Agentic AI Driving Efficiency in Financial Operations
Financial services are witnessing a significant transformation as agentic artificial intelligence (AI) is integrated to automate operational workflows. This advancement hinges on a strong, data-centric foundation that delivers measurable value beyond mere technology adoption.
SEI, a leading financial infrastructure provider, has collaborated with IBM to modernize its internal operations by leveraging AI and automation technologies. This partnership targets process redesign and selective system enhancements to ensure a consistent and elevated experience for clients while establishing a modern, data-enabled operational base.
Data-Driven Process Overhaul
Implementing intelligent agent technology involves more than deploying a foundational AI model. Realizing a return on investment requires a thorough audit of existing workflows to pinpoint where human efforts are redundantly spent on administrative, repetitive tasks.
Financial institutions adopting automation for standard queries and routine data entry report reductions in processing times by up to 40 percent. This enables staff to concentrate on managing high-value client relationships and complex problem-solving, ultimately improving service quality.
Assessing Legacy Systems for AI Readiness
One common barrier to AI adoption is the application of new technologies onto outdated or inefficient processes. SEI and IBM Consulting are conducting an exhaustive review of SEI’s operational systems to chart a more effective path forward.
Subject matter experts from SEI collaborate closely with IBM teams to evaluate the existing data architecture, daily operational workflows, and system integrations. This discovery phase is critical for governance, risk management, and ensuring AI tools operate within defined business parameters.
The IBM Enterprise Advantage platform serves as the technical backbone for this transformation, facilitating better decision-making and enhanced client experiences throughout the organization.
Human Oversight Focused on Value Creation
Agentic AI implementation not only boosts productivity but also shifts human oversight toward activities that generate higher value. By automating routine tasks, organizations can deliver more consistent outputs and smoother interactions with clients.
Sean Denham, Chief Financial and Operating Officer at SEI, noted, “Investing in operational excellence is as vital as investing in our service offerings. IBM’s industry expertise complements our strategic vision, enabling us to deploy AI effectively across the enterprise to work more efficiently, innovate faster, and scale confidently.”
Clean, well-governed data is essential for machine learning models to function accurately without errors. The collaboration between financial institutions and technology providers highlights the importance of combining regulatory expertise with engineering capabilities.
Glenn Finch, Head of US Financial Services at IBM Consulting, added, “By merging SEI’s deep business knowledge with IBM’s proficiency in process intelligence and agentic AI, we unlock unprecedented operational efficiencies. This approach strengthens SEI’s market differentiation and scalability.”
Ensuring Safe and Effective AI Deployment
Prioritizing operational resilience and strict data hygiene is critical for safely integrating agentic AI in finance. Before any coding begins, a comprehensive mapping of business processes is necessary to realize improvements in profitability and productivity.
As automation takes over repetitive administrative duties, employees are empowered to focus on strategic, relationship-driven tasks that enhance client trust and create opportunities for professional growth.
This case exemplifies how AI tools, when thoughtfully integrated, are reshaping everyday work in finance, increasing productivity, and driving innovation.
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