Lending decisions
you can actually explain.
FinTrust reads a borrower's real financial behavior — spending, income stability, savings, obligations — and turns it into a risk assessment a lender can inspect, not just trust.
Every factor above is inspectable by the lender before a decision is made — the model recommends, it doesn't decide.
A number tells you the verdict. It doesn't tell you the reason.
Most lending systems reduce a borrower to income, obligations, and a credit figure — enough to decide, not enough to defend the decision or catch what it's missing.
What a credit number sees
- A single point-in-time figure, disconnected from recent behavior
- No visibility into why the score moved
- Affordability assumed, not measured against real cash flow
- Unusual activity hidden inside one blended number
What financial intelligence sees
- Transactions, income, and savings behavior over time
- Every factor pushing risk up or down, named and ranked
- Affordability checked against actual surplus and recurring burden
- Anomalies surfaced separately, for the lender to review
Built for the borrower and the underwriter.
Both sides work from the same financial picture — one to become loan-ready, the other to decide responsibly.
Track
Import transactions, categorize spending, and build a real financial history.
Understand
See spending patterns, recurring expenses, and financial health at a glance.
Improve
Set goals, get AI-assisted guidance, and work toward being loan-ready.
Apply
Choose a lender, submit an application, and track it through to a decision.
Review
Open the borrower's financial profile — not just a score, the behavior behind it.
Assess
Read the risk percentage alongside the SHAP explanation of what's driving it.
Stress-test
Run scenario analysis on different loan terms before committing to one.
Decide
Approve, reject, or hold — the borrower sees the status update immediately.
Decision support, not a black box.
Every underwriting tool is built to be inspected — the lender always makes the final call.
Explainable AI
SHAP-based explanations show exactly which factors increase or reduce a borrower's risk — stable income and strong savings pulling it down, high obligations and volatility pushing it up.
Affordability analysis
Weighs the proposed repayment against real income, existing obligations, and available surplus — not just a debt-to-income rule of thumb.
Anomaly detection
Flags unusual financial patterns separately from the risk score, so a clean profile with suspicious activity still gets a second look.
Financial behavior
Income stability, spending volatility, cash-flow pressure, and recurring burden — the evidence behind the recommendation, not hidden inside it.
Scenario analysis
Test hypothetical loan amounts or terms against the current application before changing anything for real.
Responsible AI
A population-level fairness layer audits model behavior across borrowers — separate from any single lending decision.
Choose your workspace.
Manage transactions, goals, financial insights, and loan applications from one place.
Enter Borrower WorkspaceAssess borrower risk, affordability, and lending decisions, while monitoring institutional transaction risk through FraudShield.
Enter Institution Workspace