: how much should a financial AI agent be allowed to do?
Data before models: what actually decides whether agentic AI scales
What is the intelligence layer for financial decisions?
Context failures, not model failures: reading the agent post-mortems
A loop, not a pipeline: the one diagram that explains agentic AI
Four pillars, one argument.
The Intelligence Layer
The intelligence layer is a position in the stack, not a product feature. The model is replaceable. The layer is the asset.
Governed Autonomy
In regulated finance, trust is the gating factor, not capability. Autonomy must be earned one control at a time.
Data Before Models
The model is not the bottleneck and never was. Whether agentic AI scales is decided in the data layer.
Finance-Native AI
Horizontal AI platforms learn finance last. Finance-native systems encode the domain from the first design decision.
Put the research to work.
The frameworks on this page run inside everything we build. Bring a workflow to a first meeting and see them applied to your data.