Proptech

Mortgage Pre-Approval

Instant Mortgage Pre-Approval with Banking Data

Traditional mortgage pre-approval takes weeks. Fiskil enables instant pre-approval by analyzing banking data to calculate accurate borrowing capacity and verify financial position.

Slow Pre-Approval Loses Buyers Properties

Buyers miss out on properties while waiting weeks for mortgage pre-approval.

  • Pre-approval takes 2-4 weeks traditionally

  • Buyers lose properties to faster-approved competitors

  • Manual income and expense verification is slow

  • Inaccurate pre-approval amounts based on stated income

  • High rejection rate at formal application stage

Instant Pre-Approval with Verified Data

Calculate accurate borrowing capacity instantly using verified income, expenses, and existing commitments from banking data.

Borrowing Capacity Calculation

Calculate maximum loan amount based on verified income and expenses.

Commitment Detection

Identify all existing loans and commitments that affect borrowing capacity.

Living Expense Assessment

Calculate actual living expenses from spending patterns, not HEM benchmarks.

Deposit Verification

Verify deposit source and genuine savings history.

How to Implement Mortgage Pre-Approval

Add instant pre-approval to your mortgage broker or lender platform.

1

Buyer Connects Accounts

Home buyer authorizes access to bank accounts for pre-approval assessment.

2

Analyze Financial Position

API analyzes income, expenses, commitments, and deposit from 6-12 months of data.

3

Calculate Capacity

System calculates maximum borrowing capacity using verified data.

4

Issue Pre-Approval

Generate pre-approval letter immediately - buyer ready to make offers.

Key Features

Verified Income Analysis

Calculate sustainable income from transaction history, not stated income.

Actual Living Expenses

Use real spending data instead of HEM benchmarks for accurate servicing.

Commitment Aggregation

Identify all loans, BNPL, and credit commitments affecting serviceability.

Deposit Source Verification

Verify deposit is genuine savings, not gift or borrowed funds.

Stress Testing

Model serviceability under higher interest rates for responsible lending.

Bank-Ready Documentation

Generate reports banks accept for formal application.

Real-World Examples

Mortgage Broker Platform

A broker platform offers instant pre-approval to attract buyers.

Result: Brokers close 40% more deals with instant pre-approval competitive advantage.

Property Portal

A real estate portal pre-approves buyers viewing listings.

Result: Pre-approved buyers are 3x more likely to make offers and complete purchases.

Direct Lender

A bank offers instant pre-approval for online mortgage applications.

Result: Application-to-approval time reduced from 3 weeks to 10 minutes.

Technical Specifications

API Endpoints

  • POST /mortgage/calculate-capacity
  • GET /accounts/{accountId}/serviceability
  • POST /mortgage/pre-approval
  • GET /mortgage/deposit-verification

Data Types

  • Borrowing capacity

  • Verified income

  • Living expenses

  • Existing commitments

  • Deposit amount and source

  • Serviceability ratio

Authentication

OAuth 2.0 / CDR consent

Real-Time Data

Yes

Frequently Asked Questions

Using verified income and expenses typically provides accuracy within 5-10% of formal bank assessment.

Pre-approval based on CDR data is increasingly accepted as banks adopt open banking.

Home loans, personal loans, car loans, credit cards, BNPL, and any recurring debt payment.

Actual spending from transactions is used instead of HEM benchmarks for more accurate assessment.

Yes, transaction history shows whether deposit accumulated through savings vs gift or loan.

Pre-approval indicates likely capacity, but formal approval requires full bank assessment.

Typically 90 days, same as traditional pre-approval, subject to lender policy.

Ready to Get Started?

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

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Instant Mortgage Pre-Approval with Banking Data | Fiski...