FDIC · FDIC-63 · record R1083

Provisional Holds Model

Federal Deposit Insurance Corporation · Division of Resolutions and Receiverships

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This solution will enable the FDIC to proactively manage financial risk by providing the ability to estimate potential overpayments, even without real-time account-level data. The strategic insights gained will allow for the optimization of financial holds, minimizing both overpayment risk and operational inefficiencies.

Expected benefits

The model supports the provisional holds process by estimating potential overpayment. Appropriate provisional holds allow depositors access to their funds in a timely manner, while controlling risks to the DIF from overpaying uninsured depositors during a bank failure.

System outputs

This solution will enable FDIC to proactively manage financial risk by estimating potential overpayments under different levels of provisional holds in the absence of current account-level data and provide strategic insights needed to optimize our financial holds.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported