CORPGEN advances AI agents for real work
Today's AI agents fail at real work. Microsoft Research just showed why—and how to fix it.
Why it matters
Microsoft Research identifies a fundamental gap in how AI agents are evaluated vs. how knowledge workers actually operate—opening a new frontier for enterprise AI deployment beyond single-task benchmarks.
The key facts
10 to knowCORPGEN framework addresses multi-task, interdependent workflows
Current model evaluation misses real-world knowledge work complexity
Published on Microsoft Research blog (Feb 26, 2026)
Focus on practical agent deployment in enterprise settings
Content appears truncated—full research depth unavailable in excerpt
Research from Microsoft Research (published Feb 26, 2026)
Focus on multi-tasking AI agents for knowledge workers
Critique: current models evaluated on single tasks, not interdependent workflows
CORPGEN framework targets simultaneous task management
Relevance to enterprise AI deployment and agent evaluation standards
Go to the source
Microsoft Researchmicrosoft.com
Publisher excerpt: By mid-morning, a typical knowledge worker is already juggling a client report, a budget spreadsheet, a slide deck, and an email backlog, all interdependent and all demanding attention at once. For AI agents to be genuinely useful in that environment, they will need to operate the same way, but…