Cloud migration, platform re-architecture, and data modernisation for firms running on decades-old infrastructure.
Trusted by leading enterprises
Australian financial services firms spend the vast majority of their technology budgets maintaining legacy systems — not building new capability. Meanwhile, CPS 230 (effective July 2025) demands operational resilience that ageing infrastructure cannot deliver.
Every year of delay increases migration risk, compliance exposure, and the cost of change. The question is not whether to modernise, but how to do it safely.
80%
IT budgets on maintenance
Gartner, 2024
Jul 25
CPS 230 effective date
APRA
6–18m
Typical migration timeline
Adaca
40%
Avg cost reduction post-migration
Adaca
Six capabilities that modernise your infrastructure safely and at pace.
Lift-and-shift or re-architect to AWS or Azure. Phased migration with zero-downtime cutover strategies.
Decompose monoliths into microservices. Replace tightly coupled systems with event-driven, API-first architectures.
Migrate from on-prem data warehouses to cloud-native platforms (Snowflake, BigQuery, Databricks).
Safely retire mainframe workloads with parallel running, data validation, and staged cutover.
Build integration layers that connect legacy systems to modern front-ends, partners, and third-party services.
Post-migration support: monitoring, patching, performance optimisation, and incident response.
From assessment to optimised cloud operations in four phases.
APRA CPS 230 requires firms to identify and maintain critical operations through severe disruptions. Legacy systems are the single biggest risk to operational resilience — they are brittle, poorly documented, and dependent on a shrinking pool of specialists. Modernisation is not just a technology project. It is a compliance requirement.
Talk to us about CPS 230 readinessCPS 230 operational resilience alignment
Architecture designed to maintain critical operations through severe disruptions, mapped to APRA requirements.
Business continuity during migration
Parallel running ensures zero disruption. Source systems remain live until target is validated and signed off.
Disaster recovery built in
Multi-AZ deployment, automated failover, and tested DR procedures designed into the target-state architecture.
Vendor concentration risk management
Multi-cloud strategies and portable infrastructure-as-code to reduce single-vendor dependency.
Compare our infrastructure and technology solutions to find the right starting point.
Legacy Modernisation
Production AI
Software Development
Best for
Legacy Modernisation
Firms migrating from on-prem or legacy cloud to modern infrastructure
Production AI
Firms deploying AI into production
Software Development
Firms building new applications or features
Best for
Firms migrating from on-prem or legacy cloud to modern infrastructure
Firms deploying AI into production
Firms building new applications or features
Focus
Legacy Modernisation
Infrastructure, data, and platform migration
Production AI
AI models, governance, and operations
Software Development
Custom application development
Focus
Infrastructure, data, and platform migration
AI models, governance, and operations
Custom application development
Typical duration
Legacy Modernisation
6–18 months
Production AI
3–12 months
Software Development
Ongoing
Typical duration
6–18 months
3–12 months
Ongoing
Key driver
Legacy Modernisation
CPS 230 compliance, cost reduction, operational resilience
Production AI
AI adoption, governance
Software Development
Feature velocity, product development
Key driver
CPS 230 compliance, cost reduction, operational resilience
AI adoption, governance
Feature velocity, product development
Still have questions?
Talk to our team6–18 months depending on scope. A single application migration can complete in 8–12 weeks. Full infrastructure modernisation with multiple workloads and data migration takes 12–18 months.
Parallel running, staged cutover, automated data validation, and rollback plans at every phase. We never do big-bang migrations. Each workload is migrated independently with its own success criteria.
Yes. We hold partnerships with both AWS and Microsoft Azure. Platform selection is driven by your existing investments, regulatory requirements, and workload characteristics.
Data is migrated using encrypted channels with automated validation at every stage. We run parallel comparisons between source and target systems before cutover. No data is deleted from source systems until migration is verified and signed off.
Absolutely. In fact, we recommend it. We prioritise workloads by business value, risk, and dependency. You can modernise the highest-impact systems first and tackle the rest over time.
We design for portability. We use infrastructure-as-code (Terraform, CloudFormation), containerisation (Docker, Kubernetes), and API-first patterns that reduce platform dependency. You own all the code and configuration.
Still have questions?
Talk to our teamTalk to our team about cloud migration and platform modernisation for your organisation.