Give dealers a deposit and term from vehicle and applicant data

Dealers send the same deal to several funders, and a bare decline can lose it. Decisimo reads the vehicle and applicant in one decision flow and returns lease terms.

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A dealer gets a set of lease terms

One matching row writes the decision, deposit required, longest term and reason, and all four return to the dealer's system. A counter-offer carries a deposit and a term. Every threshold, deposit and term in these screenshots belongs to a demo case.

Leasing terms decision table shows rows returning decisions, deposits, terms and reasons based on score and vehicle age
The Leasing terms decision table shows how one matching row produces the terms sent to the dealer. The lease policy can return a counter-offer with its deposit, term and reason.

The vehicle decides the terms as much as the applicant

The Eligibility rule set checks vehicle age at contract end, advance above value, a recorded write-off and outstanding finance. Vehicle age at contract end is the vehicle's age in months plus the contract term in months. The credit bureau and vehicle lookup run together in one data source step, which waits for the slower source. Connect a data source.

Eligibility rule set lists knock-outs for vehicle age, advance, mileage, write-off, finance, arrears and clear status
The Eligibility rule set shows the vehicle and deal conditions checked before terms are selected. For the lease policy team, each rule makes a knock-out explicit.
Custom function editor calculates advance to value from vehicle price, deposit amount and valuation
The Advance to value custom function is a formula in the editor. No code is written, so the lease policy team can change how the value is calculated.

Change the terms and see what changed

Every save creates a revision, and two revisions can be compared row by row. A backtest shows how many past decisions a release would change. A new release goes on the same endpoint, so the dealer's system calls the same URL. An endpoint can require sign-off before a release is deployed. See release practice.

Leasing terms revisions #2 and #3 compared, with added and modified rows highlighted in the decision table
The revision comparison shows changes between two versions of the Leasing terms decision table. The lease policy owner can review changed rows before a new release reaches the endpoint.

A lease to a person is a credit decision

Assessing the creditworthiness of a person is an Annex III high-risk use under the EU AI Act; those obligations apply from 2 December 2027. GDPR Article 22 applies to an automated decline today, and each decision's input and output can be written to the lessor's own Postgres database. Read the governance guidance.

Questions we get asked

What is auto leasing decisioning?

Auto leasing decisioning uses policy rules to assess a vehicle and an applicant and return lease terms. Decisimo runs the vehicle and applicant through one decision flow, returning a decision, deposit required, longest term and reason.

Can a lease policy return a counter-offer with a deposit and term?

A decision table can return a counter-offer with a deposit and a longest term. Its row also writes the reason that goes back to the dealer's system.

What happens when bureau or vehicle data is slow or unavailable?

When a source errors or times out, its values come back absent with an error flag and the decision flow carries on. The rules determine what happens next when a value is missing.

How can a lessor show months later why a customer got those terms?

The lessor can write each decision's input and output to its own Postgres database and browse the record from the portal. Decisimo keeps the decision logic, its revision history and a usage record of each call.

Can requests after the contract starts use the same rules?

Requests such as early termination or a damage claim at return can be worked as a case. The same rule sets, decision tables and decision flows can run as tasks inside it. See case work.

Can a lessor's trained scoring model sit in the decision?

A scoring model trained by the lessor can be uploaded as a Python, R or Julia model. It runs as a step in the decision flow, with rules and cut-offs around it.

Put your lease policy into one decision flow

Start with your own lease policy and define the vehicle and applicant terms it should return.

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