OpenAI announced Denise Dresser as its new Chief Revenue Officer, responsible for the global revenue strategy for enterprise customers and customer success. Her job will be to get more companies to put AI into their daily operations and scale reliable, useful solutions.
Why does this matter for you and your team? Because AI is no longer an experiment — it's becoming part of the everyday workflow. With someone at the helm who has led large-scale integrations, OpenAI aims to speed that adoption across companies of all sizes.
What this means for companies
Denise brings experience running large businesses and global sales teams. She led Slack as CEO during its integration with Salesforce, and before that she spent more than a decade at Salesforce building sales organizations for complex customers.
This isn't just names and titles. It means someone who understands the customer, knows how to scale products people actually use every day, and can connect AI's promise to measurable operational results.
OpenAI wants to put AI tools in the hands of millions of workers. With this addition they aim to make AI more useful, reliable, and accessible for companies everywhere
Measurable impact already
The company shares clear data on how AI is changing work: 75% of workers say AI improved the speed or quality of their work. Many save between 40 and 60 minutes per day, and heavy users report more than 10 hours recovered per week.
Also, three quarters of users can now perform tasks that were previously out of reach. That's the kind of improvement companies want to scale, and it's exactly the area where Denise will help OpenAI.
How the strategy takes shape
OpenAI already offers practical ways for teams and companies to get started quickly: ChatGPT for Work for immediate adoption and an API to connect AI directly to internal systems and critical processes.
Today more than a million business customers use the technology in customer support, internal operations, and daily workflows. Some examples are:
- Walmart
- Morgan Stanley
- Intuit
- Databricks
- Target
- Lowe's
With Denise leading revenue, the bet is that those integrations will become more common, more reliable, and easier to adopt by organizations that need AI in production — not just in trials.
Why you should pay attention
If you work in product, operations, or lead a team seeking real efficiency, this matters. The arrival of an executive with a track record of scaling platforms signals that OpenAI wants to make AI less of an experimental luxury and more of a daily, measurable tool.
Can you imagine getting back an hour of work per day for your team thanks to AI? That's the promise they're now looking to scale across enterprises.