Digitisation of Rupee transactions is a historical milestone in the Indian banking ecosystem. Under RBI’s Central Bank Digital Currency (CBDC) pilot program, State Bank of India was selected as one of the 9 banks participating in the Wholesale and Retail CBDC pilots aimed at building an enterprise-ready and future-proof digital currency ecosystem to enable regulated digital payments. Quadcentrix (previously known as SettleMint India) assisted SBI’s CBDC implementation efforts, contributing to platform stabilisation across User Acceptance Testing (UAT), Production and Disaster Recovery (DR) environments.
State Bank of India (SBI)
Banking & Financial Services
Government workers tracked via AI Attendance
National chemical safety platform
The critical difference between legacy digital payments and CBDC transactions is that the underlying digital currency token needs to be perfectly synchronized across all participating blockchain nodes, applications and Core Banking Systems (CBS).
During initial platform stabilisation efforts, infrequent token mismatches caused tokens to become stranded (unable to complete payment transactions) or get stuck in reconciliation.
While these cases were few and far between, increased transaction volumes made it difficult to spot and rectify these cases manually.
Purpose-designed capabilities that take AI from concept to production, covering strategy, intelligence, orchestration, and governance.
Strengthened the CBDC platform for production readiness by improving platform stability, operational resilience, and overall deployment confidence across critical banking environments.
Supported seamless deployments across UAT, Production, and Disaster Recovery (DR) environments, ensuring consistent releases and reliable operational execution.
Implemented an Automated Transaction Reconciliation Framework that continuously scans transactions across blockchain nodes, applications, and CBS layers for accurate reconciliation.
Enabled automated notifications for stranded transactions, eliminating manual searches while improving transaction visibility and accelerating operational response.
Enabled rapid token validation and programmatic reconciliation, ensuring transaction correctness while reducing manual intervention and operational effort.
A repeatable, outcome-oriented engagement model that reduces risk at every stage and keeps the business in control.
The CBDC initiative successfully launched as a pilot with 9 participating banks, demonstrating the platform's readiness for enterprise-scale digital currency operations.
The platform rapidly expanded to over 17 banks, supporting the continued growth of India's Digital Rupee ecosystem with increasing institutional participation.
The automated reconciliation framework reduced operational effort while improving transaction reliability, enabling efficient processing of over two lakh retail transactions every day.
The platform established the foundation for next-generation capabilities, including Programmable CBDC for purpose-based digital currency and Offline CBDC for transactions in low-connectivity environments.
The engagement delivered valuable experience in operating enterprise-scale blockchain infrastructure within one of the world's most highly regulated financial services ecosystems, strengthening long-term operational excellence.
We work with leading foundation models, orchestration frameworks, and ML tooling. Each is selected for the use case based on performance, governance fit, and enterprise readiness.
Enterprise permissioned blockchain
Smart contract (chaincode) development
Application and API development
Highly available SQL database
Distributed event streaming
Reliable asynchronous messaging
Container orchestration platform
Scalable production deployment
Continuous production replication
Automated cross-layer validation
Distributed ledger infrastructure
Core Banking System connectivity
Operational visibility and assurance
Real-time stranded transaction alerts
Let’s identify the right use cases, design the right architecture, and deploy AI your business can rely on.
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