You have a handful of UiPath or Automation Anywhere bots running smoothly. The pilot is a win. Then the business asks for more, and the backlog grows. Teams spend more time fixing broken bots than building new ones. Some processes remain locked behind spreadsheets because writing a reliable bot is too expensive. The real problem is not that RPA does not work. It is that traditional automation is brittle and expensive to maintain.
Why RPA breaks here
Traditional RPA binds to selectors, xpaths, and object IDs. When the application or UI changes by a pixel, the bot fails. Research from industry analysts shows that up to 70 percent of RPA maintenance time is spent on rebooting or rebuilding bots after updates. One Fortune 500 IT leader estimated that their RPA team spent more than 50 percent of their capacity just keeping existing bots alive. Every new release of a business application creates a wave of broken bots. Each fix requires a developer to dig into selectors, test across environments, and redeploy. The cost compounds. You end up with a maintenance treadmill instead of a scalable automation portfolio.
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 do not need brittle selectors or object IDs. When the UI changes, they adapt without a rebuild.
- Instead of halting on the first exception, agents recognize that state and recover or escalate, reducing unplanned downtime.
- They can follow a standard operating procedure written in plain English with little or no modification.
- They work across any app, including legacy systems, Citrix, and virtualized desktops where traditional RPA struggles.
RPA is great for high-volume, stable, deterministic backend processes. Computer use agents are the durable way forward for changing UIs, exception-heavy workflows, and SOP-driven tasks.
How to move without the risk
You do not have to rip out your existing RPA overnight. Start with a pragmatic, phased approach. Choose one high-pain process that has a clear SOP and experiences frequent UI changes. Build a small computer use agent pilot. Measure how much time it saves and how many exceptions it handles without human intervention. Use those results to justify expanding to other processes. Keep the bots you already have for the parts of the business that are stable and rule-based. Over time, you can gradually shift more work to agents. This lets you unlock the long tail of automation while keeping the value you have already realized from RPA.
The next step is to see how computer use agents can work on your own processes. Book a demo with the Coasty team at https://cal.com/coasty/15min to explore a pilot tailored to your environment.
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