The leading AI companies have increasingly sought to roll out products that package their AI models in ways that are tailored for specific industry verticals. They are hoping these more targeted products will help accelerate the growth of their enterprise revenue.

Nick Turley, OpenAI’s vice president and head of ChatGPT, said in a briefing for reporters that finance is one of the industry verticals OpenAI has chosen to build specific products for, along with cybersecurity and software engineering.

The company’s rival Anthropic already offers a version of Claude for financial analysis, which it debuted in July 2025. But OpenAI hopes its offering will be “the one product” large banks, or those with “tens of thousands of employees,” will ever need.

“This is the canonical product we are hoping the industry adopts,” Turley said.

Turley has been spending a lot of time in New York City, the center of the nation’s financial industry, to develop the product. His team worked directly with Morgan Stanley and boutique investment advisory firm Evercore to decide on the key features the product would include.

“There’s a difference between what looks good in a demo and what is actually a usable output, [and] you kind of rely on the experts” to achieve that, Turley told reporters.

What the new ChatGPT for financial services can do

Banks need a ChatGPT enterprise account to access the new experience, and it’s only available for “eligible institutions,” that must speak directly with OpenAI to get cleared for access. It’s a distinct offering from ChatGPT Work, although many of its features are derivative of it, with a finance-specific bend, Turley said.

OpenAI showed the interface to reporters, and it looks like the familiar ChatGPT chat window, with a few new toggles for bringing in financial data. Banks can connect their existing subscriptions to datasets from companies such as Bloomberg or FactSet. ChatGPT also offers pre-loaded data from Daloopa, PitchBook, Crunchbase, and LSEG News, as well as around 50 total connectors through MCP, an open-source protocol that allows AI models to connect to other software and data sources. When ChatGPT incorporates this data into its output, it provides detailed citations.

With a toggle, users can specify whether the Astra model should approach the task with high, medium, and low “effort.” The higher the effort, the more tokens used, and the more it costs, but OpenAI says higher effort could mean a better quality output.

ChatGPT can generate PowerPoint presentations, Excel spreadsheets, and simple web-based dashboards. OpenAI also showed reporters a few sample presentation slides that it said took about 10 minutes for Astra to create. That’s not the instant result some have come to expect from ChatGPT conversations, but it could be faster than creating a new presentation from scratch.

“Teams can now quickly conduct deep research across multiple sources and create detailed artifacts in one shot,” OpenAI says. “For example, for an acquisition, they can compare the target with its peers, and test how revenue growth affects valuation, and turn the entire analysis into an editable model or pitchbook using their firm’s templates, and review and refine it in their office tools.”

OpenAI is also seeking to change how work gets done, thinking beyond the mainstream Microsoft suite of products. For example, a ChatGPT-coded dashboard might make it easier for finance professionals to simulate how different conditions affect their projections, rather than fiddling with numbers in an Excel spreadsheet said Joseph Kim, Product Lead for ChatGPT for Financial Services “We’re trying to think of new ways of doing the work, rather than just making the existing ways faster,” he said.

To make it easy for banks to get started, cmpany administrators can pre-load the product with their branded presentation templates. “A new intern on day one has all of this pre-loaded and ready to go,” said Kim.

Finally, data privacy is “critical for financial institutions,” OpenAI says. To that end, the data is encrypted and protected via ChatGPT Enterprise’s SAML SSO, SCIM provisioning, and role-based access controls. Company administrators can configure how much data retention they’d like, and can manage what skills and applications different types of roles have access to.