AI-Native Banking and Fintech Conference

Everyone at AI-Native has a demo to show you. We'd rather hand you the keyboard. In our private workshop room, you'll build a working AI agent on a real lending workflow, document in, structured and validated data out, with governance and audit trail attached. No slideware. No sales pitch. You leave with something that runs.

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Meeting Room

No 8

Date

September 29, 2026

Venue

University of Utah, Salt Lake City

Meet the team: Marc Billanti, Hampton Vaughan, Gerald Webber, Kyle Kneubuhl

What You’ll Build

By the end of the session you'll have an agent that takes a real lending document, pulls structured data out of it, checks its own work, and hands off something a credit team could actually use

Point it at a document

Start with a document type from your own world, a tax return, a bank statement, a rent roll, a financial package. Classification first: the agent works out what it's looking at before it tries to read it.

Teach it what matters

Define the fields your workflow actually needs. This is where most AI projects go sideways, a general model will read anything and understand none of your credit policy. You'll wire in the rules that make the output usable.

Make it defensible

Confidence on every field, provenance back to the source page, and an exception path for anything the agent isn't sure about. This is the part that decides whether it survives contact with your risk committee.