Kaia Auto Loan
Origination through collections intelligence that protects borrowers and lenders.
Kaia Auto Loan runs origination, explainable underwriting, fair-lending controls, adverse-action packaging, fraud detection, servicing, and portfolio intelligence in one governed loop. Lenders see why a deal moves, stalls, declines, or escalates.
Built for Your Role
What Kaia Auto Loan does for you.
Every role gets a purpose-built operating surface. Not a generic dashboard — a workspace designed for how you actually work in Auto Loan.
Improve approval parity to 0.94 while reducing default risk
Portfolio-wide view of underwriting decisions, fair lending metrics, and fraud alerts.
AI scores applications with SHAP-explainable risk factors
Review flagged applications with transparent decision reasoning. No black-box lending.
AI scores applications with SHAP-explainable risk factors
Review flagged applications with transparent decision reasoning. No black-box lending.
ECOA, TILA, and CFPB compliant with full decision audit trails
Every lending decision is documented with explainability evidence. Fair lending parity tracked.
Process 5x more applications with the same underwriting team
Track origination pipeline, funding metrics, and servicing portfolio health.
After signup, you choose your role and land directly in your Kaia Auto Loan workspace.
Full Lifecycle
Every stage of auto lending, powered by intelligence.
Origination
Dealer/direct application intake, VIN/deal structure, identity, and stipulation setup.
Underwriting
SHAP-backed risk factors, income verification, collateral checks, and decision packaging.
Fair Lending
ECOA/Reg B adverse-action reasons, approval parity, disparate-impact posture, and audit trail.
Servicing
Payment behavior, hardship, collections, SCRA, complaint, and portfolio-risk intelligence.
Classification
Four categories. Explainable lending decisions.
Application clears policy, fraud, income, collateral, and fair-lending checks with explainable decision factors.
Deal can move forward after stipulations: income verification, insurance, residence, collateral, or deal-structure conditions.
Risk exceeds threshold and Kaia prepares ECOA/Reg B adverse action reasons from explainable decision factors.
Synthetic identity, income inflation, document tampering, dealer pattern, or straw-purchase signal requires investigator review.
The Learning Loop
Every correction makes the system smarter.
AI Underwrites
Submit an application packet. Kaia analyzes bureau, income, collateral, fraud, deal structure, and protected-class fairness posture.
Underwriter Acts
Underwriters validate stipulations, override reasons, adverse-action language, and fraud referrals with a clear evidence trail.
System Learns
Each correction improves risk scoring, fraud detection, adverse-action accuracy, and fairness benchmarks across the lending loop.
Auto Loan Differentiator
Fair-lending intelligence from application to portfolio.
CFPB scrutiny is moving toward explainable AI. Kaia Auto Loan turns that pressure into a product advantage: every decision carries evidence, SHAP-style factors, adverse-action reasons, and fairness benchmark posture.
SHAP
Explainable Decisions
Surface the top decision factors so underwriters and compliance teams can explain approvals, conditions, declines, and overrides.
Reg B
Adverse Action
Generate specific ECOA/Reg B adverse-action reasons from the same evidence used in the decision, then log every human override.
Parity
Fairness Benchmark
Track approval parity, disparate-impact trends, fraud precision, and portfolio outcomes as part of the business process.
Same Intelligence Engine · 8 Regulated Industries
See it work. Right now.
Run an auto lending packet. Review the decision evidence. Correct the route and watch fairness, fraud, and portfolio posture respond.
Kaia Auto Loan Process
5-Stage Industry Process
Auto lending operating platform designed to publish status-labeled CFPB-auditable approval parity posture after production baselining. Upstart keeps fairness metrics secret. SHAP-based explainability supports human credit authority, and every governed underwriter correction improves tenant-scoped routing and fair-lending readiness.
Kaia runs process preparation, routing, evidence assembly, and correction learning; authorized humans retain final regulated authority.
Origination & Application
Multi-channel application intake (direct, dealer, digital), identity verification, income verification, stip collection
ECOA/Reg B — equal credit opportunity, no prohibited-basis discrimination
Underwriting
AI credit decisioning with SHAP explainability, risk-based pricing, adverse action generation, override workflow
FCRA — permissible purpose, accuracy, dispute resolution
Servicing
Payment processing, escrow management, insurance tracking, title management, customer communication
TILA — truth in lending disclosure requirements
Collections
AI-optimized contact strategies, hardship assessment, modification recommendations, recovery optimization
MLA/SCRA — military lending protections
Portfolio Intelligence
Fair lending analysis, model monitoring, vintage analysis, stress testing, regulatory reporting
CFPB AI Guidance — fair lending in algorithmic decisioning
Target Benchmark Posture
Approval Disparate Impact Ratio
Target: 0.94ratio | Industry average: 0.72ratio
Status-labeled until production baselines support public RRES publication.