Impact Study
As financial services’ AI arms race accelerates, institutions must now begin to produce concrete results for the benefit of their clients, internal operations, and investors. How can FIs ensure their AI implementations live up to expectations?
The financial services industry is past the point of experimenting with artificial intelligence (AI). Statista finds that AI investment across the sector reached an estimated $45 billion USD in 2024 versus $35 billion in 2023 – with almost 70% of financial services firms having reported AI-driven revenue increases.
Yet, despite this overwhelming buy-in, it seems that countless institutions still do not access the full potential of their investments. Gartner predicts that over 40% of agentic AI projects (one of the technology’s latest use cases) will be cancelled by the end of 2027. In the United States, meanwhile, bank productivity is declining despite the sector’s high technology spend, underlining an urgent need to more effectively implement AI.
The key to unlocking AI’s enterprise value is embedding it within orchestrated, automated processes. This provides AI with governance, auditability, and the flexibility to adapt in real-time. In fact, the firms that embed AI within orchestrated, governed processes will lead the next era of technological transformation.
This Finextra impact study, in association with Appian, analyses the gap between AI’s potential and its current impact. We explore:
The current state of AI in financial services;
The orchestration imperative;
How to successfully scale AI; and
Case studies for real-world AI implementation.
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