AI coding-assistant start-up Cursor isn\u2019t just using artificial intelligence to help developers write code, it\u2019s deploying AI across its own internal operations, CEO, Michael Truell, told the audience at Fortune\u2019s Brainstorm AI in San Francisco.<\/p>\n
Truell said the company had already automated roughly 80% of its customer support tickets with the help of the technology. He said the company had also implemented an internal AI-powered communication system that allows employees to query information across the organization.\u00a0\u201cWe\u2019ve actually done a lot of work internally on customizing that setup,\u201d he said.<\/p>\n
Cursor also uses AI for internal communications, he said. \u201cWe have a system where folks can ask any question about the company and get it answered by an AI,\u201d Truell said, as well as an project with \u201ca few forward deployed engineers internally embedded throughout, building custom tooling right now for operations, for sales and experimenting,\u201d he said.\u00a0<\/p>\n
Across the enterprise software landscape, some larger organizations are increasingly coming up against adoption challenges when attempting to integrate AI into workflows.\u00a0<\/p>\n
Data silos\u2014where information is trapped in disconnected systems\u2014prevent AI tools from accessing the full context they need to be useful, and technical sprawl\u2014the accumulation of disparate tools and platforms over years of growth\u2014 can create integration issues. Many organizations are finding they need more dedicated technical expertise to help tailor AI models to specific business needs.<\/p>\n
Engineers are seeing productivity gains<\/strong><\/p>\n Cursor, which is valued at $29.3 billion, said last month it had crossed $1 billion in annualized revenue and now has more than 300 employees. The company has seen rapid growth since it was founded by a team of four MIT graduates in 2022. The company\u2019s AI coding tool, which first launched in 2023, has been popular with software who use it to help both generate and edit code.\u00a0<\/p>\n There has been some conflicting research about how helpful AI tools actually are for software engineering. A July 2025 study by the nonprofit research group METR<\/a> found that experienced developers working on large, mature codebases actually took 19% longer to complete tasks when using AI tools such as Cursor and Claude, despite believing they had worked 20% faster. The researchers attributed the slowdown to time spent prompting AI, waiting for responses, and time reviewing generated code.<\/p>\n