In auto lending, the decision happens at the worst possible moment for slowness: the borrower is at the dealer, ready to buy, and every minute of delay is a chance to lose the deal to another lender or a cash discount. Approve too slowly and you lose volume. Approve too loosely to keep the speed, and you take on risk that shows up later in the book. Auto lenders need both speed and discipline, at the point of sale.
A loan decisioning platform built for the dealer channel reads the paperwork a dealer submits, applies your policy, and returns a decision fast enough for the showroom, consistently across every dealer you work with.
Why auto lending lives or dies on decision speed
The point of sale sets the clock. A decision that takes hours loses to one that takes minutes, so speed is the competitive line, not a nice-to-have. But the documents arriving from the dealer, income evidence, identity, proof of address, still have to be read and checked before a sound decision is possible. Speed without that check is just risk in disguise.
| Dimension | Manual or legacy | Floowed |
|---|---|---|
| Time to decision at the dealer | Hours | Minutes |
| Dealer-submitted documents | Manual reading | Automated extraction and analysis |
| Consistency across dealers | Varies by location | Identical policy everywhere |
| Income and identity fraud | Easy to miss at speed | Flagged in the decision flow |
| Pricing and policy control | Vendor or engineering | Your team, directly |
Decisions fast enough for the point of sale
A decisioning platform runs the full policy automatically and returns a decision at showroom speed for the applications that fit clearly within policy, routing only genuine exceptions to a human. For the underwriting flow behind that, see automated underwriting systems, and for the concept, what credit decisioning is.
Reading dealer-submitted documents
Dealer paperwork is rarely clean: payslips photographed on a phone, scanned identity documents, proof of income in a dozen formats. Reading and analysing those accurately is our headline capability. Our document intelligence turns dealer-submitted documents into decision-ready data, normalising income, checking it against the rest of the file, and handling the scanned, photographed, and handwritten inputs that general-purpose IDPs like Ocrolus, Rossum, and Hyperscience choke on, so the fast decision is also a sound one.
Consistency across every dealer and branch
An auto lender works through many dealers, and each is a place where policy can drift. Our Decision Engine applies the same policy to every application from every dealer, automatically. Write the rules once, change them the same day when you need to, and know that a borrower gets the same answer regardless of which showroom they walk into. Bring your own score or scorecard too: the engine orchestrates whatever model you use and applies it unchanged, it does not compete with it.
Fraud on income and identity documents
Income and identity fraud is a known problem in the dealer channel, and it is hardest to catch when you are moving fast. Fraud and document-manipulation checks run inside the decision flow, so a manipulated income document is flagged before the approval, not discovered in collections. Because we read both the text and the image, we cross-check evidence the way a careful underwriter would: an ID against the selfie, the stated income against the bank statement, the vehicle details on the paperwork against the chassis or title photo, so a figure that has been altered or a document that does not match the rest of the file surfaces at the point of sale.
This is already in production. At Alon Capital, founder Rene de Jesus puts it plainly: "Floowed reads the documents, runs our credit policy, and surfaces a decision in minutes."
Policy and pricing you control
Pricing is consumption-based on credits, sized to your dealer volume on one short call and well under the large enterprise platforms, so you can scope it up front. Activation runs in weeks, not quarters, because it sits on top of your existing systems with preset flows. Your team owns the policy through the Decision Engine, with no dependency on a vendor or an engineering queue to make a change, work credit and risk teams run directly while your credit officers operate it day to day.
Frequently asked questions
How fast is a decision at the point of sale?
Fast enough that the customer does not leave the showroom. The application, the documents, and your policy resolve in one pass and the answer comes back as recommended to approve, manual review, or reject, with the reasoning attached. The speed comes from not having a person rekey the dealer's paperwork before the policy can run.
Dealers send whatever they have. Can you read it?
Dealer paperwork is exactly the messy real-world input we are built for: photographed payslips, scanned IDs, faxed bank statements, handwritten annotations on a deal sheet. We read and analyse it, normalize income, and cross-validate figures across documents. For identity-heavy and secured lending we also cross-check document text against image evidence, the ID against the selfie, the title against the asset photo.
How do we stop one dealer's decisions drifting from another's?
The policy you write is the policy that runs. Same policy. Every application. Every time. No exceptions. Whether the deal comes from your best-performing dealer or one you signed last week, the same thresholds apply, and every decision carries the policy version and reason codes behind it. Dealer-level drift stops being something you discover in a quarterly review.
Can it catch income and identity fraud coming through the dealer channel?
Document intelligence flags tampering in the documents themselves rather than only checking whether the numbers look plausible: altered payslips, edited statements, an ID whose text does not match what the image shows, figures that do not reconcile across documents. Those signals feed the decision, so a suspect application routes to manual review instead of clearing on a clean-looking total.
Do we keep control of policy and pricing?
Yes. Your credit and risk teams author and version the policy directly, including how you price by grade or tier, without an engineering ticket. Replay any change against your historical book and its real outcomes before it runs, so the approval-rate and NPL impact are known, not guessed.
If you lend through dealers and the decision has to be fast and sound at the same time, our loan decisioning platform reads the paperwork and decides at point-of-sale speed. This is loan decisioning for vehicle lenders, end to end. Start free, or book a demo with our team.