iC4 Agentic AI Data Modernization Platform for BFSI

Banks and financial institutions operate complex legacy data ecosystems across core banking systems, mainframes, and siloed data platforms. Modernizing these environments is critical for enabling analytics, AI, and digital transformation—but traditional approaches are manual, time-consuming, and difficult to scale. This challenge is especially critical in banking and financial services, where legacy data systems, regulatory requirements, and data consistency directly impact compliance, risk management, and reporting accuracy. This results in: • Long timelines for legacy-to-cloud migration initiatives • High dependency on manual data engineering and legacy skillsets • Inconsistent data definitions across systems and business units • Limited data lineage, governance, and auditability • Challenges in enabling advanced analytics and AI capabilities Apexon’s iC4 Agentic AI Data Modernization Platform addresses these challenges by enabling banks and financial institutions to modernize legacy data systems while maintaining regulatory compliance and governance. The platform uses intelligent AI agents to automate key data engineering tasks—including ingestion, transformation, validation, and pipeline generation—enabling organizations to transition from legacy systems to scalable, cloud-native architectures faster and more efficiently. Built on AWS and designed for enterprise-scale data environments, iC4 combines automation, governance, and intelligence to simplify and accelerate data modernization initiatives. Key Capabilities • Agentic AI Data Operations AI agents autonomously manage data ingestion, transformation, validation, and orchestration, reducing manual intervention and accelerating delivery. • Automated Pipeline Generation Metadata-driven framework creates scalable, reusable data pipelines with minimal engineering effort. • Banking Data Transformation & Schema Mapping Automates schema conversion and data standardization across legacy and modern systems. • Regulatory Data Governance & Lineage Ensures end-to-end traceability, auditability, and compliance across all data flows. • Legacy Banking System Modernization Support Enables seamless transition from legacy to cloud environments with support for hybrid architectures. • AWS-Native Integration Leverages AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and Amazon Bedrock for scalable data processing, storage, and AI-driven automation. Business Outcomes Organizations using iC4 can: • Accelerate modernization of core banking and regulatory data platforms • Ensure regulatory compliance, auditability, and strong data governance across banking data ecosystems • Reduce dependency on legacy systems and manual reconciliation • Enable faster regulatory reporting and risk analytics • Improve operational efficiency through automated and standardizeddata pipelines • Enable faster time-to-insight for risk, finance, and customer analytics Typical Results • 60–80% faster data modernization timelines • Up to 70% reduction in manual data engineering effort • Improved regulatory compliance readiness through enhanced auditability and governance • Faster time-to-value for risk, finance, and analytics use cases
Use Cases • Core banking data migration from mainframes to AWS • Regulatory data consolidation and reporting (BCBS, IFRS, etc.) • Risk, finance, and treasury data modernization • Customer 360 and data unification for banking analytics • Data lineage and auditability for compliance and reporting Ideal For • Banks and financial institutions undergoing data modernization • BFSI organizations with legacy core systems and data silos • Institutions requiring strong data governance and regulatory compliance • Enterprises enabling AI-driven risk, finance, and customer analytics Cloud-Native Architecture iC4 is built on a scalable, cloud-native architecture and integrates seamlessly with AWS services, enabling organizations to leverage real-time data processing, AI-driven automation, and enterprise-grade data infrastructure through AWS Marketplace deployment.