The CIO Case for Moving from RPA to Computer Use Agents

Why RPA breaks here

Traditional RPA platforms like UiPath, Automation Anywhere, and Blue Prism rely on selectors, xpaths, and object IDs to interact with applications. When a UI changes, whether a new release, a design refresh, or a vendor update, those identifiers often no longer match. According to industry benchmarks, about 20 to 30 percent of RPA projects require at least one major revision within the first year because of UI drift, and maintenance costs can exceed the original development cost in some cases. When a bot halts on an unexpected state, the process stalls until a human intervenes. This fragility makes RPA well suited for stable, high‑volume, backend tasks, but it forces teams to rebuild bots every time the software changes.

What changes with computer use agents

• Agents see the screen and act like a human: they move the mouse, click, type, and read the result.
• They survive UI and app updates because they do not depend on brittle selectors or xpaths.
• When an exception occurs, agents can reason and recover instead of halting.
• They can follow a standard operating procedure written in plain English without building a flowchart bot.
• They work across any application, including legacy systems, Citrix, and virtualized desktops where traditional RPA struggles.

How to move without the risk

You do not need to rip out all existing RPA at once. Start with a high‑pain process that has a clear SOP and frequent UI changes. Choose a process that people still run manually, or one where RPA breaks often. Pilot the process with a computer use agent to demonstrate recovery from exceptions and adaptation to UI changes. Measure the difference in maintenance effort and reliability compared with the previous RPA implementation. Once you see the benefit, expand to additional SOP‑heavy workflows. Keep RPA for the tasks where it excels: high‑volume, deterministic, backend processes with stable interfaces. This phased approach lets you build confidence while limiting disruption.

Why agents are different

Computer use agents like Coasty control real desktops, browsers, and terminals, not just API calls. They can navigate complex interfaces, handle multiple windows, and respond to dynamic content. Because they see the screen, they can adjust to layout changes and missing elements without requiring a developer to rebuild every selector. This makes them especially effective for processes that involve multiple systems, legacy software, or environments where you cannot easily expose APIs. Agents also scale by running in parallel on cloud VMs or desktops, and they integrate with your existing infrastructure through APIs and servers.

Practical next steps

If you are looking for a pragmatic path forward, start by identifying one or two processes that fit the criteria above. Talk to the Coasty team about a pilot tailored to your environment. A short demo can show how an agent would handle a real workflow from your organization. Book a demo with the Coasty team to see how computer use agents can reduce maintenance and extend automation to the processes that RPA cannot touch.