Automating the quote process in car leasing

In car leasing you rarely win on price alone. You win on speed: whoever puts down a correct quote first gets a seat at the table. And that is exactly where time is lost, between the application coming in and the moment someone has all the details together.

Where does the time go in a lease quote?

Not into the calculation. That takes minutes once the input is right. The time goes into gathering everything you need.

• The application: incomplete, arriving via a form, an email or a phone call.
• The documents: annual accounts, a company register extract, ID, and three rounds of asking what's missing.
• The car: trim, options, delivery time and residual value from different sources.
• The calculation: a spreadsheet set up slightly differently by each adviser.
• Acceptance: a file that is only complete after the underwriter has asked for the missing pieces.

What this means for each step is set out on our page for car leasing.

Why does a quote take days instead of hours?

Because the process waits. Not for work, but for a missing document. Each wait costs half a day, and three waits turn an application into a week.

The second problem is that nobody has an overview of the open applications. Who is waiting, for what, and for how long. Without that overview, the loudest application gets picked up first, not the one most likely to close.

So build that overview first. A list of all open applications, showing for each one the next step and whose turn it is. That alone shortens lead times, before anything is automated.

Step 1: record where every figure comes from

Make a list of every item on the quote and its source. A price list, a residual value table, an interest rate, an insurance premium. For each source, note who updates it and how often.

It's dull work, and it's the foundation for everything else. As long as an adviser pulls a figure from their own spreadsheet, you can't automate the process without automating the mistakes too.

If you find two advisers arriving at different amounts for the same car, you already have your most important finding. Resolve that difference before you go any further, or it will be repeated in every quote.

Step 2: let the application check itself

As soon as an application comes in, a system should check what's missing and ask for it in one go. Not three emails in a row, but one request with everything that's still needed.

The same system can read the documents supplied and check that they belong to the applicant and are up to date. Anything it isn't sure about goes to a person as a question, rather than being guessed.

Send the applicant a confirmation too, showing what has been received and what is still missing. That saves phone calls and stops an application stalling because both sides are waiting on each other.

Step 3: make the calculation a single source

Take the calculation logic out of the individual spreadsheets and put it in one place that everyone uses. For each component, record where it comes from: the price from the price list, the residual value from the table, the interest rate from the current set.

The benefit isn't just speed. You can explain a quote afterwards, and you can change a rate without quotes with old figures going out for two weeks. Drafting the quote can then happen automatically; see drafting quotes automatically.

Step 4: prepare the file for the underwriter

The underwriter shouldn't have to ask for anything. Let the system assemble the file in a fixed order, with a status for each item: present, expired or missing.

Add a short summary of the points that need attention. That saves reading time, and it makes clear why a file was rejected, which you can then use to improve the application questions.

Step 5: follow up quotes automatically

Most quotes aren't lost to a no, but to silence. Put the follow-up on a fixed rhythm, with a message that fits what was offered, and only let the replies land with an adviser.

What that looks like is described under automating quote follow-up. What matters is that a person takes over the conversation as soon as a question comes back: the follow-up is the prompt, not the sale.

What should you watch for with rules and assessment?

A credit assessment is a decision with consequences for the applicant. So let the system prepare and flag, and let a person make and sign off the decision. Record which data was used for each application.

If you work with personal data from documents, you need a lawful basis and a retention period. What you need to put in place is covered in the AI Act and GDPR: what you need to arrange.

When does automation add little here?

When you get few applications and every quote is unique. Then a good calculation module is enough and there's no gain anywhere else. And if your rates and residual values still differ per adviser, fix that first.

You can work out what the current manual work costs you with the cost of manual work. Which step will pay off most for you, and whether it calls for an integration or custom software, is what the AI Opportunity Audit finds out.