AI that satisfies both performance and regulators
Risk and fraud models in financial services face a different bar than consumer AI — every decision needs to be explainable to a regulator, not just accurate on a benchmark. Algosoft builds risk scoring and fraud detection models with documented feature importance, aligned to APRA CPS 234 and the regulatory defensibility expectations financial institutions actually face.
AI-driven fraud detection adapts to evolving patterns rather than relying on fixed rule thresholds, catching a meaningfully higher share of novel fraud than static rules-based systems alone.
This service pairs with our AI for insurance companies and InsurTech software development for firms operating across both financial services and insurance.
Documented feature importance that satisfies regulatory scrutiny.
Pattern detection that evolves with emerging fraud tactics.
Risk system design that anticipates CPS 234 expectations.
Transparent pricing for financial services AI
| Tier | Cost (AUD) | Timeline | Best For |
|---|---|---|---|
| Basic | $32K – $70K | 6 – 10 weeks | Single, focused risk scoring or fraud detection feature |
| Standard | $120K – $180K | 14 – 22 weeks | Multi-model build with explainability and monitoring |
| Advanced | $280K – $380K | 26 – 38 weeks | Risk platform with continuous monitoring and retraining |
| Enterprise | $480K+ | 10+ months | Full AI-driven risk and compliance platform |
Capabilities that define effective financial services AI
Risk models that go beyond static credit bureau scores.
Adaptive pattern detection for transactions, applications, and accounts.
Automated decisioning models with documented decision rationale.
SHAP and LIME-based feature importance for regulatory defensibility.
Pattern detection for suspicious transaction monitoring.
Continuous monitoring for drift and changing fraud patterns.
Where your financial services AI budget goes
Historical data analysis and risk feature identification.
Risk, fraud, or credit decisioning model build and training.
Feature importance documentation for regulatory defensibility.
Model deployment into existing risk and decisioning systems.
Drift and fraud pattern monitoring implementation.
Model documentation and compliance team handover.
Six reasons firms choose us
Explainable models built to satisfy regulator scrutiny, not just accuracy metrics.
Risk system design that anticipates prudential standard expectations.
Models that evolve with fraud patterns instead of relying on static rules.
Drift detection that catches model degradation before it costs you.
Data handling aligned to Australian privacy law throughout.
AI delivery experience across diverse financial services firms.
Technologies powering financial services AI
A phased roadmap from discovery to monitoring
Historical data analysis and risk feature identification.
Risk, fraud, or credit decisioning model build and training.
Feature importance documentation for regulatory defensibility.
Model deployment into existing risk and decisioning systems.
Drift monitoring setup and compliance team handover.
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Read GuideCommon questions about AI for financial services
Costs range from AUD 32,000 for a focused feature to AUD 480,000+ for a full risk and compliance platform.
Yes, we build explainable models aligned to APRA CPS 234 and regulatory defensibility expectations.
AI catches a meaningfully higher share of novel fraud patterns than static rules-based systems.
Yes, anti-money laundering pattern detection is one of our core financial services AI capabilities.
A focused feature takes 6–10 weeks. A full risk and compliance platform takes 10+ months.
Get a detailed cost estimate for AI solutions for financial services from Algosoft’s team.
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