Traditional banking relies on outdated systems that cause cross-border payments to take two to five days, cost over $30 per transaction, and leave about 1.7 billion adults without access to formal financial services. This paper proposes a smart banking framework that combines a hybrid blockchain design with an artificial intelligence (AI) analytics engine to deliver digital-currency-based services. The system uses a permissioned Hyperledger Fabric ledger for wholesale central bank digital currency (CBDC) settlement under regulatory oversight and a public Ethereum-compatible sidechain for programmable retail services secured by zero- knowledge proofs. An AI module—including a random forest fraud detector, an XGBoost credit scorer,and an LSTM liquidity forecaster—continuously analyses both on- chain and off- chain data. A 30-day simulation with 10 banks, 10,000 users, and 550,000 transactions shows that cross- border settlement time drops from 2.5 days to 8.7 seconds (a 99.9% improvement), transaction costs fall from $32.50 to $0.19 (a 99.4% reduction), and financial inclusion rises by 22% (minimum account balance lowered from $500 to $5). The design satisfies regulatory demands through immutable audit trails and selective transparency. This work demonstrates that bringing together blockchain, CBDCs, and AI can turn banking from a slow, siloed, batch-based model into a fast, programmable, and inclusive ecosystem. Keywords: Blockchain, central bank digital currency (CBDC), artificial intelligence, smart banking, financial inclusion, Hyperledger Fabric, zero-knowledge proofs, smart contracts.