Broadridge Launches Agentic AI Capabilities For Capital Markets And Wealth Management

Broadridge Financial Solutions (NYSE: BR) has announced the live production deployment of its agentic AI capabilities, designed to autonomously analyse, prioritise, and resolve operational exceptions across capital markets and wealth management workflows. New clients are projected to achieve up to a 30% day one operational cost reduction through two partnership models: full managed services or standalone deployment of Broadridge's platform into their own infrastructure.
 

Broadridge's agentic capabilities have been refined through production deployments within its managed services BPO, serving over 40 clients since 2024. This system processes millions of operational transactions monthly across post-trade, account management, and client services, adhering to the scale, controls, and regulatory expectations of leading financial institutions. This extensive training provides a depth of experience unparalleled by any single institution.
 

Tom Carey, President of Global Technology & Operations of Broadridge

Tom Carey, President of Global Technology & Operations of Broadridge commented:

“We believe the firms that lead in the next era of financial services will be the ones that embed AI directly into the way work gets done. Broadridge is uniquely positioned to support that shift by combining a fully integrated financial services ontology with the platform depth and operational scale required for institutional production. That gives the world's most demanding clients a new ability to deploy agentic AI across complex workflows with a level of control, efficiency, and confidence that fragmented point solutions cannot match.”

Firms can choose between two primary paths for agentic operations. For those seeking comprehensive operational transformation, Broadridge's managed services model provides end-to-end operations, integrating domain expertise, staffing, and agentic technology. New managed services clients can anticipate up to a 30% cost reduction upon deployment, with additional shared savings as the AI's performance enhances.

Alternatively, firms looking to integrate agentic intelligence into their existing operations can deploy Broadridge's platform via open-standard APIs, accessing the same production-grade capabilities. Both approaches are built upon Broadridge's established financial services data ontology.
 

Broadridge's AI trading platforms are designed to chain together real-time data and operational context, enabling agents to analyse issues, prioritise exceptions, and initiate resolutions. This reduces manual burdens and allows human experts to focus on complex cases, client service, and risk mitigation. Currently in production, these capabilities include automated trade fails management, break resolution, account opening and maintenance workflows, real-time valuation exception handling, customer inquiry automation, and email workflow processing, facilitated by DeepSee, Broadridge's AI-native workflow automation partner. All workflows operate within a human-supervised architecture, ensuring the necessary oversight, auditability, and regulatory control for financial institutions. Further agents are in development and will be announced in upcoming quarters.
 

The Broadridge platform operates on four integrated layers. The Data Layer, powered by the Broadridge ontology, establishes a normalised, trusted foundation. The API Layer facilitates open-standard integration across Broadridge products and third-party systems. The Workstation Layer offers operations professionals a unified view of queues, exceptions, and required actions in real time. Finally, the Agentic Intelligence Layer transforms this visibility into actionable outcomes, shifting operations from mere reporting to decisive action.
 

Fragmented and disconnected data presents a significant hurdle for AI adoption in financial services. General-purpose AI tools deployed on disparate systems often yield inconsistent outputs and limited operational value.

Broadridge addresses this through a single, normalised data layer, integrating decades of transactional and operational intelligence into a coherent, machine-readable model. This ontology leverages over 60 years of operational experience, USD 15 trillion in daily trading activity, and the processing of billions of transactions annually across various asset classes and numerous clients. This scale, breadth, and depth of normalisation are unique in the industry, making Broadridge the first firm to fully integrate this capability at an institutional level.

This foundation is crucial for enabling production-grade agentic deployment, distinguishing it from experimental approaches.
 

Broadridge's framework is built on open standards, with an API-first approach, allowing firms to deploy Broadridge-provided agentic workflows or integrate their own. The company is also considering making core elements of its ontology available as an open industry resource. This initiative aims to accelerate industry-wide adoption of agentic AI on a trusted, normalised data model, preventing individual market participants from having to solve data fragmentation independently. This approach benefits the broader financial ecosystem, including liquidity providers and prime brokerages, by fostering a more efficient and interconnected operational landscape.
 

The advancements in agentic AI by Broadridge directly impact the operational efficiency and risk management capabilities of financial institutions, including those in institutional FX and prime brokerage. As these technologies become more sophisticated, they will redefine how market participants, from large banks to specialised Prime Broker vs Prime of Prime brokers, manage their trade flows, client services, and overall infrastructure. The ability to autonomously resolve exceptions and streamline complex processes is paramount for maintaining competitive edge and ensuring robust, compliant operations in high-volume trading environments.
 

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