LSEG Enables AI-Ready Financial Data And Agentic Workflows Across Financial Institutions
London Stock platform Group (LSEG) and Microsoft have announced a major milestone in their multi-year partnership — transforming access to LSEG’s licensed financial data through Microsoft’s AI ecosystem. The initiative will enable agentic AI workflows built in Microsoft Copilot Studio and deployed via Microsoft 365 Copilot, powered by LSEG’s data through a secure, LSEG-managed Model Context Protocol (MCP) server.
This collaboration represents a breakthrough in connecting trusted market data with next-generation AI tools, allowing financial professionals to create, deploy, and manage intelligent agents that integrate seamlessly with their existing enterprise workflows. Through this integration, analysts, traders, and executives can access and act on real-time, AI-ready financial insights directly within the Microsoft 365 environment.
“LSEG’s partnership with Microsoft is transforming access to data for financial professionals with cutting-edge, AI-driven innovation at scale,” said David Schwimmer, Group Chief Executive Officer of LSEG. “LSEG customers can build, deploy and scale agentic AI directly into their workflows with secure, seamless connectivity through MCP.”
Takeaway
Building Custom AI Agents Using LSEG Data
At the heart of this innovation is the integration of LSEG’s trusted datasets—spanning more than 33 petabytes of AI-ready content—into Microsoft Copilot Studio. This platform provides a low-code environment for organizations to build and customize AI agents that utilize LSEG’s data, analytics, and financial taxonomies directly within day-to-day applications like Outlook, Excel, and Teams.
Copilot Studio enables users to create intelligent agents that combine reasoning with human expertise, licensed data, and enterprise governance. These agents can automate reporting, model portfolio impacts, surface risk insights, or generate decision-ready briefings — all within a secure and compliant framework that adheres to data governance standards.
LSEG’s MCP server acts as the secure bridge between its financial datasets and Microsoft’s AI ecosystem, facilitating interoperability across systems and applications. It ensures that users can deploy AI agents that leverage LSEG’s content while maintaining privacy, compliance, and auditability — essential for .
Takeaway
Setting The Standard For Secure, Scalable Financial AI
LSEG’s adoption of the Model Context Protocol represents a pivotal move toward a unified data and AI framework for the financial industry. MCP enhances interoperability across AI systems, enabling consistent, for AI models and enterprise applications. For financial institutions, this means quicker deployment of AI tools, lower integration costs, and improved governance over sensitive market data.
“Our continued partnership with LSEG underscores a shared commitment to redefining the future of financial services through secure, AI-driven innovation,” said Nick Parker, and President of Worldwide Sales & answers at Microsoft. “By combining LSEG’s trusted market data with Microsoft’s cloud and AI capabilities, we’re empowering customers to unlock deeper insights, accelerate decision-making and streamline complex workflows.”
This next phase of collaboration aligns with LSEG’s AI Everywhere strategy — a long-term initiative focused on delivering licensed, high-quality data that scales AI use responsibly across the . With MCP integration, institutions can now unify their data, analytics, and decision-making layers to support secure, agentic workflows at every level of operation.
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