Cursor automates 80% of support with AI help desk as $29 billion startup reshapes workflows

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Cursor's CEO Michael Truell revealed at Fortune's Brainstorm AI that the company has automated 80% of its employee support tickets using an internal AI help desk. The $29 billion AI coding-assistant startup also deployed AI-powered systems that let staff query company-wide information instantly, signaling how AI is transforming corporate workflows beyond just code generation.

Cursor Automates 80% of Employee Support Tickets with AI Help Desk

The $29 billion AI coding-assistant startup Cursor has automated roughly 80% of its employee support tickets using an internal AI help desk, CEO Michael Truell revealed at Fortune's Brainstorm AI conference in San Francisco

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. The system resolves most employee and customer support requests without human intervention, offering a concrete example of how support automation is reshaping operations at fast-growing tech companies

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Source: Fortune

Source: Fortune

Michael Truell explained that Cursor has invested significant effort in customizing the setup to work seamlessly with the company's internal knowledge base and operational tools

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. The company, which crossed $1 billion in annualized revenue last month and now employs more than 300 people, is using AI not just for its core coding product but across multiple internal functions

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Internal Communication Systems Enable Company-Wide Information Access

Beyond automating internal support, Cursor has deployed AI-powered internal communication systems that allow employees to query information across the entire organization. "We have a system where folks can ask any question about the company and get it answered by an AI," Truell said

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. The company has also embedded forward-deployed engineers throughout the organization to build custom tooling for operations and sales teams, experimenting with expanded automation capabilities

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Source: Benzinga

Source: Benzinga

This approach to transforming corporate workflows stands in contrast to the AI adoption challenges many larger enterprise software organizations face. Data silos—where information remains trapped in disconnected systems—prevent AI tools from accessing the full context needed to deliver value

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. Technical sprawl from years of accumulated platforms creates AI integration issues that require dedicated expertise to resolve

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AI Impact on Developer Productivity Shows Mixed Results

Research on how AI tools affect developer productivity has produced conflicting findings. A July 2025 study by the nonprofit research group METR 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

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. The researchers attributed this to time spent prompting AI, waiting for responses, and reviewing generated code changes

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However, a University of Chicago study painted a different picture. Teams using Cursor's AI coding assistant in large companies merged 39% more pull requests compared to non-users

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. The research also revealed that senior developers created more detailed plans before writing code and demonstrated greater skill working with AI agents

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Senior Engineer Productivity Surprises Cursor Leadership

"A lot of folks think that junior developers get the most out of AI," Truell said, but the University of Chicago data showed that "senior engineers actually were more effective in using the tools and were accepting code at higher rates and were getting more value from that"

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. Truell admitted this finding surprised him as well, adding "We want to dig into to understand exactly why that's the case"

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The broader implications extend beyond coding. Anthropic's internal research found that Claude Code boosted employee productivity while reducing collaboration, weakening skill development, and increasing anxiety about job displacement

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. Workers reported completing more work and launching new projects, but many said they collaborated less with colleagues and worried their technical skills were deteriorating .

OpenAI CEO Sam Altman has projected that AI will likely automate 30% to 40% of work tasks in the near future, arguing the technology will reshape how jobs function rather than eliminate them entirely

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. As Cursor continues expanding from a $1 billion revenue run rate with just over 300 employees, its internal automation experiments may preview how other companies will need to adapt their operations to remain competitive in an AI-driven landscape.

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