These are written for institutional teams trying to separate signal from noise: where AI actually helps, where generic tooling falls short, and why workflow design matters as much as model quality.
The most valuable briefing before a financial services meeting isn't what a search engine returns. It's what you already know but can't access in two minutes.
I ran AI across 10 major public BDC filings and built something no commercial tool currently produces: a systematic view of software exposure across the book.
Most teams already have model access. The hard part is converting raw information into a structured first read that a decision-maker can use.
Privacy was the starting point. Continuity, model availability, and operational resilience are making the on-prem path more practical and more relevant.
The narrative says AI democratizes information access. Seventeen years in credit trading suggests the opposite.
After nine months building AI tools for credit synthesis, the hard part turns out not to be the technology.
On building AI tools for your own workflow, and why being the most frustrated user first is the better design brief.