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What AI companies build with banks and credit unions data

By SourceX Editorial · Updated

Short answer

AI companies use banks and credit unions data to build underwriting assistants, fraud models and service agents. The most useful records are loan underwriting notes, support transcripts, fraud investigation narratives and policy manuals, because they show how real work in the field gets done.

Underwriting assistants#

Models for underwriting assistants learn from real examples of the work, such as loan underwriting notes and support transcripts, prepared with personal details removed.

Fraud models#

Models for fraud models learn from real examples of the work, such as loan underwriting notes and support transcripts, prepared with personal details removed.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Service agents#

Models for service agents learn from real examples of the work, such as loan underwriting notes and support transcripts, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

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