Cloud migration, data modernisation, and platform re-architecture for APRA-regulated financial services. We move your infrastructure forward without disrupting daily operations.
Trusted by financial institutions
Australian financial institutions spend up to 80% of IT budgets maintaining legacy systems. Core banking platforms from the 1990s still process millions of daily transactions. They cannot support real-time data, modern APIs, or AI workloads.
APRA CPS 230 (effective July 2025) requires monitoring of information asset age and health. 80% of core banking migration projects fail. The risk of standing still now exceeds the risk of modernising.
80%
IT budget on legacy
Maintenance, not innovation
Gartner, 2025
80%
Migrations fail
Core banking projects
Objectway, 2024
40%
Developer time lost
To technical debt
Stripe, 2024
$57B
Annual cost by 2028
Legacy maintenance globally
IDC Financial Insights, 2025
Four integrated capabilities that take legacy platforms from risk to readiness in regulated environments.
Audit current estate, dependencies, and technical debt. Map every system, integration, and data flow against CPS 230 requirements and modernisation readiness.
On-prem to AWS, Azure, GCP, or Cloudflare. Strangler fig patterns ensure incremental migration with zero unplanned downtime and full regulatory continuity throughout.
Legacy warehouses rebuilt as modern lakehouses with real-time ingestion, unified governance, and the data foundation required for AI and analytics workloads.
Monoliths decomposed into API-driven services with event-driven architecture. Modern application platforms that support rapid iteration and AI integration.
A structured process from discovery to ongoing managed operations.
Infrastructure audit, dependency mapping, CPS 230 gap analysis
Target-state design, cloud landing zone, migration sequencing
Incremental migration, parallel-run validation, regulatory continuity
Managed cloud ops, cost optimisation, AI enablement
Infrastructure audit, dependency mapping, CPS 230 gap analysis
Target-state design, cloud landing zone, migration sequencing
Incremental migration, parallel-run validation, regulatory continuity
Managed cloud ops, cost optimisation, AI enablement
Choose the engagement level that fits your organisation's modernisation needs and timeline.
Adaca partnered with a leading Australian financial institution to migrate their core platform to cloud infrastructure. The engagement covered infrastructure assessment, cloud landing zone design, incremental migration using strangler fig patterns, and parallel-run validation with full regulatory continuity maintained throughout.
Core platform migrated in 16 weeks with zero unplanned downtime and zero compliance findings
APRA banks, insurers, and super funds. We understand the regulatory constraints that make financial services migration uniquely complex.
4.5+ year average tenure means deep codebase knowledge and regulatory context. No handoff gaps between phases.
Adaca builds and operates production platforms including Lovelace, Primrose, and Lineer. We do not hand off and walk away.
Common questions about legacy modernisation for regulated financial services.
Still have questions?
Talk to our teamA typical modernisation programme runs 20 to 32 weeks end-to-end. The Discover and Architect phases take 8 to 12 weeks combined, followed by 8 to 16 weeks of incremental migration. Enterprise engagements with managed operations continue on an ongoing basis after migration completes.
Yes. We use strangler fig patterns and parallel-run validation to migrate incrementally. Production workloads continue running on existing systems while new platforms are validated. Cutover happens only after full regression and regulatory sign-off.
CPS 230 and CPS 234 requirements are mapped during the Discover phase and tracked throughout migration. We maintain regulatory continuity at every stage, with documented evidence of compliance controls, data lineage, and service availability during transition.
We work with AWS, Azure, GCP, and Cloudflare. Platform selection is based on your existing licensing, data sovereignty requirements, and workload characteristics. Many financial institutions use a multi-cloud approach, and we design landing zones that support that.
Data migration follows a validated, auditable process. We run parallel pipelines to verify data integrity before cutover. Full lineage tracking ensures every record is accounted for, and rollback procedures are tested before each migration phase begins.
Still have questions?
Talk to our teamProduction AI deployment with governance, training, and managed operations for regulated financial services.
Learn MoreManaged security operations with AI-native detection, response, and threat intelligence for regulated financial services.
Learn MoreChatGPT Enterprise, Cloudflare WAF, and Zero Trust — deployed and managed for APRA-regulated financial institutions.
Learn MoreThree ways we deliver AI for enterprise teams, from readiness assessment to full organisational change.
Assess your AI maturity, data estate, and regulatory posture. A structured programme that identifies where AI delivers value and what needs to be in place before deployment.
Learn moreDedicated AI-augmented engineering teams embedded in your workflow. Engineers paired with AI tooling to deliver faster, with built-in quality assurance and architectural oversight.
Learn moreOrganisation-wide AI adoption, from governance frameworks and change management through to production deployment and ongoing managed operations.
Learn more