---
id: "entity-moodys"
type: "entity"
entityType: "organization"
canonicalName: "Moody's"
aliases: ["Moody's Corporation", "Moody's Analytics"]
source_timestamps: ["¶1"]
tags: ["financial-institution", "legacy-enterprise"]
related: ["entity-rob-fauber", "entity-steve-tulenko"]
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-93-legacy-financial-all-in-genai"
sourceUrl: "https://hbr.org/2025/03/how-a-legacy-financial-institution-went-all-in-on-gen-ai"
sourceTitle: "How a Legacy Financial Institution Went All In on Gen AI"
---
# Moody's

## Moody's (organization)

A **century-old legacy financial institution** whose core business is the methodical **assessment of risk**. Its **analytics division generates $750 million annually** from producing and distributing research reports.

Moody's is the protagonist of this case study: a conservative, highly regulated firm that made a **contrarian all-in bet** on generative AI. → central bet: [[concept-inaction-risk-calculation]].

### Key people & internal groups
- CEO: [[entity-rob-fauber|Rob Fauber]] — championed the AI transformation.
- President of Moody's Analytics: [[entity-steve-tulenko|Steve Tulenko]] — drove the 'apply off-the-shelf models to proprietary data' strategy.
- Enablement team: [[entity-gig|Generative Intelligence Group (GiG)]].

### Products / initiatives
- [[entity-moodys-research-assistant|Moody's Research Assistant]] — first commercial Gen AI product.
- [[entity-recon-ai|Recon.AI]] — internal multi-agent risk-report initiative.

### Partnerships
- [[entity-microsoft-azure|Microsoft Azure]] (secure cloud + OpenAI models).
- [[entity-aws-bedrock-agents|AWS Bedrock Agents]] (agentic showcase).

### Enrichment note
Moody's public materials describe its GenAI offerings as applying cutting-edge GenAI to its **expansive data estate** for credit analysis, research, origination, and monitoring.