Loan-review thinking, written down.
Practical guides and explainers for the people who run reviews. The methodology and AI-governance pieces are our evergreen reference content.
Guides & downloads
20 due diligence questions for any AI loan review tool
The question list we hand to prospects, covering output integrity, data handling, human control, and audit trail, formatted for a committee pack.
The Standard Scope Methodology, in eight pages
How a defensible loan-review sample is built (coverage, tiers, officer spread, and weighting), distilled into a short, practical read.
FFIEC loan review checklist
A practical, evergreen checklist for coverage, classification, and findings that a community-bank review should satisfy.
PDF versions are being finalized. Request a copy and we'll send it directly in the meantime.
Latest writing.
Short, specific pieces from people who do the work. No thought-leadership filler.
What AI should not do in a loan review
AI can do most of the analytical work. What it should never do is absorb accountability for the judgments an examiner will ask about.
ReadCitations, not accuracy percentages, are the right bar for AI in a regulated review
A 97% accuracy claim tells you nothing you can act on. A page reference tells your reviewer where to look. Only one of those survives an examination.
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