How Agentic AI Transforms Finance Operations Through Faster Automation

In the rapidly evolving financial services landscape, achieving operational automation through agentic AI integration demands a robust, data-centric foundation to unlock genuine business value and sustainable competitive advantages.

SEI, a leading financial infrastructure provider, has partnered with IBM to comprehensively modernize its internal operations leveraging advanced AI technologies and intelligent automation. This strategic collaboration emphasizes process redesign and targeted system enhancements to deliver consistent, superior client experiences while establishing a modern, data-enabled operational foundation.

Deploying intelligent agents extends far beyond simply selecting a foundation model. The actual return on investment depends on thoroughly auditing existing workflows and identifying precise friction points where human effort is unnecessarily consumed by repetitive administrative tasks.

Financial institutions worldwide are discovering that when automation handles standard queries and routine data entry, they can reduce processing times by up to 40 percent, enabling personnel to concentrate on high-value client relationship management and strategic advisory services.

📋 Auditing Legacy Finance Processes for Agentic AI Readiness

AI adoption frequently stalls when organizations attempt to apply cutting-edge technologies to fundamentally broken operational pipelines. SEI and IBM Consulting are conducting a comprehensive, systematic review of the financial firm's current operational systems to chart an optimized transformation pathway.

Subject matter experts from SEI are collaborating directly with IBM specialists to assess underlying data architecture, legacy systems, and daily operational routines. This critical discovery phase strengthens governance frameworks and enhances risk management protocols.

Identifying precise opportunities to embed intelligent agents ensures these tools operate within clearly defined boundaries while adapting to evolving business requirements. The IBM Enterprise Advantage platform serves as the technical foundation for this comprehensive overhaul, guiding deployment strategies to improve decision-making capabilities across the organization and elevate client experiences.

Sean Denham, Chief Financial and Chief Operating Officer at SEI, explained: "As SEI enters its next growth phase, investing in how we operate is equally critical as investing in what we deliver. IBM brings deep industry knowledge and technical expertise that will build upon our strong operational foundation and strategic vision. By deploying and scaling AI across the enterprise through a disciplined, data-driven approach, we will work more efficiently, innovate faster, and scale with confidence."

💼 Directing Human Oversight Toward Strategic Value Creation

Implementing agentic AI systems can directly transform workforce productivity across industries, extending well beyond the financial services sector. Expanding automation of routine tasks enables organizations to improve output consistency and streamline client interactions. Employees liberated from manual data entry can redirect their expertise toward complex problem-solving, strategic planning, and proactive client support.

"Automation will enable our teams to spend less time on manual, repetitive work and more time on higher-value, relationship-driven activities—further elevating service quality, strengthening client trust, and creating expanded opportunities for professional growth and development," said Denham.

Machine learning models require clean, well-governed information to function accurately without generating costly errors. Strategic partnerships between established financial institutions and major technology vendors underscore the critical necessity of combining deep regulatory knowledge with advanced engineering resources.

Glenn Finch, Head of US Financial Services at IBM Consulting, commented: "SEI has earned a long-standing reputation for operational excellence and building integrated solutions in a complex, highly regulated industry. By combining SEI's deep business knowledge with IBM's expertise in process intelligence and agentic AI, we can unlock unprecedented levels of efficiency across the enterprise. With streamlined operations and data-centric insights embedded into daily workflows, SEI is strengthening its ability to scale while further differentiating itself in the competitive marketplace."

🔒 Key Takeaways for Financial Services Transformation

Prioritizing operational resilience and strict data hygiene enables financial organizations to implement agentic AI safely and effectively. Achieving sustainable P&L improvements requires thoroughly mapping business processes before developing any technical solutions.

The SEI-IBM partnership demonstrates how strategic AI implementation combined with comprehensive process optimization can drive transformational outcomes in highly regulated industries, setting new benchmarks for operational excellence and client service delivery.