Skip to main content

Offers & Underwriting

This guide covers the offer generation process, underwriting decisions, and the different types of declines in the SavvyMoney platform.

Offer Generation​

How Offers Are Created​

The system generates offers based on:

FactorImpact
Credit ScoreRate tier, eligibility
Debt-to-IncomeMaximum amount
Loan-to-ValueSecured loan amounts
MembershipSpecial rates, terms
Product RulesMin/max amounts, terms

Offer Components​

Each offer includes:

ComponentDescription
AmountLoan amount offered
RateAnnual Percentage Rate
TermRepayment period
PaymentMonthly payment amount
FeesOrigination, processing fees
Total CostTotal amount to be repaid

Offer Types​

TypeDescription
Pre-QualifiedBased on soft credit pull
Pre-ApprovedBased on hard pull, conditional
ApprovedFinal approved terms
CounterAlternative to requested terms

Pre-Qualification vs Pre-Approval​

Pre-Qualification​

  • Soft credit inquiry (no score impact)
  • Based on limited information
  • Preliminary offer only
  • Not guaranteed approval
  • Used for shopping/comparison

Pre-Approval​

  • May involve hard credit inquiry
  • More detailed analysis
  • Stronger commitment
  • Subject to verification
  • Conditions may apply

Comparison​

AspectPre-QualifiedPre-Approved
Credit InquirySoftSoft or Hard
Score ImpactNonePossible
AccuracyEstimateMore accurate
CommitmentLowHigher
VerificationMinimalMore required

Underwriting Process​

Automated Underwriting​

Most applications go through automated underwriting:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Application β”‚
β”‚ Submitted β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Rule Engine │──── Rules evaluate automatically
β”‚ Evaluation β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β–Ό
β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”
β–Ό β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”
β”‚APPROVEβ”‚ β”‚DECLINEβ”‚
β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜
β”‚ β”‚
β–Ό β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”
β”‚Counterβ”‚ β”‚ Hard β”‚
β”‚ Offer β”‚ β”‚ Soft β”‚
β”‚(maybe)β”‚ β”‚ Pend β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”˜

Rule Groups​

Rules are organized into groups that run at different stages:

GroupStagePurpose
Pre-BureauBefore credit pullInitial eligibility
Soft InquiryAfter soft pullPre-qualification
Hard InquiryAfter hard pullFull underwriting
StipulationDuring processingCondition checks
FraudThroughoutFraud detection

Manual Review​

Applications may require manual review when:

  • Rules refer to manual queue
  • Score near threshold
  • Exception requested
  • High loan amount
  • Complex situation
  • Fraud indicators

Underwriting Decisions​

Decision Types​

DecisionDescription
ApprovedApplication approved as requested
Approved with ConditionsApproved pending stipulations
Counter OfferApproved for different terms
DeclinedApplication not approved
PendingNeeds more information
ReferredSent for manual review

Decision Factors​

Each decision considers:

Positive Factors:

  • Good credit score
  • Low DTI
  • Stable employment
  • Existing relationship
  • Strong income
  • Adequate collateral

Negative Factors:

  • Recent delinquencies
  • High utilization
  • Short credit history
  • Multiple inquiries
  • Collections
  • Insufficient income

Three Decline Types​

Understanding decline types is critical for proper applicant communication and next steps.

HARD Decline​

Definition: Definitive decline that cannot be overcome in the current application.

Characteristics:

  • Based on fundamental eligibility
  • Cannot add co-applicant to overcome
  • Must wait before reapplying
  • Adverse action notice required

Common Reasons:

  • Credit score below minimum threshold
  • Recent bankruptcy (within exclusion period)
  • Previous charge-off with institution
  • Active fraud alert
  • Does not meet membership eligibility
  • Legal or regulatory prohibition

Next Steps:

  1. Send adverse action notice
  2. Explain decline reasons
  3. Provide required disclosures
  4. Inform of reapplication waiting period

SOFT Decline​

Definition: Conditional decline that may be overcome with changes.

Characteristics:

  • Based on modifiable factors
  • May overcome with additional information
  • Co-applicant may help
  • Can reapply with changes

Common Reasons:

  • DTI too high (can add co-applicant)
  • Insufficient income (can verify additional)
  • Collateral issues (can substitute)
  • Missing documentation (can provide)
  • Employment gap (can explain)

Next Steps:

  1. Explain what can be done
  2. Offer specific remediation paths
  3. Discuss co-applicant option
  4. Provide guidance for reapplication

PEND (Pending) Decline​

Definition: Application pending additional information before final decision.

Characteristics:

  • Not a final decline yet
  • Awaiting documentation
  • May become approved or declined
  • Time-limited status

Common Reasons:

  • Income documentation needed
  • Employment verification pending
  • Collateral information required
  • Stipulation incomplete
  • Verification in progress

Next Steps:

  1. Request specific items needed
  2. Set deadline for response
  3. Follow up regularly
  4. Make final decision when received

Decline Type Comparison​

AspectHARDSOFTPEND
FinalityFinalConditionalPending
OvercomeNoYesMaybe
Co-applicant helpsNoOftenMaybe
ReapplyAfter waitImmediatelyN/A
CommunicationAdverse actionGuidanceRequest docs

Counter Offers​

When Counter Offers Are Made​

Counter offers are presented when:

  • Applicant doesn't qualify for requested amount
  • Lower rate tier warranted
  • Different term more appropriate
  • Product better suited to profile
  • Risk factors require adjustment

Counter Offer Components​

Original RequestCounter Offer
Amount: $25,000Amount: $15,000
Rate: 6.99%Rate: 9.99%
Term: 60 monthsTerm: 48 months
Payment: $497Payment: $380

Counter Offer Process​

  1. System generates counter offer
  2. Present to applicant
  3. Applicant reviews options:
    • Accept counter offer
    • Decline counter (decline app)
    • Request manual review
  4. If accepted, update application
  5. Continue to funding

Adverse Action​

When Required​

Adverse action notices required when:

  • Application declined
  • Counter offer made (lower than requested)
  • Terms less favorable due to credit
  • Existing account terms changed adversely

Required Elements​

ElementDescription
Action TakenWhat decision was made
ReasonsTop 4-5 decline reasons
Credit ScoreScore used in decision
BureauCredit bureau used
Consumer RightsRight to dispute, free report
Contact InfoHow to get more information

Timing Requirements​

ActionDeadline
Completed application30 days
Incomplete application30 days after deemed incomplete
Counter offer declined30 days

Standard Reason Codes​

CodeReason
01Amount owed on accounts too high
02Delinquent past or present
03Proportion of balances to limits too high
04Too many accounts with balances
05Too many consumer finance accounts
06Length of credit history too short
07Too many recent inquiries
08No recent revolving balances
09Insufficient credit file
10Unable to verify information

Risk Assessment​

Risk Scoring​

The system calculates risk scores based on:

FactorWeight
Credit Score30%
Debt-to-Income25%
Payment History20%
Employment Stability15%
Collateral10%

Risk Tiers​

Score RangeRisk LevelTypical Decision
800-1000Very LowAuto-approve
600-799LowApprove
400-599ModerateReview
200-399HighDecline likely
0-199Very HighDecline

Underwriting Best Practices​

For Auto-Decisions​

  • Trust the rule engine for clear cases
  • Review exceptions carefully
  • Document override reasons
  • Monitor decision quality

For Manual Review​

  • Be consistent in application
  • Document reasoning
  • Know approval authority
  • Consider compensating factors
  • Communicate clearly with applicant

Compliance Considerations​

  • Treat applicants consistently
  • Follow fair lending rules
  • Document decisions
  • Send adverse action timely
  • Use correct reason codes
  • Maintain audit trail

Continue to Reporting to learn about reports and analytics.