Banking APIMortgage Brokers

Comprehensive Expense Categorisation for Mortgage Serviceability

Replace HEM benchmarks with real expense data from CDR bank transactions. Fiskil categorises borrower spending into discretionary and non-discretionary expenses, identifies recurring commitments, and produces lender-ready serviceability evidence.

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The Challenge

Relying on HEM benchmarks or borrower-declared expenses leads to inaccurate serviceability assessments, application rework, and regulatory risk.

The Solution

Fiskil analyses real transaction data to produce a structured breakdown of borrower expenses that satisfies lender serviceability requirements and responsible lending obligations.

Capabilities

How Fiskil Helps

Discretionary vs Non-Discretionary Classification

Every transaction is classified as essential (housing, utilities, groceries, transport, insurance) or discretionary (dining, entertainment, travel, retail), aligned with lender assessment categories.

Recurring Commitment Detection

Automatically identify loan repayments, BNPL instalments, rent, child support, subscriptions, and other fixed commitments from transaction patterns.

HEM Comparison Analysis

Compare actual expenses against HEM benchmarks for the borrower's household composition, highlighting where real spending exceeds or falls below benchmarks.

Spending Trend Analysis

Track expense trends over 3-12 months to identify whether spending is stable, increasing, or contains seasonal spikes that affect serviceability.

Implementation

How It Works

1

Obtain CDR Consent

Borrower authorises access to transaction accounts covering day-to-day spending, credit cards, and any accounts used for regular expenses.

2

Retrieve and Categorise Transactions

Fiskil retrieves 3-6 months of transactions and automatically categorises each into expense types aligned with lender assessment frameworks.

3

Generate Expense Summary

The API produces a structured expense report showing monthly averages by category, recurring commitments, and HEM comparison data.

4

Include in Serviceability Package

Submit the expense analysis alongside income verification as part of a complete serviceability evidence package for the lender.

Ready to get started?

Get your API keys today and start building with Fiskil's Banking API.

FAQs

HEM provides statistical benchmarks based on household surveys. CDR expense analysis shows actual spending. Lenders typically use the higher of actual expenses or HEM for serviceability — having both allows brokers to present the most accurate picture.

Yes, the API identifies BNPL payments from providers like Afterpay, Zip, Humm, and others by recognising their transaction patterns and merchant identifiers. These are flagged as recurring commitments.

We recommend 3-6 months as a minimum. This captures regular billing cycles, quarterly payments, and enough data to calculate reliable monthly averages. Longer periods improve accuracy for seasonal expenses.

The API calculates monthly averages and flags months with unusual spikes. It also identifies seasonal patterns (e.g. higher utility costs in winter) so lenders can assess normalised expense levels.

CDR-sourced expense data provides evidence of genuine inquiry into borrower expenses, which is a core requirement of responsible lending under the National Consumer Credit Protection Act. It goes well beyond self-declaration.

Get started today

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Comprehensive Expense Categorisation for Mortgage Servi...