There’s no question that Generative Artificial Intelligence (GenAI) is fundamentally transforming the financial industry, driving efficiency, generating insights, and enhancing decision-making capabilities at record levels. Here at Moody's, we've seen Research Assistant demonstrate the significant benefits of applying this technology to everyday workflows and operations — with a 60% peak in research readership and a sustained increase of 35% more data, content, and insights analyzed to inform decisions.
So, how can your organization attain the same success? We’ve outlined some of the top use cases — for both the present and the future — for financial professionals seeking to optimize their workflows and gain a competitive edge.
Current GenAI use cases: what you could be doing now
As this technology becomes more accessible, we're seeing an uptick in adoption, allowing an increasing number of organizations to automate routine tasks and enhance quality standards, while enabling employees to focus on client relationships, strategic decision-making, and high-impact analytics.
Use case 1: Thematic research and strategic adjustments
This involves detailed sector analysis to identify new opportunities, emerging market trends, and macroeconomic or geopolitical risks. As an example, investment bankers can now quickly synthesize market trends, competitor analysis, and sector-specific insights for deal evaluation. Likewise, research teams can identify emerging trends and patterns across vast amounts of data for insightful research outputs.
Use case 2: Detailed risk analysis and monitoring
Financial analysis and continuous monitoring of entities, including in-depth company performance reviews, credit risk assessments, and comparative peer and SWOT analysis, is the foundation of good credit insights. With GenAI, credit analysts can now simultaneously analyze multiple risk factors, including financial statements, market conditions, and industry trends. Ratings advisors can likewise assess creditworthiness by analyzing similar metrics and market conditions.
Use case 3: Initial screening and idea generation
It's crucial that new opportunities are identified as they emerge. Finance professionals can use GenAI to do this through early-stage market screening by applying financial, firmographic, and credit filters to shortlist prospects, and linking to sector and entity monitoring. Portfolio managers can monitor markets, analyze risks, and find investment opportunities. Corporate bankers can enhance client relationships with detailed company analysis, sector performance metrics, and risk assessments.
What lies ahead: AI assistants as the new frontier
As the technology around artificial intelligence develops, we'll be able to expand and iterate what our current products and platforms can do. At Moody's, we believe that specialized, domain-specific AI assistants that combine deep industry expertise with targeted functionality for particular use cases represent the next big technology breakthrough. These assistants will integrate domain-specific data sources, regulatory requirements, and best practices while providing templated workflows for common tasks. Below are three possible use cases for the future, based on Moody’s ongoing GenAI work:
Use case 1: Workflow automation — templating credit memos
Automating credit memo generation illustrates how domain-specific AI can streamline resource-intensive processes by gathering and analyzing data, assessing key performance indicators, and identifying trends. It generates standardized reports, supports consistent quality, and reduces manual reviews. Preliminary findings show this GenAI-based technology can cut the time it takes to produce and standardize credit memos by over half.
Use case 2: Highly specialized research — mergers and acquisitions (M&A)
In investment banking advisory, namely M&A, domain-specific assistants can transform key workflows by screening companies for M&A potential, processing due diligence documents to identify risks, and aiding in valuation through the analysis of comparable transactions. This technology automates preliminary reports and deal documentation, enhancing efficiency and applying financial and market data.
Use case 3: Portfolio risk and opportunity monitoring
A GenAI assistant can transform traditional monitoring into predictive portfolio strategy by identifying complex interconnections across global events and sectors. Combining proprietary data and real-time market signals, it maps the effects of major events, uncovers non-obvious market correlations, and generates portfolio adjustment recommendations based on emerging risks.
Unlocking GenAI opportunities
The rapid adoption and proven benefits of GenAI tools like Moody’s Research Assistant mark a fundamental shift in how financial institutions approach analysis and decision-making.
As we move toward autonomous agents and personalized AI experiences, the technology is already evolving from a pure productivity tool to a sophisticated thought partner that can identify complex patterns, predict cascading impacts, and generate nuanced strategic recommendations.
Organizations that can successfully integrate these advanced capabilities while maintaining robust governance frameworks will gain competitive advantages through improved risk management, faster decision-making, and more nuanced strategic planning.
Interested in learning more?
Discover how the technological revolution is transforming the way we do business and learn how GenAI tools like Moody’s Research Assistant can transform your operations, helping you stay ahead in an increasingly complex global financial landscape.