Financial services firms have been under mounting pressure to modernize legacy infrastructure while maintaining regulatory compliance — making the timing of SEI‘s latest move particularly telling.
The financial infrastructure provider has engaged IBM to overhaul its internal operations through AI and automation. According to the announcement, the joint initiative centers on process redesign and targeted system updates, with the stated aim of delivering consistent client experiences and building what both firms describe as a modern, data-enabled foundation.
The partnership is not simply a technology deployment. SEI subject matter experts are working directly alongside IBM Consulting to audit the firm’s current operational systems — assessing data architecture, existing workflows, and daily routines before any agents are introduced. That discovery phase, the announcement says, also serves governance and risk management purposes.
Why auditing comes before automation
The emphasis on pre-deployment review reflects a broader pattern in enterprise AI adoption. Applying new tools to flawed processes tends to replicate — rather than resolve — inefficiency. IBM‘s Enterprise Advantage platform will serve as the technical base for the overhaul, guiding deployment to improve decision-making and enhance client experience across the firm.
Financial institutions that automate standard queries and basic data entry can reduce processing times by up to 40 percent, the report states, freeing personnel to manage higher-value client relationships. The model depends entirely on clean, well-governed data — machine learning systems operating on poor-quality inputs generate errors rather than efficiency gains.
Sean Denham, Chief Financial and Chief Operating Officer at SEI, framed the initiative in strategic terms: “As SEI enters its next phase of growth, investing in how we operate is just as critical as investing in what we deliver. 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.”
Redirecting human effort toward higher-value work
Workforce impact sits at the center of the stated rationale. Employees no longer occupied with manual data entry are expected to redirect their time toward complex problem-solving and proactive client support.
Denham described the expected shift directly: “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 trust among our clients, and creating more opportunities for professional growth.”
Glenn Finch, Head of US Financial Services at IBM Consulting, pointed to the regulated nature of the environment as a defining factor: “By combining SEI’s deep knowledge of its business with IBM’s expertise in process intelligence and agentic AI, we can unlock new levels of efficiency across the enterprise. With streamlined operations and data-centric insights embedded into how work is performed, SEI is strengthening its ability to scale while further differentiating itself in the market.”
The announcement states that achieving profit and loss improvements requires thoroughly mapping business processes before any code is written — positioning the current audit phase as the prerequisite to everything that follows.
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