Computer-use agents are ready for narrow work
Agents that drive a real screen now clear 85 percent on OS-level benchmarks. That is good enough for the ugly middle of enterprise work, if you scope them honestly.
By Saad Alam
Agentic AI
Computer-use agents are ready for narrow work
Computer-use agents click, type and read screens the way a person does. The leading platforms now score above 85 percent on OSWorld-style benchmarks, up from roughly half that two years ago.
The honest use case is the ugly middle of enterprise work: legacy desktop tools, portals without APIs, and vendor systems you will never be allowed to integrate with properly. If an API exists, use the API. The screen is the integration of last resort, and it is finally a workable one.
Scope is everything. A computer-use agent doing one rehearsed workflow with a defined start, a defined finish and a human checkpoint before anything irreversible is a dependable worker. The same agent given a vague goal and an open desktop is an incident report.
We deploy them the way we deploy any agent: recorded runs, evals on task completion, and containment metrics from day one. The screen recording becomes your trace. If you cannot replay why the agent clicked what it clicked, you are not ready to scale it.
