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

LSEG and Bank of America Target AI-ready, Governed Data Integration in Multi-Year Partnership

Subscribe to our newsletter

London Stock Exchange Group (LSEG) and Bank of America have agreed a multi-year strategic partnership centred on embedding governed, AI-ready data and analytics directly into the bank’s core workflows.

Rather than a distribution agreement focused on access, the collaboration reflects a broader architectural shift: integrating unified, rights-cleared content, analytics and risk intelligence across advisory, trading, risk and regulatory functions.

Under the agreement, LSEG’s data and analytics capabilities will be made available across key areas of Bank of America’s business, with the objective of enabling faster analysis, stronger governance and more consistent insight generation across client-facing and internal workflows.

Central to the partnership is the provision of governed access to high-quality, rights-cleared content – a prerequisite for institutions seeking to scale AI-driven analytics without introducing compliance or data lineage risk. LSEG will also supply AI-ready content designed to accelerate analysis and enhance insight generation across client workflows.

The partnership provides Bank of America with access to LSEG’s integrated workflow solutions, led by LSEG Workspace and supported by APIs and enterprise platforms. By embedding these capabilities within its own ecosystem, the bank aims to streamline how data flows across systems, reducing fragmentation between analytics, execution and oversight functions.

In parallel, the integration of LSEG’s World-Check risk intelligence data is intended to reinforce the consistency and reliability of compliance, screening and monitoring processes across markets and jurisdictions. Bringing revenue-generating analytics and risk intelligence under a unified framework reflects the growing convergence of front-office performance and governance requirements.

“Trusted, high quality data is essential to how we support clients and manage risk,” comments Fernando Vicario, CEO of Merrill Lynch International and UK Country Executive at Bank of America. “Partnering with LSEG provides a unified, governed source of intelligence that strengthens our solutions, empowers client decision making and enhances how we innovate and execute. Integrating LSEG’s capabilities across our workflows will enable faster insight generation and a more seamless experience for our clients.”

Gianluca Biagini, Group Co-Head, Data & Analytics, LSEG, adds: “By powering Bank of America’s ecosystem with our analytics and workflows, including LSEG Workspace, we are supporting the bank’s transformation ambitions while strengthening governance and risk management. This will equip Bank of America with the trusted data needed to deliver deeper insights, streamline decision making and drive new value across client workflows.”

The enhanced capabilities aim to support use cases spanning advisory and investment workflows, trading, risk oversight and regulatory processes. By consolidating analytics, workflow tools and risk intelligence within a governed, AI-ready data framework, the partnership reflects how large financial institutions are re-architecting their data estates to support scalable automation, measurable governance and consistent client outcomes.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Reporting Handbook – First Edition

Welcome to the inaugural edition of A-Team Group’s Regulatory Reporting Handbook, a comprehensive guide to reporting obligations that must be fulfilled by financial institutions on a global basis. The handbook reviews not only the current state of play within the regulatory reporting space, but also looks ahead to identify how institutions should be preparing for...