Moody's Embeds Credit Intelligence in Microsoft 365 Copilot & Excel

Key Takeaways

• Moody's credit data is now live inside Microsoft 365 Copilot and Excel.
• No custom integration is needed — enterprises activate it within existing workflows.
• Access expands beyond analysts to every user across an organization. 
• Moody's is now embedded in all four major AI platforms: Anthropic, AWS, OpenAI and Microsoft. 

Moody's is bringing its credit data into the tools financial professionals already use — no custom integrations required.

On April 21, 2026, Moody's Corporation announced the next phase of its strategic partnership with Microsoft, embedding its decision-grade intelligence directly into Microsoft 365 Copilot, the Researcher agent and Excel.

According to the companies, the move expands their collaboration from co-innovation to workflow-embedded distribution of Moody’s data across enterprise environments.

"For over 115 years, Moody's has served as the intelligence layer that financial professionals turn to when making consequential decisions," said Rob Fauber, president and CEO of Moody's. "By embedding that intelligence directly into Microsoft's AI solutions at enterprise scale, we're making decision-grade analysis available not just to specialists, but to every person across an organization who needs it."

Table of Contents

• Inside the Integration: 4 Ways Moody's Data Now Surfaces
• From Specialists to the Entire Enterprise
• Part of a Broader AI Distribution Push

Inside the Integration: 4 Ways Moody's Data Now Surfaces

The integration operates across two channels — a dedicated MCP-powered agent and embedded grounding data — delivering Moody's credit intelligence across four Microsoft tools and experiences.

Integration Point	What Users Can Do
Moody’s Agent in Microsoft 365 Copilot	Access Moody's agentic workflows and credit intelligence via MCP, with no custom integration needed
Copilot Chat	Use Moody's data as a grounding source in conversational AI research workflows
Researcher Agent	Surface Moody's entity data and news directly within Researcher workflows
Copilot in Excel	Pull credit ratings, research and entity data into spreadsheet analysis

Moody's connected intelligence spans 600 million entities, two billion ownership links and major domains of risk — and the company says the integration is designed to make AI outputs "valid, explainable and auditable" wherever they are delivered.

From Specialists to the Entire Enterprise

One of the more significant aspects of the integration is who gets access. By embedding credit intelligence into Microsoft's broadly deployed enterprise suite, Moody's extends its data beyond dedicated credit analysts to every user across an institution.

"By integrating Moody's decision-grade insights into Microsoft 365 Copilot, we're making it easier for financial services professionals across the industry to access authoritative data and context in the flow of work — so they can move faster and act with confidence," said Bill Borden, corporate vice president, worldwide financial services, Microsoft.

For enterprises navigating the demands of agentic AI, the governance angle may be just as important as the access angle. Moody's positions its connected intelligence as the trusted context layer that keeps AI-generated outputs traceable and accountable — a meaningful differentiator as financial institutions face increasing scrutiny over how AI is used in high-stakes decisions.

Part of a Broader AI Distribution Push

The Microsoft deal does not stand alone. Moody's has been systematically embedding its intelligence into the leading AI platforms across the industry:

• Anthropic: Moody's entity data integrated into Claude for Financial Services
• AWS: Intelligence available through Amazon's AI marketplace
• OpenAI: Data embedded in OpenAI's platform and marketplace
• Microsoft: Credit intelligence now embedded in Microsoft 365 Copilot, Researcher and Excel

Taken together, the partnerships reflect Moody's stated ambition to serve as the trusted data layer behind high-stakes AI decisions across financial services — positioning itself not as an AI builder, but as the intelligence infrastructure that makes enterprise AI trustworthy.