The confidence gap holding back AI in financial services
The confidence gap holding back AI in financial services
Ben Saunders contributed a thought leadership piece to Finance Derivative on the gap between AI experimentation and production deployment in financial services.
The article covers:
Why the sector has moved from asking whether to adopt AI to how to deploy it responsibly at scale, while many pilots still fail to deliver measurable outcomes
Internal confidence as a deeper blocker than regulation alone: trusting how systems will be deployed and managed once they leave a controlled pilot
Designing AI into the operating model with clear controls and a value case teams can support, rather than treating governance as a late-stage add-on
Building shared understanding across risk, compliance, operations, and business stakeholders on why a system exists and how success is measured
Repeatable evaluation approaches that give leaders visibility into performance, decision-making, and where human intervention is required
