Moody’s is developing agentic AI tools for internal use and to embed into its offerings — including some in the pipeline for launch later this year.
The credit rating agency has built a credit memo tool that can compress a two-week manual process into five to 10 minutes, alongside more than a dozen other agentic AI products, Pavle Sabic, senior director and industry practice lead of gen AI at Moody’s, told FinAi News.
The credit memo solution, now live on Amazon Web Services Marketplace after more than a year in production, uses approximately 80 sub-agents across multiple large language models to generate comprehensive credit risk reports, Sabic said.

Moody’s takes a model-agnostic approach, using various LLMs for multiple tasks within a single workflow, he said.
“We identify [the strengths of each LLM] and then apply it to the best data set,” Sabic said. Anthropic‘s Claude models tend to perform well for coding and complex data/math tasks like evaluating balance sheets, while Google‘s Gemini handles web scraping more effectively, and OpenAI creates reports tasked to ChatGPT, he noted.
Moody’s clients include large U.S. and European banks conducting credit underwriting, asset managers evaluating credit markets and corporations assessing supplier risk, Sabic said. He declined to provide the cost of the credit memo tool or the names of FIs using it.
The data
The tool allows each credit memo generation to draw on more than 40 data sets, 99% of which are proprietary Moody’s data, Sabic said.
The company maintains records on over 650 million entities, with 50 million carrying full financials. Data inputs, he said, include:
- Probability of default scores;
- Annual reports;
- Adverse media,
- Payment history,
- ESG metrics; and
- Cyber-risk assessments.
In the pipeline are plans to launch several additional agentic AI products this year, including Moody’s for Compliance, Moody’s for Supply Chain and a Salesforce-integrated tool called Sales Recon, Sabic said.
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