AI is reshaping how decisions are made across credit and fraud risk. But for financial institutions(FIs), adoption alone will not deliver value. The focus now is on whether data, governance, and operating models can support trusted decision authority driven by AI.
Our research shows that while many FIs are investing in AI, few have been able to scale it consistently across the decisioning lifecycle.
Applying AI within a trusted and controlled decisioning context requires confidence in the data underpinning decisions, clarity of policy, and a deep understanding of the domain in which those decisions are made. Without this, AI remains difficult to scale beyond isolated use cases.
Decision authority defines where and how decisions are made: who (or what) can act, what they can act on, and the limits within which those decisions remain acceptable. More critically, it defines how responsibility is shared between human judgement and automated systems.
