Recommended actions

Seizing the AI opportunity requires more than experimentation. It calls for decisive action across leadership, technology, data and talent. The following actions distill where banks should focus their efforts to unlock client value and achieve sustainable transformation.

Set clear expectations for how business teams drive the AI agenda and create guidelines for teams to use pre-established capabilities.
Give senior executives full oversight of AI use cases, with guidelines that ensure consistency and build trust in delivery.
Prioritize client-facing applications over back-office efficiency to unlock new growth opportunities.

Create a unified AI platform to improve consistency, scalability and trust across the business.
Assess cloud vs. on-premises and build-vs.-buy models to match your needs — and partner early with vendors as solutions mature.
Update risk frameworks and governance to support the growing scale and complexity of GenAI.

Identify and close data gaps, using AI-powered tools to improve accuracy, quality and compliance.
Define consistent ROI metrics for every AI use case to give executives full oversight of progress.
Experiment with AI-enabled measuring tools to sharpen ROI calculations and uncover hidden value.

Promote new team structures that foster collaboration; for example, involving risk teams early to ensure AI threats are addressed from the start.
Identify and build the new skills required to scale AI effectively, from data science and analytics to security.
Continuously upskill and retain talent, developing programs that keep employees engaged and ensure long-term capability.