CRE Diligence in the Age of AI · Vol. 1
The Trust Gap
How to build a model you can defend. Two years into AI pilots, the underwriting itself remains largely untouched — the tools are capable, but the method for trusting them is not. This volume sets out what a defensible, AI-built model looks like.
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Inside the paper
What you’ll take away.
- Why trust — not speed — has become the scarce input in AI underwriting.
- The economics and the stakes of the decision a model has to stand behind.
- The three foundations of a defensible, AI-built model: extraction with provenance, reconciliation, and an audit trail.
- A defensible-diligence checklist, the principles behind it, and where to start.
From the introduction
“The tools are capable. The method for trusting them is not.”
Read the full paper.
What a defensible, AI-built model looks like — provenance, reconciliation, and an audit trail — and where to start.
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