Broadridge Launches Agentic AI for Capital Markets to Slash Operational Costs by 30%

Quick Summary

Broadridge has launched agentic AI capabilities at institutional scale, enabling financial firms to autonomously resolve operational exceptions. By utilizing a completed financial services data ontology, the platform delivers up to 30% operational cost reduction across capital markets and wealth management workflows through managed services or standalone API integration.

How Does Agentic AI Reduce Operational Costs for Banks?

Agentic AI solves the problem of manual exception handling by autonomously analyzing and resolving breaks without constant human intervention. By deploying this technology, institutions can achieve an immediate 30% reduction in operational expenses. The system is designed to chain together real-time data and operational context to move from simple reporting to active decision-making.

• Automated trade fails management and break resolution.
• Real-time valuation exception handling for complex portfolios.
• Account opening and maintenance workflow automation.
• Email workflow processing delivered via partnership with DeepSee.

What Makes the Broadridge Financial Services Data Ontology Unique?

The foundation of this rollout is the industry’s first completed financial services data ontology, which normalizes decades of transactional intelligence. Unlike general-purpose AI, this model is trained on $15 trillion in daily trading activity and billions of annual transactions. This normalized data layer ensures that the AI produces consistent, institutional-grade outputs rather than the hallucinations common in fragmented systems.

• 60 years of deep operational experience integrated into the model.
• 40+ clients already utilizing the tech in production since 2024.
• Open-standard APIs allowing for seamless third-party infrastructure integration.

“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,” said Tom Carey, President of Broadridge’s Global Technology & Operations business. “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.”

FF NEWS TAKE:

This announcement absolutely moves the needle. While many fintechs are still experimenting with LLM wrappers, Broadridge is deploying agentic AI at a massive institutional scale. The 30% cost reduction is a staggering Day 1 metric that will force Tier-1 banks to accelerate their automation roadmaps. By solving the data fragmentation issue with their proprietary ontology, Broadridge has effectively built the operating system for the future of autonomous capital markets.