AI Transformation For Finance

At Qvery, we help lenders spend less on every file, with custom AI agents that check loan and investor files. Every figure shows its page, and your team makes every decision. A first working result in two weeks.

Free Report

Check One Of Your Loan Files.

  • Your checklist marked item by item, with the page
  • What's missing, out of date or in a different name
  • One drafted request to the borrower for everything outstanding

Your result arrives from vlad@qvery.ai within 15 minutes. We delete your files as soon as your result is sent.

Piotr Babel, Partner @ Qvery

A self-employed borrower and a salaried one need different checklists, and every lender writes its own. At Qvery, we help lenders spend less on every loan file, with custom AI agents that read each file against its checklist. When two documents disagree, they show both numbers. Your underwriters and compliance team still decide.

AI Agents Built For Finance

Four custom AI agents for lenders, loan servicers and fund managers. Two work on the loan file and the credit memo. One sorts borrower letters with their deadlines, and one checks investor documents.

Loan File Review Agent

It checks every new loan file against your checklist for that loan type. It flags what's missing, out of date or in a different name, with the page. It drafts one request to the borrower for everything outstanding. Your processor reviews the request and sends it.

Financial Spreading Agent

A credit memo is the report a loan is decided on. The agent fills in its figures from the tax returns or statements, each with its page. It works out your ratios and shows both numbers where documents disagree. Your underwriter checks the figures and decides.

Borrower Correspondence Handling Agent

Some borrower letters set a deadline from the day they arrive. The agent works out what each letter is and counts the days to each deadline. It puts the letter on the right person's list. Your team confirms the type and answers in time.

Investor Onboarding Agent

It checks each investor's subscription documents against your onboarding checklist. It compares the name, address and signer across the forms and the identity papers. It drafts the request for whatever is missing. Your compliance team decides whether the investor is cleared.

What Document Checks Cost You.

Set for a lender of about 200 people, with 25 on these jobs. Put in your own numbers and the result updates.

Your Numbers

Checking new loan files
Onboarding investors
Sorting borrower letters and deadlines
Copying figures into the credit memo
Saved a year
$388,952
Today
$788,920
With the agent
$399,968
Pays back in
2.2 months
Three-⁠year return
1,543%
Deploys for about
$71,000

Saved a year $388,952

Read The FAQs.

What does Qvery build for lenders?

At Qvery, we help lenders spend less per file, with custom AI agents that check loan paperwork and fill in credit memos. They also sort borrower letters and check investor documents. We build them around your own checklists, memo templates and deadline rules. Every figure shows its page, and your team makes every decision. A first working result takes about two weeks. The first agent to build is the one that costs your team the most hours.

Do the agents make lending decisions?

No. The agents read, compare and show their work. Your underwriter decides whether a file is acceptable. Your compliance reviewer decides whether an investor is cleared. A person sends every letter to a borrower. Nothing the agents prepare is final until someone on your team has looked at it. Borrower letters are sorted and given their deadlines, and your team confirms the type and answers in time.

Which documents does the file check use?

The ones your checklist names for that loan type: identification, income, bank statements, tax returns, the property or collateral papers. The agent checks names, dates and amounts, not only whether a document is there. It flags what is missing, out of date or in the wrong name, with the page. A bank statement from the wrong month shows up as out of date. It writes one request to the borrower for all of it.

Can it fill in a credit memo?

It fills in the figures your memo template asks for, from tax returns and statements, each with its page. It works out the ratios your team uses, such as debt to income. Where two documents disagree it shows both numbers and lists the question for the borrower. Figures reported in thousands are converted to full amounts before they are compared. Your analyst confirms every figure. The analysis and the recommendation in the memo stay with your underwriter. The memo is the report a loan is decided on, so every figure in it has a page behind it.

How is an error notice's deadline counted?

From the day the letter arrives, not the day someone opens it. The agent records the arrival date and counts the days to each deadline from it. It uses your own rules and your business-day calendar, and shows the date it counted from and the days left. Where your rules allow an extension, it shows both dates until your team decides. Your compliance officer confirms both before the letter goes to the person who answers it. If a rule or a holiday is missing, the date stays unknown.

Does it fit our loan system and inbox?

The agents start where documents already land: the loan system's folders, the servicing inbox and your investor portal. If your loan system lets an agent in, it reads from it and writes its results back. We confirm what yours allows before building. Nobody changes how documents are collected, and the checking happens beside your team. A new loan file starts the check as it lands, and a borrower letter is read the day it arrives. Subscription packs come back by email or through your portal, and the agent reads each set as it lands.

How do we know it is accurate?

Every figure and every finding carries its page, so a person checks it against the document, not the whole file. Anything the agent cannot find in the documents is marked as not shown, never guessed. A page it cannot read is named. An investor's name, address and signer are compared across the form and the identity papers. Before any agent goes live, we run it on your own closed files and compare with what your team found.

What does it cost to build these?

Each agent costs about $20,000 to build. The four together cost $71,000 to build and $2,250 a month to run. The calculator is set for a lender of about 200 people, with 25 on these jobs. On those numbers, the agents can save about $389,000 a year in staff time, after running costs. Payback comes in a little over two months. Put in your own numbers and the result updates. The four jobs are priced as separate teams, so no work is counted twice.

What happens to borrower and investor data?

Before any build, we agree in writing which systems each agent may read and where its data is processed. Only the people named there see it, and nothing is kept longer than agreed. Qvery is based in the EU, so the GDPR, Europe's law on protecting personal data, applies. We sign a data processing agreement. Files you send to the free try are deleted as soon as your result is sent. The result comes from vlad@qvery.ai within 15 minutes.

How does a lender partner with Qvery?

Use Let's Partner at the top of the page to book time with us. We look at where your processors, analysts and servicing team lose the most hours. We build that agent first on your own files and systems and have a first working result in two weeks. Your team then works from short lists, with a page behind every item, and decides. You can also try one of them free: it checks one of your loan files against your checklist.