Banks are testing products on fake customers. It's faster, cheaper, and ethically murky.
Financial institutions are quietly substituting real customers with algorithmic clones to bypass stringent data privacy laws and speed up time-to-market.
Testing a new credit card or AI investment app traditionally takes months of vetting. For bank product developers, the synthetic consumer, who never sleeps or complains to regulators, and costs fractions of a penny to interview, represents a faster, highly attractive alternative, prompting adoption across the industry.
U.S. Bank deploys synthetic audiences to model consumer segments, such as high-net-worth households, and test messaging and refine campaigns before launch. Regulatory sandboxes encourage this practice to keep pace with AI-driven fintech. Barclays, Lloyds Banking Group, and UBS are part of the UK FCA’s AI Live Testing initiative, utilizing advanced AI systems to test products and simulate market stressors.
NatWest, Monzo, and Santander, meanwhile, explore synthetic data ecosystems to train AI models, while JPMorgan Chase generates synthetic financial data to simulate market behaviors for risk management and product design.
Adoption Accelerates, Zero Governance
Industry experts warn that the true challenge is balancing the speed of agentic AI with the need for strong governance.
“Most banking leaders believe agentic AI can move faster if governance weren’t perceived as a constraint. But in practice, governance is what makes these systems deployable at scale. A critical part of that is robust testing against representative ground truth, and synthetic data provides a powerful proxy that enables banks to stress-test products against rare scenarios and edge cases,” said Mudit Gupta, EY Americas Financial Services Consulting AI Practice Leader.
“The trade-off,” he added, “is privacy: synthetic data is often treated as inherently safe when it can still leak sensitive signals through inference and linkage risks. It can also replicate and scale historical biases, embedding them behind a layer of abstraction that makes them harder to detect, audit, and challenge—turning a governance shortcut into a long-term ethical exposure.”
Ultimately, the rush to deploy synthetic consumers offers undeniable speed, but the industry must quickly confront whether these powerful proxies—if not rigorously governed—will fulfill their purpose as a testing shortcut or simply institutionalize Wall Street’s next major ethical crisis.
This article appears in the June 2026 issue of Global Finance Magazine.