SERVICESCAR LEASING COMPANIESAI and automation for car leasing companies
Applications, document checks, quotes and contract management. We build AI and integrations around your leasing system. The underwriter decides and the adviser keeps the customer relationship.
ISO 9001 & 27001
Applications and documents are prepared for you. The adviser decides and stays in touch with the customer. Explore AI & automation →
What is AI for car leasing companies?
AI for car leasing companies is software that prepares the work around a lease application and a running contract: following up applications from the website, checking documents such as a Chamber of Commerce extract and annual accounts for completeness, preparing a file for the underwriter, drafting quotes and flagging when a contract is due to end. It works around the systems a car leasing or financial lease company already uses, such as the leasing system, the CRM and the website with the vehicle offer. The acceptance decision stays with a person, and the calculations stay with the company's own pricing engine. At Your Tech Club every action is logged and what we build stays the customer's.
Built for clients including Tata Steel, M&G Investments, Digistore24, Toppers in Concert, Bar-le-Duc and Loogman
Three places in a leasing or financial lease company where work is left waiting, while the customer waits too.
The application is in, the file isn't
An application on the website is quickly filled in. Then the chasing starts for the Chamber of Commerce extract, the annual accounts and the trade-in vehicle details, by email and phone.
The underwriter retypes what's already recorded somewhere
Data from the application, the documents and the leasing system is merged by hand before anyone can assess it. For the customer, that feels like waiting.
End of contract comes as a surprise
When a contract ends, who reports damage or needs a service is spread across systems and mailboxes. The moment for a new offer slips by.
How do you speed up application and acceptance in financial lease?
Between an application on the website and a decision by the underwriter is mostly gathering. Is the Chamber of Commerce (KvK) extract there, are the annual accounts for the right financial year, does the company name match the KvK number, are the trade-in vehicle details complete? That chasing and retyping is done by hand now, while the customer waits.
An AI employee responds to the application, reads the documents sent in, checks them for completeness against your own acceptance criteria and asks specifically for what's missing. The underwriter gets one file with a summary and the source of every piece of data. The underwriter makes the decision, not the system. For self-employed people and sole traders, an AI system that assesses creditworthiness falls into the high-risk category under the EU AI Act, and for other business customers that judgement belongs with a person too.
- Chamber of Commerce extract, annual accounts and trade-in details checked
- Missing documents requested specifically
- The underwriter decides, with the source of every piece of data
Can AI prepare a lease quote?
A financial lease quote combines a vehicle from the stock, a term, a down payment and a balloon payment with the rules of your own financing. An AI employee takes that data from the application and the stock, lets your own calculation set the monthly payment and prepares a draft. A language model doesn't do the maths. The adviser checks and sends.
That only works if the stock is right. A vehicle that has been sold or has a different price shouldn't appear on the website or in a quote any more. An integration between stock and website keeps that in line, and it doesn't need AI. That's how we built a financial lease website for GIJBA where business owners compare cars and request a quote.
- Draft from application, stock and your own pricing rules
- Stock and website kept in line through an integration
- The adviser checks and sends
What can you automate during a running lease contract?
After signing, contract administration begins: damage being reported, services to be scheduled, questions about an invoice or the balloon payment. Those questions come in by email, phone and app, and each belongs to a different contract. An AI employee reads them, links them to the right contract and answers what is settled. Anything that needs judgement, such as damage or a request to pay off early, it prepares for a colleague.
The end of a contract is a sales moment. An AI employee keeps track of end dates and flags at the agreed moment which customers should get a new offer or a conversation about a trade-in. The contact itself stays with the adviser. The leasing system remains the source; we build around it.
- Customer questions linked to the right contract
- Damage and maintenance prepared for a colleague
- End of contract with the adviser in good time
Not a replacement for your leasing system, but less gathering and retyping around it.
Opportunity first, technology second
First we look at where applications and contracts get stuck and what that costs. Only then do we choose the solution.
Around your leasing system, not instead of it
The leasing system, the CRM and the website remain the source. We build the integrations and the AI employee around them.
The underwriter decides
AI prepares the file and shows the source of every piece of data. The acceptance decision stays with a person.
Every action logged
Which documents were read, what was requested and what was proposed: traceable for every application, including in a later review.
Even when an integration is enough
Keeping stock and website in line doesn't need AI. If an integration or a standard feature is enough, we'll say so.
What we build stays yours
Integrations, instructions and the AI employee itself belong to you. We are model-independent, so you aren't tied to one provider.
- projects delivered
- returning clients
- from 127 reviews
- ISO27001 and 9001 certified
Three ways to bring AI into your organisation, side by side.
- Works in your own systems, such as ERP, CRM and emailStandalone AI tool: partly · AI freelancer: yes
- ISO 9001 and ISO 27001 certifiedStandalone AI tool: varies · AI freelancer: rarely
- Starts with the process, not the technologyStandalone AI tool: no · AI freelancer: varies
- Tells you when AI isn't the answerStandalone AI tool: no · AI freelancer: varies
- A person decides where needed, with loggingStandalone AI tool: partly · AI freelancer: varies
- Strategy, design, software and AI in one teamStandalone AI tool: no · AI freelancer: no
- Management and further development after go-liveStandalone AI tool: via subscription · AI freelancer: varies
- Dedicated contacts, office in AmsterdamStandalone AI tool: no · AI freelancer: varies
Four steps. The details come out of the audit, because the flow from application to end of contract differs for every leasing company.
- 01
AI Opportunity Audit in five working days
We map the flow from application to end of contract and work out what the current work costs. You get the three opportunities worth the most and what we would not do.
- 02
The foundations
Access to the leasing system, the CRM and the documents, agreements on which data an AI employee may see, and logging. This is also where we determine the risk category under the EU AI Act.
- 03
The first process
Often the document check on an application, but the audit decides. At first everything goes past a member of staff; what proves to work well may then run on its own.
- 04
Expanding
Quotes, customer questions or end of contract are added on the same foundations, without starting over.
After go-live it stays under supervision
- MonitoringWe track errors and exceptions for each application and contract, and spot it when something is off.
- EvaluationNew acceptance criteria or instructions are tested on past applications first, before they go live.
- Access and loggingPermissions follow the roles in your organisation, and logging stays on, even when everything is going well.
- ExpandingNew tasks are added as soon as they demonstrably add value.
No account manager. Your first conversation is with someone who does the work, often with one of the founders. After that you work with a dedicated team from our office in Amsterdam.
- Office on the Duivendrechtsekade in Amsterdam
- ISO 9001 and ISO 27001, certified by Kiwa
- 500 projects delivered
- 4.8 from 127 reviews
A financial lease website where business owners compare cars and request a quote
From stock to application
We designed and built the route from browsing to quote: a stock page with filters, and for each vehicle one page where the car, the monthly payment and the purchase price come together with the step to a quote. Underneath are integrations for vehicle data and Chamber of Commerce (KvK) data.
A light first step
The quote request first asks only for the company name or KvK number, email address and phone number. Then the adviser takes over the conversation. A reusable design system, SEO during the migration and lead tracking were part of the delivery.
What can AI do for a car leasing company?
AI and automation prepare the work around an application and a running contract: following up applications from the website, checking documents such as a Chamber of Commerce (KvK) extract and annual accounts for completeness, preparing a file for the underwriter, drafting quotes, linking customer questions about damage and maintenance to the right contract and flagging contract end dates in good time. The underwriter and the adviser decide, and every action is logged.
Can AI decide whether a lease application is accepted?
Not with us. AI prepares the file, with the source of every piece of data, and the underwriter decides. For self-employed people and sole traders, who are natural persons, an AI system that assesses creditworthiness falls into the high-risk category under the EU AI Act. That requires human oversight, logging and documentation, among other things. For each application we determine in advance which risk category it falls into.
Does this work with our own leasing system?
Yes, that's what we build on. The leasing system remains the source for contracts and calculations. If it has an API or integration, an AI employee works inside it; if not, we first discuss what's needed before we build. We don't replace the leasing system.
Can AI check a Chamber of Commerce extract and annual accounts?
For completeness and consistency, yes: is the document there, does the company name match the KvK number (the Dutch Chamber of Commerce registration), are the annual accounts for the right financial year. Where an integration with KvK data is possible, we use that instead of reading a PDF. What the figures mean for the application is for the underwriter to judge.
Does a language model calculate the monthly payment?
No. Monthly payment, interest and balloon payment come from your own calculation or the leasing system. An AI employee fetches the data and puts it in the quote, but doesn't do the calculation itself. That way the quote always matches what your financing agrees.
Do you have experience in the leasing industry?
We built a financial lease website for GIJBA where business owners compare cars and request a quote, with integrations for vehicle data and Chamber of Commerce (KvK) data. That was a website and integration project, not an AI implementation. With us, AI work always starts with the AI Opportunity Audit, in leasing too.
Where is our data stored, and what about the GDPR?
Which data an AI employee gets to see is decided in the design, and it is no more than the task needs. Where documents such as annual accounts are stored, and for how long, is agreed in advance. For each application we choose a model via an API or an open model running within the EU. Your Tech Club is ISO 27001 certified by Kiwa; that covers how we work and does not replace an assessment per application.
What does AI cost for a leasing company, and where do you start?
Implementation runs on a monthly fee that depends on scope and pace. Where to start is what the AI Opportunity Audit shows: in five working days, what the flow from application to end of contract costs now, which three opportunities are worth the most and what we would not do. The audit has a fixed price, known in advance.
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