Borrower follow-ups can add ~1 week.
Missing documents and inconsistent figures create back-and-forth before analysis can move ahead.
More loans handled by the same team. Faster decisions for borrowers.
Introducing CreditFrame: an AI credit analyst for underwriting and monitoring commercial loans. It prepares the initial credit view, so the team can spend more time on credit judgment.
With lender-specific adjustments; low-confidence figures flagged for human review.
Source-linked, in the lender’s format.
01 / The problem
Missing documents and inconsistent figures create back-and-forth before analysis can move ahead.
50%+ of a team’s time can go to gathering information, spreading financials and assembling the analysis.
Analysts reconcile borrower documents, internal records and third-party checks, often entering the same information more than once.
The team’s view must be assembled in a standard format before reviewers can make the credit call.
02 / How CreditFrame works
CreditFrame prepares an initial credit view—including financial models, a credit score and a memo. The credit team reviews it and makes the decision.

Upload a term sheet or enter the facility details manually. Establish the borrower, facility and loan purpose.
03 / Built for the bank’s process
Configure the analysis, checks and memo to the lender’s standards.
Trace figures to borrower materials and see what was prepared, reviewed and changed.
Keep borrower information within the agreed deployment environment.
Connect CreditFrame to the lender’s loan origination system, internal data and third-party services.
04 / Beyond CreditFrame
We also work with banks and credit funds to build and deploy AI for their specific lending processes. We start with workflow discovery to identify where AI can make a difference.
Talk to us05 / About Distilled One
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Previous experience across our team
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Let’s talk
See where CreditFrame fits—or bring us a process you want to improve.