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










