Loan origination and servicing software for Australian lenders

What does a lender’s software stack cover?

A lending stack has four jobs: origination (getting the application in and verified), decisioning (approving, declining or referring), servicing (running the loan) and collections (managing arrears and hardship). Each job has different users, different data and different regulatory evidence.

Stage	Main users	Typical systems	Evidence it must keep
Origination	Brokers, applicants, credit staff	Origination platform, broker channel, identity and bank data	Inquiries, documents, verification sources
Decisioning	Credit assessors, risk	Rules engine, scorecards, bureau data	Assessment, rule version, overrides with reasons
Servicing	Operations, customers	Loan management system, customer portal	Statements, variations, credit reporting data
Collections	Collections and hardship teams	Arrears workflow, payment arrangements	Hardship requests and responses, contact history

Off the shelf platforms are strongest at origination and weakest where a lender’s own credit policy and customer experience live. That is where custom builds usually start.

Buy, configure or build?

For most non bank and private credit lenders the right answer is to buy or configure origination and build decisioning, broker experience and servicing tools around it. The Australian market has mature origination options. Simpology describes a mortgage origination platform covering electronic lodgement through Loanapp, a loan origination system with workflows from pre assessment to settlement, and a gateway to external services such as identity validation. NextGen’s ApplyOnline covers lodgement, origination, assessment and open banking across lenders, aggregators and brokers.

Use this rule of thumb when you scope:

• Buy what every lender needs in the same way: lodgement, document capture, identity checks, bank data retrieval.
• Configure what differs by product but fits the platform’s model: application journeys, document lists, workflow stages.
• Build what is your competitive edge or your legal evidence: decision rules, broker portals, servicing views, hardship handling.

Our build vs buy guide explains the trade-offs in general terms.

What must the decision record show under responsible lending?

A credit provider must make reasonable inquiries about the consumer’s requirements, objectives and financial situation, take reasonable steps to verify that situation, and make a final assessment that the contract is not unsuitable, then be able to give a written copy of that assessment on request. ASIC sets out its expectations in RG 209, issued in December 2019.

A decision record that stands up should store, for every application:

1. The data captured and where each item came from (applicant, broker, bureau, bank data, payslip).
2. The verification step applied to each material item.
3. The rule set or model version that ran, and its outputs.
4. Any manual override, who made it and why.
5. The final assessment, in a form you can hand to the consumer.
6. The time each of these happened.

The common failure is not missing data but missing lineage: the assessment says income was verified, but nobody can show which document it was verified against. Build lineage in from the first release.

How do credit reporting rules shape the data model?

Credit reporting is governed by Part IIIA of the Privacy Act and the Credit Reporting Code, which tightly control what you can collect from and disclose to bureaus, how you use it and how you correct it. The main consumer bureaus are Equifax and Experian, and illion is now part of Experian.

Financial hardship information is a specific case. The OAIC notes that financial hardship arrangements and the associated financial hardship information are regulated by the Privacy Act, with strict rules on use and disclosure. Your servicing system must record hardship arrangements accurately because they flow into the repayment history you report. Treat credit reporting data as its own domain in the data model, with access limited to roles that need it.

What changed for BNPL and hardship?

From 10 June 2025, buy now pay later contracts became regulated credit under the National Credit Code, and anyone engaging in BNPL credit activities needs an Australian credit licence with the right authorisations and AFCA membership. The amendments also created low cost credit contracts as a new category, whose providers can elect modified responsible lending obligations.

Hardship volume makes workflow matter. Moneysmart reports more than 280,000 hardship notices across Australia in the 2024/25 financial year, and says a lender must consider a customer for hardship assistance when they ask. A hardship module should:

• Capture the request from any channel, including phone and email, with the date received.
• Pause collections activity where policy requires.
• Track information requested and received, decisions made and timeframes.
• Record the arrangement agreed and feed it to credit reporting correctly.
• Give staff a full history so the customer doesn’t repeat their story.

How do broker channels connect?

The MFAA reports that brokers facilitate 81.6% of new residential home loans, so for a home lender the broker experience is part of the product. Broker applications typically arrive through ApplyOnline or Simpology rather than your own forms, then need status updates, conditions and document requests sent back.

A custom broker portal earns its place when your product needs information the standard lodgement data doesn’t carry, when you want to give brokers instant indicative decisions, or when you want to show live status and outstanding conditions without phone calls. Integration with the lodgement platforms is usually the first and largest piece of work.

Can AI make credit decisions?

It can contribute, but the lender stays accountable, the decision must be explainable, and from 10 December 2026 your privacy policy must describe how computer programs are used in decisions that significantly affect individuals. The automated decision transparency rules come from Schedule 1, Part 15 of the Privacy and Other Legislation Amendment Act 2024. A credit decision clearly affects a person’s interests, so lenders using automation should expect to be in scope.

Safer patterns for AI in lending:

• Machine learning scores used inside hard policy rules, never instead of them.
• Large language models used to read documents, such as payslips and bank statements, with every extracted value shown to an assessor for confirmation.
• A full log of model version, inputs and output for every decision.
• Regular checks for drift and for unfair outcomes across customer groups.

Our guide to the Privacy Act automated decision rules covers the transparency duty in detail.

What do the 2026 AML/CTF changes mean for lenders?

AUSTRAC says changes for current reporting entities, including to AML/CTF program requirements and customer due diligence, started on 31 March 2026 unless deferred under the transitional rules. Lenders that provide designated services such as loans are already reporting entities. AUSTRAC publishes a risk assessment and suspicious activity indicators for non bank lenders and financiers, which are useful inputs when you design onboarding checks and monitoring rules.

In system terms, plan for: customer due diligence results stored against each customer, ongoing monitoring rules with case management, and reporting workflows your compliance officer controls.

Does any of this apply to small business lending?

Responsible lending under the National Credit Act covers regulated consumer credit, so most small business loans sit outside it, but small business borrowers can still take complaints to AFCA within its jurisdiction. AFCA published its Lending to Small Business Approach in January 2024, alongside its Responsible Lending Approach. A lender with both consumer and business products needs product level rules about which obligations apply, set by its lawyers and enforced in the workflow.

What do typical builds cost?

These are indicative AUD market ranges, ex GST, not quotes. Expeed publishes $40,000 to $150,000 for mid complexity systems and $150,000 to $500,000 or more for enterprise solutions.

Build	Includes	Indicative range
Decisioning rules engine and audit log	Policy rules, bureau and bank data inputs, overrides, full decision lineage	$50,000 to $150,000
Broker portal	Lodgement integration, status and conditions, document requests	$40,000 to $100,000
Hardship and collections workflow	Multichannel intake, case management, arrangements, credit reporting feed	$30,000 to $80,000

How AWLabs approaches lending builds

We start with a Development Consult to understand your products and where the current stack falls short. A paid Discovery Audit then maps your platform’s integration options and the evidence each decision must leave, and you receive a fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete. Senior engineers lead every build, with updates every Tuesday and Friday, Sydney time.

AWLabs has not yet delivered a project for a lender and holds no credit licence or AFSL. This page is general information, not legal advice. See our enterprise software service and wider finance and fintech work.