India's major public and private banks operate on one of three Core Banking Systems: Infosys Finacle, TCS BaNCS, or Oracle Flexcube. This structural concentration was a feature, not a flaw—it allowed the Indian banking ecosystem to digitize at scale over two decades. But that same consolidation now presents a strategic liability as banks compete on speed and intelligence.
When an entire industry relies on the same legacy architectures and integration models, innovation speed is capped by the slowest component. Banks cannot move faster than the monolithic core allows. Product launches, data flows, and risk controls all bottleneck at legacy layers never designed for real-time AI workloads.
The strategic conversation has shifted. Banks are no longer debating core banking replacement—a multi-year, liability-laden undertaking. Instead, forward-thinking institutions are building composable, AI-native architectures around their existing cores, using API-first integration, event-driven microservices, and modular capability stacks.
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