Collaboration can get stuck, however, when team members don’t speak the same language. Sometimes literally: “We have studios in Seoul and Japan that need to collaborate with teams in the U.S.,” Kantor said. Many members of these teams are not fluent in English, making deep technical conversations challenging.

Often the gaps in connection are more an issue of differing skills and knowledge, keeping employees from fully expressing their creativity or working seamlessly across teams and roles. Designers and product managers might have an idea for a new project, but not the coding skills to prototype it effectively. Team members with less writing proficiency may struggle to formulate strong proposals or create high-quality documentation. All of these challenges are now surmountable with AI.

Match Group wasted no time assessing the potential of ChatGPT Enterprise to not only build better products but empower their workforce. What they found was inspiring: “As soon as we all started really chatting about our AI strategy and playing with ChatGPT to understand the reasoning capabilities of the model, our imaginations ran wild,” Wu said.

Match Group began to explore integrating OpenAI’s API to build new products and features, such as helping users create deeper, more authentic profiles with less effort. At the same time, they moved quickly to adopt ChatGPT Enterprise and roll it out to thousands of employees. The results of this ChatGPT have been even beyond what leadership initially expected. “There’s a lot of obvious use cases for ChatGPT, but as more employees have gotten access, they’ve discovered surprising use cases that really take it to the next level, and you realize that we’re just scratching the surface of what’s possible,” Kantor said.