Computer Use / Vision-Controlled Agent

The majority of enterprise software has no API, or has an API that is too limited or too expensive to integrate. Legacy ERP screens, government portals, desktop applications, and old-generation SaaS platforms can only be operated through their graphical interfaces. Computer use agents — pioneered by Anthropic's Claude computer use capability — solve this by giving AI systems the same inputs a human operator uses: a screen capture and a keyboard/mouse.

The architecture is straightforward: the agent takes a screenshot, passes it through a vision-language model (VLM) to understand the current UI state, reasons about what action to take next (click a specific button, type into a field, scroll to find content), and executes that action through a sandboxed desktop environment. The cycle repeats until the task is complete. Unlike brittle DOM-scraping automation, vision-based agents are resilient to UI changes — they understand the interface semantically, not by selector.

The enterprise applications are broad: processing claims in legacy insurance systems, entering data across disconnected platforms, completing government portal submissions, navigating multi-step procurement workflows, and performing regression testing on desktop applications. The two key constraints are latency (each screen-observe-act cycle takes 2–5 seconds) and security (the agent must be sandboxed to prevent it from accessing unauthorized areas of the desktop environment).