Agentic Quantum Banking
In an Agentic Quantum Banking System, quantum resources should be concentrated where complexity explodes exponentially, while classical AI remains dominant for routine workflows.
1. Customer Intelligence Agent
Customer acquisition, retention, pricing & product recommendations by Quantum clustering, nearest-neighbor search & recommendation systems.
2. Fraud & Financial Crime Agent
Detection of fraud, AML, Sanctions violations & Insider trading by Quantum graph analytics, search algorithms & anomaly detection.
3. Risk Intelligence Agent
Management of Credit risk, Market risk, Operational risk & Enterprise risk by Quantum Amplitude Estimation, Monte Carlo & Bayesian networks.
4. Treasury & Liquidity Agent
Maintain survival of the bank. Responsible for Liquidity, Funding, Cash flow & Capital allocation by Quantum annealing, optimization algorithms & network optimization.
5. Investment & Portfolio Agent
Management of Asset portfolios, Wealth management, Trading books & Derivatives by Quantum optimization, Monte Carlo & pricing models.
6. Governance & Resilience Agent
Protect the bank from collapse. Responsible for Compliance, Cybersecurity, Operational resilience, Recovery planning & Systemic risk monitoring by Quantum Cyber threat graph analysis, Systemic network analysis & Dependency mapping.
The greatest quantum computational opportunity lies in portfolio optimization & risk simulation, but the greatest existential value for a bank lies in liquidity survival, enterprise risk aggregation & systemic resilience. An Agentic Quantum Banking System should therefore allocate scarce quantum resources first to survival optimization, then to profitability optimization.
Using the following link you can access this sandbox SIPOC model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne SIPOC map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/iNoZSTkVZ1h5AyZcdNQYmBRe/frontend