Why the future of AI in banking depends on trust, not trials

Why the future of AI in banking depends on trust, not trials

The Fintech Times published a thought leadership piece featuring Ben Saunders on moving AI from experimentation to embedded capability in banking.

The article covers:

  • Why heavy investment in AI has not stopped many generative AI projects stalling after proof of concept in financial services

  • Reframing scale as an operating-model challenge: organisational confidence, governance, and monitoring, not regulation alone

  • The “pilot factory” risk when proofs of concept multiply without capabilities that change day-to-day operations

  • Alignment between leadership, technology, compliance, and operations, and the need to explain value through measurable outcomes such as faster decisions, resilience, or reduced workload

  • Treating adoption as operating-model change: involving risk and compliance early, with visibility into how systems perform and where human oversight applies

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