Document fraud
A payslip anyone can edit
Salary figures, employer names and dates change in minutes with free tools. Checking fonts, metadata and totals by eye is slow and inconsistent.
Threat squad
Lena Credit — Senior AI Underwriting Security Director
AI underwriting checks that catch application fraud
Lena Credit — Senior AI Underwriting Security DirectorLena Credit is an AI agent that checks loan applications for income, identity and document fraud before they reach your credit officer. She compares payslips with bank statements, spots edited documents and flags identities that don't hold together. Your officer gets a cleaner file and makes the credit decision.
Lena Credit
Loan file #LA-5521 checked
IllustrativeReady for credit officer
Document risk high · income mismatch
Flag explained
“Payslip employer not seen in bank statement credits. PDF edited after creation.”
Job description
What Lena Credit does Job description
Lena Credit is a Senior AI Underwriting Security Director. She sits between your loan origination system and your credit officers, checks each file for fraud and inconsistency and hands over the file with her findings attached.
AI AGENT · THREAT SQUAD
LENA CREDIT
Senior AI Underwriting Security Director
REPORTS TO
Your Head of Credit Risk
WORKS WITH
Your loan origination, document management, core banking and collections systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Check payslips, bank statements and tax documents for edits, inconsistent totals and metadata that doesn't fit
02Compare stated income and employer with the credits in the applicant's bank statements
03Flag identity details that don't hold together across the application, documents and bureau data
04Hand each file to your credit officer with findings, evidence and a fraud risk level
05Watch the loan book for early warning signs and link early defaults back to their application
AUTONOMY MODEL
LOWMEDIUMHIGH
Low risk
Clean files can pass to the officer with a recorded note, if you allow it
Medium risk
Goes to a fraud analyst by default
High risk
Always goes to a fraud analyst
You set the threshold per rule.
Kill switch: Turn Lena off at any time
Options
How the options compare
| CRITERIA | Manual file checks | Document verification tool | Lena Credit |
|---|---|---|---|
| Time to first results | A hiring and training cycle | Vendor setup per document type | Shadow mode on your live and past files |
| Who decides | Credit officer | Tool pass or fail, then officer | Credit officer, with fraud findings routed by bands you set |
| Income checks | By hand, when time allows | Single document only | Stated income compared with bank credits |
| Why a file was flagged | Officer notes | Pass or fail result | Document, field and reason |
| Link to book performance | Rarely | No | Early defaults traced back to application flags |
| Where it's weaker | Slow and inconsistent at volume | Checks documents one at a time | Checks fraud and consistency only; can't verify what isn't in the file, and the credit judgement stays with your officer |
Works best with
AI agents that work best with Lena Credit
Lena's file checks get stronger when other agents confirm the person and the money behind them.
THREAT
Bella Nova
Senior AI BNPL Risk Strategist
Shares fraud signals from short-term credit at checkout.
Meet BellaTRUST AND IDENTITY
Iris Verma
Senior AI Identity Verification Specialist
Runs document, selfie and liveness checks on the applicant.
Meet IrisTHREAT
Aiden Flux
Senior AI Fraud Risk Analyst
Scores transactions on the account for mule activity and unusual flows after the loan pays out.
Meet Aiden
Thoughts that matter
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Questions? We Have Answers
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Frequently Asked Questions
Still have questions?
Talk to the people who build the agents. We'll answer per capability, yes or no.
It checks loan applications for fraud and inconsistency before a credit officer reviews them. Lena Credit reads payslips, bank statements and identity documents for edits, compares stated income with bank credits and attaches her findings to the file. Your officer makes the credit decision.
No. Lena checks for fraud and hands the file to your credit officer with findings attached. Flagged files go to a fraud analyst by default. A kill switch turns Lena off without touching your loan origination system.
She checks document metadata, fonts, totals that don't add up and fields that conflict with other documents in the file. Each finding names the document and the field so your analyst can check it directly.
AI that evaluates the creditworthiness of individuals is high-risk under Annex III, with an exception for fraud detection. Lena's checks target fraud, and her findings stay separate from your credit score. Your legal team should confirm the classification for your use.
The application and its documents from your loan origination system. Bank statements and bureau data, where you share them, help her compare income and identity. Past fraud and default outcomes help her learn what your team treats as risk.
Lena checks your live and past files, but nothing changes in your credit process. You compare her findings with your team's and with book outcomes. You decide whether, and where, to switch on any autonomy afterwards.
FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.