Normalized claim
Loan application processing time: 97% decrease
reduced loan application processing times by 97 percent
Nucleus Software accelerates Bank of Sydney lending workflows with FinnOne Neo on AWS
Use case typeDigital banking platformUpdated 2 days ago
Nucleus Software built FinnOne Neo as a cloud-native digital lending platform on AWS to help Bank of Sydney accelerate loan processing. The platform connected lending operations with core banking, broker, valuation, and solicitor systems through secure APIs.
- Organization
- Bank of Sydney
- Industry
- Finance
- Location
- Australia
- Published
- July 2026
Reported outcomes
Property desktop valuation time: Approximately 2 hours
Time & speed
Loan application processing time: −97%Broker loan agreement turnaround time: −95%Reliability: +100%
Strategic outcomes
Ecosystem & partnershipsAccelerated loan approvals and broker collaborationCustomer experience & trustImproved customer experiences across lending operationsRisk & complianceMet local data residency requirements
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Broker loan agreement turnaround time: 95% decrease
shortened broker loan agreement turnaround times by 95 percent
Normalized claim
Property desktop valuation time: 2 hours decrease
reduced property desktop valuations from days to around 2 hours
Normalized claim
Reliability: 100% increase
maintained nearly 100 percent reliability with zero security breaches, within 10 months of deployment
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Bank of Sydney
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Customer Story
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 2 of 2
- 1Digital banking platform
- 2Workflow automation
Modernize fragmented legacy lending workflows to speed loan processing and broker agreement turnaround while meeting reliability, compliance, and local data residency requirements.
- Built FinnOne Neo as a cloud-native, containerized platform on AWS.
- Used Amazon EC2, Amazon S3, Amazon RDS for Oracle and PostgreSQL, and Amazon EKS to run lending workloads.
- Provisioned isolated AWS testing environments on demand and scaled infrastructure during migration cycles.
- Bank of Sydney reduced loan application processing times by about 97 percent.
- Broker loan agreement turnaround time dropped by about 95 percent.
- Property desktop valuations fell from days to around 2 hours.
- The bank maintained nearly 100 percent reliability with zero security breaches in 10 months.
Architecture
FinnOne Neo was built as a cloud-native, containerized lending platform on AWS using Amazon EC2, Amazon S3, Amazon RDS for Oracle and PostgreSQL, and Amazon EKS. Nucleus Software connected the platform to core banking, broker, valuation, and solicitor systems through secure APIs and used isolated AWS testing environments during rollout.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 29, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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