Turning Credit Underwriting Into a Structured Workflow

This week the Credit Copilot concept became more concrete.

Instead of beginning with AI features, I started by mapping how an underwriting action should move through the system.

The result is a structured sequence covering areas such as background documentation, borrower and relationship context, source capture, industry analysis, facility structure, financial analysis, historical trends, risk assessment, diligence, and eventual credit-memo preparation.

The precise stages will evolve.

The important idea is that underwriting should have state.

At any point in time, the system should know how complete the transaction is and where the outstanding work sits.

That led to another feature I find particularly important: readiness.

Instead of relying primarily on an analyst's memory to determine whether the file is ready for review, each section can contribute to an overall readiness assessment.

The purpose is not bureaucracy.

It is the opposite.

A structured system should allow experienced people to spend less effort remembering what has and has not been done.

The workflow itself should remember.

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Building the First Credit Copilot Prototype

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From Generative AI to Agentic Credit Workflows