Financial services AI automation for the document work behind every file.
AI reads, sorts and checks. Your underwriters and compliance officer decide.
A loan file or a new business account is mostly documents: pay stubs, tax returns, bank statements, IDs, formation papers. Processors and analysts spend their days reading them, renaming them and checking them against a list. We build AI that does that first pass and hands your team a prepared file with the gaps marked.
- Free
- AI audit before you commit to anything
- Human decision
- On every credit and compliance call
- Your cloud
- Where possible, with least-privilege access
Your processors are sorting paper before anyone can judge it
Loan files stacked by hand
Borrowers send pay stubs, W-2s, tax returns and bank statements as phone photos and combined PDFs. A processor splits, renames and orders every page before an underwriter can look at the file.
Conditions tracked in email
The approval comes back with a list of conditions. The processor translates each one into a borrower request, then checks every new upload against the right condition, usually from memory and an inbox.
KYC review that starts with a checklist
Before your compliance officer can assess a new customer, someone has to collect the ID, the formation documents and the beneficial ownership details, then check that names, dates and addresses agree across all of them.
What we build for lenders and financial firms
Each of these is a real engagement shape. Open one to see how it works, what it needs from you, and where a person stays in the loop.
Any figures are targets we scope towards, not guarantees. What you actually get depends on your volume, your systems, and how much stays under human review.
Document classification and loan file stacking
Processors split, rename and order borrower documents by hand before a file is ready for underwriting.
Document classification and loan file stacking
Processors split, rename and order borrower documents by hand before a file is ready for underwriting.AI reads every upload, splits combined PDFs, identifies each document type and extracts the borrower name, period and date. It files each document in your stacking order and flags missing pages, documents older than your age limits, and names that do not match the application.
How it works
- 01Collect uploads from your borrower portal, email or LOS document folder
- 02Split combined files and classify each document by type
- 03Extract names, dates and periods and check them against the application
- 04Rename and order documents to your stacking order in the LOS
- 05Flag missing pages, stale documents and mismatches for the processor
Where a person stays in the loop
The AI sorts and flags. A processor reviews the stacked file before it goes to underwriting.
- Documents the AI cannot classify confidently go to a person
- Processor confirms the file before submission to underwriting
- Every classification and rename is logged
What it needs from you
- Your LOS, with API or document import access
- Your stacking order and document age rules
- A sample of past files for testing, handled under your data controls
Typical build: 3 to 4 weeks·Aim: Files that reach underwriting already in order
Talk through this oneUnderwriting condition tracking
Conditions are read from the approval, turned into borrower requests by hand, and matched to new uploads from memory.
Underwriting condition tracking
Conditions are read from the approval, turned into borrower requests by hand, and matched to new uploads from memory.The AI reads the conditions from the approval, drafts a plain-language request for each one, and checks new uploads against the condition they answer. The processor sees which conditions have a document attached and which are still open.
How it works
- 01Read the condition list from the approval or the LOS
- 02Draft a borrower request for each condition for the processor to send
- 03Match each new upload to the condition it appears to answer
- 04Show open, answered and cleared conditions on one list
Where a person stays in the loop
The AI suggests which document answers which condition. Only your underwriter clears a condition.
- Borrower requests are approved by the processor before sending
- Conditions are cleared by an underwriter, never automatically
What it needs from you
- Access to approvals and conditions in your LOS
- Your borrower communication channels and templates
Typical build: 2 to 3 weeks·Aim: A live list of open conditions per file
Talk through this oneKYC and AML document review support
Collecting and cross-checking customer identification and ownership documents takes analyst time before the compliance officer can review.
KYC and AML document review support
Collecting and cross-checking customer identification and ownership documents takes analyst time before the compliance officer can review.The system requests the documents your program requires, reads each one, and compares names, dates of birth, addresses and ownership details across them. It flags expired IDs, missing items and inconsistencies, and packages a review summary for your compliance officer, who makes every decision.
How it works
- 01Request the documents on your program's checklist from the customer
- 02Read IDs, formation documents and ownership certifications
- 03Cross-check names, dates, addresses and ownership across documents
- 04Attach results from your existing screening vendor if it offers an API
- 05Send a review summary with every flag to your compliance officer
Where a person stays in the loop
The system supports your KYC and AML program. It does not approve customers, clear alerts or decide what gets reported. Those decisions belong to your compliance officer.
- Every customer decision is made and recorded by a person
- Screening results come from your existing vendor, not from the AI
- Your compliance owner signs off on the checklist before launch
What it needs from you
- Your written KYC checklist and document requirements
- Access to your screening vendor, CRM or core system where available
- A named compliance owner for sign-off
Common questions
- Will this make us compliant with KYC and AML rules?
- No software does that on its own, and we do not give regulatory advice. The system carries out the document steps your program already defines and keeps a record of them. Your compliance officer decides what the program requires and signs off on how the system supports it.
Typical build: 3 to 4 weeks·Aim: Review files that arrive complete or clearly flagged
Talk through this oneBank statement review and deposit flags
Underwriters and processors read months of bank statements to total deposits and find the ones that need an explanation.
Bank statement review and deposit flags
Underwriters and processors read months of bank statements to total deposits and find the ones that need an explanation.The AI reads each statement, totals deposits by month, separates likely payroll from transfers and other deposits, and flags items above the thresholds you set. It drafts letter of explanation requests for the processor to send. The underwriter makes the income calculation.
How it works
- 01Read statements from uploads or your LOS document folder
- 02Extract and categorize transactions month by month
- 03Flag deposits and patterns that match your review rules
- 04Draft letter of explanation requests for the processor
- 05Hand the underwriter a worksheet linked back to each statement page
What it needs from you
- Your deposit review rules and thresholds
- Statement access through uploads or your LOS
Typical build: 3 to 4 weeks·Aim: Deposit questions raised before underwriting
Talk through this oneBuilt inside your systems, not beside them.
We work in your cloud, using your tools, under least-privilege access. We never train models on your data, and you keep the source code.
Encryption in transit and at rest
Borrower and customer documents are encrypted wherever they are stored or sent.
Least-privilege access
Each workflow gets only the data it needs, and access is removed when it is retired.
Audit trail
Every AI output and every human decision is logged with who made it and when.
Responsibilities documented
We write down which controls the build provides and which stay with your firm, for your compliance owner to review.
Systems we build around
- Encompass by ICE Mortgage Technology
- Calyx Path
- Calyx Point
- LendingPad
- MeridianLink
- Salesforce
- DocuSign
- Microsoft 365
- Google Workspace
These are systems lenders and financial firms commonly ask about, not a list of existing integrations. We connect where your system offers an API, an interface or a reliable export, and confirm what your license and plan allow during scoping.
Questions we get
What is AI automation for financial services?
Financial services AI automation is software that reads, sorts and checks the documents behind loans and customer accounts so your staff start from a prepared file. For lenders, that means classifying and stacking loan documents, tracking conditions and reviewing bank statements. For compliance teams, it means collecting and cross-checking KYC documents. Credit and compliance decisions stay with your people.
Which financial services processes can be automated?
Document-heavy steps with clear rules are the best candidates: loan document intake and stacking, condition tracking, bank statement review, KYC document collection and cross-checking, and answering staff questions from your own procedures manual. Credit decisions, customer approvals and regulatory reporting decisions are not on the list. We automate the preparation around them.
Does AI automation help with KYC, AML, and compliance checks?
It helps with the document work in those checks, and your compliance officer makes the decisions. In practice, compliance automation for financial services means automating the evidence gathering: the system can request the documents your program requires, read them, compare details across them, attach results from your existing screening vendor and flag anything missing or inconsistent. It does not approve customers, clear alerts or decide what to report. We do not give regulatory advice; your compliance owner signs off on how the system supports your program.
How much does AI automation cost for a financial services firm?
The cost of AI automation for financial services firms depends on how many workflows are in scope, whether your LOS or CRM has a usable API, how much judgement the AI has to support, your monthly file volume, and the sensitivity of the data. The AI audit is free and ends with a scoped estimate. Builds are fixed-price, and ongoing support is a flat monthly fee covering hosting, monitoring and model costs. Our pricing page explains what moves the number.
Does it integrate with our loan origination system (LOS) or CRM?
We connect where your system allows it. For Encompass, Calyx or another LOS, we check what API access your license includes, whether a partner program or developer agreement is required, and what document import options exist. For a CRM such as Salesforce, we check API access on your edition. We confirm the path during scoping and tell you before quoting if it is limited.
What's the ROI of AI automation for lenders and financial firms?
Return comes from processor and analyst hours spent sorting and checking documents, files that move to underwriting sooner, and fewer conditions lost between emails. How large it is depends on your file volume and how manual the current process is. The free audit measures your current process first, so any estimate is based on your numbers rather than an industry average.
How long does implementation take?
Most builds go live in two to three weeks from a defined scope. Work with sensitive financial data, or an LOS that requires a partner agreement for API access, can take longer, which is why we scope before we quote. We usually start with one workflow, such as document stacking, prove it, and add the next.
Will AI automation replace underwriters or compliance staff?
No. Underwriters and compliance officers make judgement calls the AI is not built to make, and every build keeps them making those calls. What changes is the preparation: they start from a sorted, cross-checked file with the gaps marked instead of a folder of raw uploads.
Is AI automation secure for sensitive financial data?
It is built to be. We work in your cloud account where possible, encrypt data in transit and at rest, give each workflow only the access it needs, log every AI output and human decision, and never train models on your data. You keep the source code. Your firm's own security and privacy obligations stay with you, so we document which controls the build provides for your compliance owner to review.
Find the document work your team should not be doing by hand.
Book a scoping call. We will walk through your loan files or onboarding reviews with you, tell you which step is worth handing to AI first, and what it would cost.
Book a scoping call