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TOTAL Scorecard cuts paperwork and evens out FHA underwriting

In April 2006 GAO found that FHA's TOTAL Scorecard had brought lenders and borrowers less paperwork and more consistent underwriting decisions than the two scorecards it replaced.

  • 1 for an organization

    GAO found that lenders needed less documentation for accepted loans and that one scorecard gave consistent decisions, but it measured no time or cost saved.

  • 1 for a person

    GAO found that borrowers shared in the lighter paperwork, since lenders no longer had to obtain verification of rent for accepted loans.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

An independent audit report supports the benefit.

Compared with

The FHA versions of Freddie Mac's Loan Prospector and Fannie Mae's Desktop Underwriter scorecards, used before 2004. Assumed without a measurement.

The system’s part
Not isolated. GAO compared TOTAL's features with those of the scorecards it replaced, using documents and interviews. It did not measure time, cost or default rates with and without the scorecard. TOTAL is a logit model whose variable weights were estimated from 1992 FHA loan data. It is a statistical scorecard that FHA had not updated by 2006.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Improved Organizational Efficiency
System
Technology Open to Approved Lenders (TOTAL) Scorecard
Made by
Federal Housing Administration (HUD), with contractor Unicon Research Corporation and subcontractor Fair Isaac Corporation
Used by
Federal Housing Administration and its direct endorsement lenders
Where
United States (national)
Stage
In routine use
Date
, when the source was published
Kind
Program
Broad benefit
Judging the Qualities of Objects, Services, or People, Making Decisions and Solving Problems
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Audit report, by authors with no tie to the system.

    U.S. Government Accountability Office. Mortgage Financing: HUD Could Realize Additional Benefits from Its Mortgage Scorecard. GAO-06-435, report to the Chairman, Subcommittee on Housing and Community Opportunity, House Committee on Financial Services, 13 April 2006. Section 'HUD Could Benefit Significantly More from TOTAL', pp. 15-16, and Table 1.

    TOTAL has produced more consistent underwriting results and, for some lenders, has streamlined the approval process and reduced paperwork.

Details

AI system

Workflow

Unicon fitted a logit model to a 1992 sample of FHA-endorsed loans, with credit score, loan-to-value ratio and cash reserves among its variables. Lenders' automated underwriting systems pulled credit data and sent each application to TOTAL, which returned accept or refer. FHA set a cut point that accepts 65 to 70 percent of applications automatically.

Follow-up

Conditions for replication

Lenders must manually underwrite every loan that TOTAL refers. Accepted loans must still pass FHA's additional credit checks, which can downgrade them to refer. The scorecard must be updated as borrowers and products change, and GAO found that FHA had no formal plan to do so.

Entry details

Sector

Housing finance: mortgage insurance underwriting.

Purpose

FHA and its contractor Unicon Research Corporation built the TOTAL Scorecard to rank applications for FHA-insured loans by the likelihood of default and to accept most of them automatically.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). TOTAL Scorecard cuts paperwork and evens out FHA underwriting (AIBD-1036). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1036.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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