Context
A leading financial institution engaged Logicore to transform its fragmented data landscape into a compliance-first, AI-ready platform. By implementing a federated architecture underpinned by an enterprise governance framework, the client reduced data integration time, maintained full regulatory compliance across all business units.
Key Challenges
- Regulatory Divergence: Business units followed different standards, complicating enterprise-wide compliance.
- Data Sovereignty Constraints: Centralising sensitive records was commercially and legally unviable.
- Legacy Infrastructure: Existing platforms lacked the flexibility for cross-domain intelligence and rapid AI deployment.
Our Approach
Federated Architecture
Local data ownership: Each unit retains control of its own datasets.
Standardised interfaces: Consistent APIs and role-based access controls enable secure interoperability.
Zero-trust security: Applied end-to-end, with data classification and continuous monitoring.
Embedded Enterprise Governance
Integrated oversight: Governance engineered into every layer—data, infrastructure, and AI.
Balanced autonomy: Like Australia’s federal model, where the Federal Government defines common rules while States maintain sovereignty.
Continuous compliance: Automated controls and audit trails ensure ongoing regulatory adherence.
Outcomes
Federated Model – Shared data and application platforms, while domain-specific data is de-centralised
AI-Adoption Established – The platform supports compliant, federated AI pilots
Secure & Compliant Data & AI – Compliant, AI-enabled data strategy that balanced innovation with regulatory integrity
Conceptual Target Architecture
A federated Operating & Governance model will balanced security, efficiency and agility in delivery…
