About Structur
Structure Exists Whether You See It Or Not
Every lending decision in Australia is shaped by structure.
Income classification.
Ownership entities.
Liability layering.
Policy interpretation.
Security risk.
Timing.
Most borrowers only encounter these forces after they have already committed to a strategy. Structur was built to reverse that sequence. It exists to make financial structure visible before borrowing, investing, or restructuring decisions are made.
Why Structur Was Built
Model Mortgages documents the canonical assessment mechanics used across Australian residential, commercial, and asset finance lending. Over time, a clear pattern emerged: People were asking the right questions — but without structural context, answers remained incomplete. Two borrowers could have similar income, similar deposits, and similar goals — yet experience very different outcomes.
The divergence was structural. Structur was built to map that structure clearly, privately, and before commitment.
The Origin
Structur was architected by Virginia Graham Riches, founder of Model Mortgages.
Virginia’s background spans:
• Treasury and capital markets exposure
• Stockbroking and institutional finance
• Mortgage broking and credit assessment
• Media authorship (Flirting with Finance, Fairfax)
• National property and finance commentary
Across thousands of lending scenarios, one pattern repeated:
Outcomes were often determined by structural positioning long before product discussion began. Structur formalises that observation.
It is not a calculator. It is not a recommendation engine. It is not an approval predictor. It is a structured mapping framework.
How Structur Was Designed
Structur mirrors the same assessment areas lenders and credit teams evaluate:
• Income and cash-flow treatment
• Living costs and existing liabilities
• Asset and equity position
• Security and property risk
• Borrower profile and policy sensitivity
Each pathway reflects recurring decision contexts observed in real assessment practice. Rather than generating generalised guidance, Structur organises borrower inputs into structural categories.
This allows:
Professional judgement
Lending logic
Policy interpretation
AI-assisted analysis
to operate within real structural constraints rather than hypothetical scenarios.
Why It Works
Structur works because it does not attempt to simulate approval.
It identifies structural dominance.
Most borrower positions are primarily influenced by one or two dominant assessment areas.
When that dominance becomes visible, decision quality improves.
Not because products change —
but because positioning becomes intentional.
Separation By Design
Structur is intentionally separated from lending execution.
Model Mortgages explains the assessment framework.
Structur maps borrower structure.
Licensed professionals conduct formal credit assessment and lending implementation.
Education.
Structure.
Execution.
Each layer exists for a different purpose.
What Structur Is Not
Structur does not provide financial advice. It does not recommend lenders or products. It does not guarantee approval. It does not replace formal credit assessment. It clarifies structure. That clarity changes how decisions are approached.
Why Structur Exists Now
Access to calculators, commentary, and AI-generated responses has increased surface information. But surface information without structural context often increases confusion. Structur exists to stabilise the sequence:
Structure → Strategy → Execution
When structure is understood first, decisions become more deliberate, resilient, and aligned with long-term objectives.