SEI
16 Case Studies
A SEI Case Study
A financial services organization sought to understand how to purposefully apply artificial intelligence across its enterprise but lacked a clear framework for readiness and governance. Facing uncertainty around compliance and data quality, the organization partnered with SEI to conduct an Enterprise AI Readiness & Opportunity Assessment to avoid fragmented adoption and misaligned investments.
SEI designed an enterprise-wide assessment grounded in four core pillars: process optimization, technology enablement, data modernization, and regulatory compliance. The solution involved conducting stakeholder interviews, identifying data governance gaps, and developing a prioritized portfolio of AI use cases. This provided the organization with a clear and actionable roadmap, giving leadership visibility into current-state gaps and creating executive alignment for a secure and scalable AI implementation.
Financial Services Organization