Broadridge Financial Solutions has moved agentic AI out of pilot territory and into live production across capital markets and wealth management workflows, offering institutional clients two routes to deployment and citing up to 30% Day 1 operational cost reduction for managed services engagements.
The firm's AI agents are now processing trade fails management, account opening, real-time valuation exceptions, and customer inquiry handling for more than 40 clients, with millions of operational transactions running through the system monthly. Broadridge says the production base, built inside its managed services BPO since 2024, gives it a training depth that no individual institution can replicate internally.
Two partnership models are on offer. Under the full managed services route, Broadridge takes end-to-end responsibility for operations, combining domain expertise with its agentic platform under a single contract. Under the standalone deployment path, clients integrate the same production-grade capabilities into their own infrastructure via open-standard APIs. Broadridge claims the Day 1 cost reduction applies to the managed services path, with further shared savings accruing as the AI system improves.
The operational AI sits on what Broadridge describes as the industry's first completed financial services data ontology — a normalised data layer covering more than $15 trillion in daily trading activity, billions of transactions annually, and over 60 years of operational history across multiple asset classes. The company argues that fragmented, disconnected data is the primary obstacle to meaningful AI deployment in financial services, and that normalising it at institutional scale is the structural advantage that differentiates its approach from point solutions.
All workflows operate within a human-supervised architecture, with auditability maintained throughout for regulatory compliance.
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 also exploring making core elements of its ontology available as an open industry resource, which would allow other market participants to build on the same normalised data foundation rather than each institution solving data fragmentation independently.
