AUTO LOANS USE CASE
Inside a Top-20 Global Bank's Auto Lending Transformation
Maisa’s specialized Digital Workers now handle document review, fraud detection, and deal structuring across the auto loan origination flow. Every decision is traceable end to end. Customers get answers in minutes instead of days. Auditors get the full reasoning behind every call. The business scales to 23,000+ loans a month.
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THE PROBLEM
Time-to-fund is the #1 competitive battleground in auto lending
Dealers submit contract packages to multiple lenders simultaneously. The lender who funds fastest wins the deal. Manual processes create a 4–5 day bottleneck, and every hour of delay is a deal at risk.
4–5 day time-to-fund
Manual review cycles tie up dealer inventory, freeze working capital, and give faster lenders a window to poach approved borrowers.
10–15% of deals lost
Auto loan applicants submit to multiple lenders simultaneously. Whoever responds first wins. Slower funders watch approved deals walk.
Multiple review loops
Funders stop at the first error and send packages back. Dealers fix, resubmit, hit new errors. Days lost per round-trip.
30–60 minutes per package
Manual checklist review, document extraction, and cross-validation — all by hand, inconsistent across the funding team.
CSR overload
Dealers flood the call center asking “Where’s my funding?” Every delay day means more calls, more staff, more cost.
$9.2B industry fraud exposure
Synthetic ID fraud up 98%. Income misrepresentation the #1 category. Manual review misses patterns no human can catch at volume.
The Auto Loan Lifecycle: From Outreach to Post-sale.
Every lender runs this lifecycle differently, and the manual load lands in different places. For some, the bottleneck is document review at origination. For others, it’s dealer follow-ups during sale, collections workload in post-sale, or qualification at the top of the funnel.
Wherever the manual work concentrates, that’s where time-to-fund slips, deals leak, and operating costs build up.
Outreach
- Lead capture and inbound inquiry.
- Lead qualification.
- Offer pack generation.
- Customer comms and follow-up.
Origination
- Application intake.
- Identity verification and KYC.
- Document validation.
- Income verification.
- Fraud screening.
- Affordability and decisioning.
Sale
- Contract preparation.
- Disbursement readiness.
- Dealer management.
Post-sale
- Customer maintenance
- Complaint handling
- Claims management
- Collections
- Payment recovery
- Delinquency monitoring with restructuring
THE SOLUTION
Specialized Digital Workers for a transformed origination flow.
Our client deployed two specialized Digital Workers across the origination flow, each one owning a specific job: document review and fraud detection. Together they collapsed a four to five day manual cycle into a two hour funding SLA.
Oscar:
Document Review & Extraction
Ingests full contract packages (contracts, payslips,bank statements, W-2s, SSN docs)
Extracts all fields and cross-validates data across documents
Flags all issues in a single pass — no par tial reviews or back-and-forth
Clean files go straight to funding; only exceptions require human review
Brian:
Login Check & Fraud Detection
Performs ID verification, fake payroll detection, and cross-document identity checks
Integrates with credit bureaus and third-party data sources
Applies dynamic dealer risk scoring based on delinquency and fraud patterns
Outputs clear decisions: ✓ Clean · ⚠ Soft flag · ✗ Hard flag (fully explainable)
With over 1.4M executions in production, clients now receive a response before leaving the dealership.
THE OUTCOME
Clear ROI, based on a client processing 23,000 loans a month.
Every number below is grounded in production volume, not projection.
$3.0M Direct processing cost savings per year
110,000+ manual hours saved per year as document review, extraction, and cross-validation move from people to Digital Workers.
+4% Net volume from a 2-hour funding SLA
Collapsing the four to five day manual cycle to a two hour SLA, recapturing roughly 920 loans a month previously lost to faster competitors.
$1 to 1.5M Dealer call center savings per year
Faster time-to-fund eliminates 25 to 35 percent of "where's my funding?" calls from dealers chasing status updates.
Fraud caught before disbursement
Cross-document checks and dealer risk scoring catch synthetic IDs, fake payroll, and income fraud before money moves.
>$10M Projected annual ROI
Predictable pricing backed by a clear business case, built and validated before deployment to ensure measurable ROI from day one.
100% auditable Every fraud and risk decision
Every package includes a full chain of work: checks run, signals fired, sources queried, and the reasoning behind the final decision.
Why Maisa
The reason a top-20 global bank chose specialized Digital Workers, and the reason the business case held up in production.
Hallucination-Resistant
KPU (Knowledge Processing Unit) is an enterprise-grade OS that runs on top of any LLM. LLMs predict, KPU executes code. It plans, verifies, and self-heals.
Captures tribal knowledge so expertise doesn’t walk out the door.
Trust and Auditability
Chain of Work delivers a full trace of every decision, the data used, and the know-how applied. Audit trails are auto-generated for regulators. Regulator ready in EU and UK from day one.
Business users build and audit workers in natural language. No coding required.
Scale and Reliability
Dual-model architecture: large LLMs for understanding, small focused models for execution at scale and at lower cost. KPU orchestrates both.
Robust and self-healing, adapts to exceptions without breaking. LLM agnostic, gets smarter as models improve.
Continuous Learning
Workers learn from explicit logic and implied business context. Each execution makes the next one smarter.
All business rules and logic in one place, always up to date.
Onboard your first Digital Worker today
Unlock Your Business Full Potential with Digital Workers
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