Moody's AI Strategy to Improve Business Workflows

Moody's Corporation has released its first library of platform-agnostic AI skills that convert analytical frameworks into natural language prompts. The move could represent a new distribution channel for financial intelligence services across multiple AI platforms.

The skills launched on Microsoft 365 Copilot Cowork and will expand to other compatible AI platforms. Customers can execute multi-step analytical workflows through single requests rather than navigating separate software interfaces.

These instruction kits encode analytical frameworks developed by Moody's and connect AI agents to its proprietary intelligence. The software uses ratings, research and risk data owned by Moody's Corporation to generate outputs.

Cristina Pieretti, Head of Digital Content and Innovation at Moody's, says: "Moody's is among the first financial data providers to deliver a full library of skills on an open standard and today's launch is just the beginning."

Targeting high-value customer workflows

The company has published its analytical frameworks as portable skills that operate on platforms where financial professionals already work. This strategy could embed Moody's intelligence into daily workflows without requiring customers to switch between applications.

The initial release addresses five financial workflows where analytical expertise is concentrated:

• Earnings Call Summary: extracts revenue trends, pricing dynamics, consumer health and tariff exposure from transcripts.
• Peer Analysis: compares leverage, profitability, ESG and credit quality across companies.
• Public Information Book: compiles financial data, governance structures, competitive positioning and risk profiles for single entities.
• Rating Pitch: creates structured presentations with sector context, rating history and peer comparisons.
• Sector Analysis: merges proprietary research with market intelligence for sector-level assessments.

Each skill defines analytical procedures and quality standards to produce outputs for regulated environments. The instructions specify how work gets done while Model Context Protocol servers connect those instructions to underlying data.

Open standards enable platform expansion

MCP functions as an open standard that allows AI agents to access ratings, research and risk intelligence from Moody's Corporation directly. This grounds outputs in proprietary data sets rather than publicly available web content.

The skills use the SKILL.md format that originated with Anthropic and has been adopted by OpenAI, Microsoft, Google and Amazon. Because the format is open, each skill can operate across multiple platforms without redevelopment.

This portability could mean the analytical frameworks Moody's encodes become reusable assets rather than platform-specific integrations. A single skill file can deploy across any compatible system.

Growth strategy through expanded coverage

Moody's Corporation plans to develop additional skills for credit analysis, lead generation, third-party due diligence and insurance underwriting. These additions will extend the company's analytical frameworks into more workflows where financial professionals make decisions.

Each new skill will follow the same open standard architecture. This approach could allow Moody's to scale distribution of its intelligence products without building separate integrations for each AI platform that enters the market.

The expansion strategy targets workflows where expertise is currently manual and time intensive. By converting that expertise into executable skills, Moody's could increase the addressable market for its data products beyond traditional financial analysis software.