Lending

Affordability Check

Real-Time Loan Affordability Assessment API

Responsible lending requires accurate affordability assessment. Fiskil analyzes real banking transactions to calculate disposable income and determine sustainable loan amounts.

Affordability is Hard to Calculate Accurately

Self-reported expenses are unreliable, leading to loans that customers can't actually afford.

  • Customers underestimate their expenses on applications

  • No visibility into actual living costs and spending

  • Existing debt commitments are unreported or underreported

  • Manual expense verification is time-consuming

  • Loans approved beyond customer's true capacity to repay

Automated Affordability Calculation from Banking Data

Calculate true affordability by analyzing actual income, expenses, and existing commitments from bank transactions.

Income Analysis

Automatically identify and calculate regular income from salary, benefits, and other sources.

Expense Categorization

Categorize and sum expenses across essential categories (housing, utilities, groceries, transport).

Commitment Detection

Identify existing loans, BNPL payments, rent, and recurring commitments.

Disposable Income Calculation

Calculate true disposable income after all expenses and commitments.

How to Implement Affordability Checking

Integrate automated affordability assessment into your loan decisioning.

1

Connect Bank Account

Applicant authorizes access to banking data during loan application.

2

Analyze Cash Flow

API analyzes 3-6 months of transactions to calculate income and expenses.

3

Calculate Affordability

System calculates maximum affordable loan repayment based on disposable income.

4

Determine Loan Amount

Approve loan amount that fits within affordable repayment capacity.

Key Features

Essential Expense Tracking

Automatically identify and sum essential expenses like rent, utilities, groceries, and transport.

Commitment Aggregation

Detect all existing financial commitments including loans, BNPL, rent, and subscriptions.

Variable Expense Analysis

Calculate average variable expenses with seasonality adjustments.

Surplus Income Calculation

Determine monthly surplus available for loan repayments with safety buffers.

Stress Testing

Model affordability under interest rate increases and income reductions.

Regulatory Compliance

Affordability reports meet responsible lending requirements under NCCP.

Real-World Examples

Personal Loan Provider

A lender uses affordability checks to determine maximum loan amounts customers can sustain.

Result: Reduced loan defaults by 35% through accurate affordability assessment.

Mortgage Broker

A broker calculates borrowing capacity using real expense data instead of HEM benchmarks.

Result: More accurate pre-approvals reduced bank application rejections by 45%.

Car Finance Provider

An auto lender verifies customers can afford car payments alongside existing commitments.

Result: Decreased early default rate from 8% to 3% with better affordability screening.

Technical Specifications

API Endpoints

  • POST /affordability-check
  • GET /accounts/{accountId}/cash-flow-analysis
  • GET /accounts/{accountId}/commitments
  • POST /affordability-report

Data Types

  • Monthly income

  • Essential expenses

  • Discretionary expenses

  • Existing commitments

  • Disposable income

  • Maximum affordable repayment

Authentication

OAuth 2.0 / CDR consent

Real-Time Data

Yes

Frequently Asked Questions

Machine learning models trained on Australian spending patterns classify expenses into essential and discretionary categories.

Loans, mortgages, BNPL payments, rent, credit card repayments, subscriptions, and recurring bills are automatically identified.

3-6 months provides reliable affordability assessment accounting for normal variability and seasonal expenses.

Yes, the API can analyze variable income patterns for gig workers and calculate conservative income estimates.

Yes, affordability checks using actual banking data exceed NCCP requirements for income and expense verification.

We recommend leaving 15-20% buffer in disposable income calculations to account for unexpected expenses.

Yes, you can allow customers to provide additional context or documentation if they believe expenses are overstated.

Ready to Get Started?

Join hundreds of companies using Fiskil to power their lending applications. Get started today with our developer-friendly API.

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