About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet Introduces Interactive GenAI Solution Transcript Assistant

Subscribe to our newsletter

FactSet has released its first interactive GenAI solution available in the FactSet Workstation. Called Transcript Assistant, the solution is a conversational chatbot designed to accelerate in-depth research and analysis of earnings call transcripts, and help users search, analyse, and extract valuable, actionable insights from all transcripts in FactSet with a view to improving the investment research process.

The solution allows users to submit custom queries regarding a transcript in a two-way interface that goes beyond earnings summarisations to ask questions such as, ‘How is the company discussing the impact of a US recession?’. From there, large language models identify, synthesise and surface relevant transcript information to help users maximise efficiency and unlock insights that inform business decisions. Transcripts and extracted data can be exported to other FactSet applications or external tools. Transcript Assistant integrates the expertise of the company’s StreetAccount news and insight business to create quality and accuracy controls for the chatbot.

Emily Geer, senior director, corporates at FactSet, says: “Transcript Assistant is the go-to efficiency tool to not only navigate, but also excel during earnings season. We are powering our clients’ research workflows with innovative AI solutions and industry-leading earnings content to improve decision-making and drive productivity.”

Transcript Assistant is part of FactSet’s ‘mile-deep workflow automation pillar’ outlined in its AI Blueprint, a product roadmap that establishes how the power of AI will enhance FactSet’s solutions to deliver personalisation, discoverability, and productivity to clients.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Datactics Survey to Gauge Data Chiefs’ Pressure to Adopt AI Amid New Risks

The headlong rush to adopt artificial intelligence poses multiple risks to financial institutions that don’t take the necessary preparatory steps before implementation. One potential source is the increasing AI-savviness of company employees. As they become accustomed to using the technology on consumer devices and websites, there is a greater risk they’ll inadvertently leak or compromise...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...