Tariffs are creating complex situations for companies inside and outside of automotive, so Bloomberg is turning to artificial intelligence to sort through them.

On Monday, Bloomberg launched AI-Powered Document Insights, which uses generative AI to make it easier for research analysts and corporate decision makers to quickly find details from a company document by asking questions in everyday conversational language.

The company highlighted this research solution is an evolution of Bloomberg’s AI-Powered Earnings Call Summaries, complements AI-Powered News Summaries, and links seamlessly with Bloomberg’s other purpose-built analytical tools and workflows as part of the company’s mission to reimagine the Bloomberg Terminal for the age of AI.

AI-Powered Document Insights can provide users with robust search and summarization capabilities made possible by Bloomberg’s expertise and more than 15 years of applying AI in the financial domain.

Bloomberg shared that its intelligence analysts helped train the generative AI models so they more accurately understand the nuances of financial language by using Bloomberg’s AI guardrail systems.

The research solution can enable customers to adjust their positions and investment views on a company by quickly analyzing text and structured data within a company document from a vast library of trusted and premium content. This research library on the Bloomberg Terminal includes more than 200 million company documents, more than 5,000 Bloomberg News stories published each day on the markets, economies, industries, and companies that matter, as well as research content like Bloomberg Intelligence reports which cover thousands of companies.

Magdalena Richardson is a credit trading strategist at NatWest Markets.

“What I like about AI-Powered Document Insights is that it provides a great summary of a company’s comments when asked a direct question,” Richardson said in a news release. “For example, within an earnings call transcript for an original equipment manufacturer, the solution can be asked about the impact of tariffs. I think this solution is a godsend on a day when you have multiple earnings calls and cannot attend them all or need to revisit a topic.”

Thymen Rundberg is an equity research associate at ING.

“What I find valuable is that AI-Powered Document Insights allows me to quickly find specific information within earnings call transcripts, saving me time versus manually searching through the document. The tool also allows me to stay up to date with more peers of companies in my coverage,” Rundberg said in the news release. “This was definitely a more tedious task before.”

Bloomberg said it will continue to use generative AI to enhance research solutions like AI-Powered Document Insights with additional document coverage, product features and integrations to help customers discover more answers and actionable insights with a user experience that is easy and comprehensive.

Starting on Monday, customers can explore the new interface and its features like “Ask a Question,” where users can either explore their hypothesis about developing investment themes like “tariffs” or retrieve specific information like “procurement costs.”

Bloomberg highlighted the feature covers company documents and transcripts for earnings calls, conference presentations, investor days, capital markets days, shareholder meetings, M&A calls, sales results calls, guidance calls, and more.

The solution also incorporates transparency links to highlight relevant excerpts in the original document and audio replays to hear the tone and tenor of executives and corporate spokespeople.

Furthermore, the “key notes” section can provide a structured overview of Bloomberg selected topics raised in company presentations.

“With AI-Powered Document Insights, we’re delivering our customers a solution that is infused with financial domain knowledge,” said Suzanne Szur, research and companies product manager at Bloomberg. “It’s been developed in close collaboration with our customers and evaluated by our team of product, data and technology experts who understand the importance of responsible AI down to the design features.

“Very soon we’ll launch additional research solutions to help financial professionals and their teams find unique insights, improve their research methods, and develop investment strategies tailored to various time horizons in this uncertain macro environment,” Szur went on to say.