About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Broadridge Deepens AI Push with Minority Investment in DeepSee to Transform Post-Trade Operations

Subscribe to our newsletter

Broadridge Financial Solutions has taken a minority stake in agentic AI specialist DeepSee and expanded its partnership to embed intelligent automation into post-trade workflows, marking a strategic advance in its data and AI roadmap for capital markets operations.

Tom Carey, President of Broadridge Global Technology and Operations (GTO), will join DeepSee’s Board of Directors as part of this investment, underscoring the companies’ shared commitment to accelerating AI transformation across capital markets.

The collaboration will focus initially on AI-powered email orchestration, converting traditional inbox activity into structured, automated workflows for post-trade teams.

“DeepSee is an agentic AI platform that converts unstructured data into actionable insights or automated workflows,” explains Santosh Vazarkar, Global Head of Product Management at Broadridge, in conversation with TradingTech Insight. “This is critical for post-trade operations, where email is still dominant. It allows us to better handle the workload by prioritising the right items, improving governance, and automating the underlying tasks.”

By injecting agentic AI into a task domain long dominated by manual effort, Broadridge aims to reduce operational friction, accelerate exception handling and enhance resilience across complex post-trade ecosystems.

Post-trade processing has historically been centred on systems of record, reconciliation engines, messaging interfaces, and exception management tools. But many of the signals that drive day-to-day actions still reside in unstructured formats such as email threads and ad-hoc requests. DeepSee’s agentic AI – trained to interpret and act on these signals – promises to bridge that gap by orchestrating communication into executable workflows.

“Our goal is to integrate workflows that bridge the gap between email and our broader systems,” states Vazarkar. “For instance, when a counterparty asks to affirm a trade, the current process requires a human to manually cross-reference details and draft a reply. We can now automate this by having DeepSee read the email and trigger our OpsGPT interface. The system retrieves the necessary information, matches it, and identifies any discrepancies automatically. We have already proven this concept with standard tasks like trade affirmations and settlement statuses, and we are now applying it to complex challenges like comparing position data against break reports.”

The broader implication is a shift from manual coordination to intelligent orchestration. This could redefine how post-trade platforms manage workload routing, prioritisation and decision rationalisation across asset classes. Building on previous AI partnerships, it also reflects Broadridge’s broader push to embed AI into critical operations, and to differentiate its post-trade stack not just on throughput but on insight-driven execution.

While email orchestration is the initial focus, the deeper signal is that Broadridge sees value in augmenting its core processing footprint with AI models capable of interpreting unstructured data and acting with purpose. How this capability extends into other areas such as automated break prediction, exception triage or cross-system coordination, will be a critical theme for capital markets operations teams.

For clients navigating settlement compression, regulatory complexity and rising throughput demands, the promise of reducing manual workload while boosting decision quality will be compelling. As Broadridge scales these capabilities across its global platform, the DeepSee partnership may serve as a bellwether for how AI agents become integral components of post-trade operational infrastructure.

We already have eight clients live on our Unified UX and OpsGPT platform, using the interface for Post-trade workflows and natural language queries,” notes Vazarkar. “We are now working with them to demonstrate the ‘art of the possible’ and drive that evolution. While the DeepSee integration itself is currently at the proof-of-concept stage, both our GPT interface and DeepSee’s platform are independently live with clients; our focus now is simply on bringing those elements together.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Eventus and IC360 Form Strategic Alliance to Build Integrity Framework for Prediction Markets

Prediction markets have entered a phase of rapid commercial expansion, regulatory scrutiny, and institutional attention. What began as a niche segment centred on retail speculation has evolved into a serious market structure discussion; one that blends characteristics of sports betting, digital assets, and traditional exchange-traded instruments. As liquidity rises and new venues emerge, so too...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Practicalities of Working with the Global LEI

This special report accompanies a webinar we held on the popular topic of The Practicalities of Working with the Global LEI, discussing the current thinking around best practices for entity identification and data management. You can register here to get immediate access to the Special Report.