Your finance team spent months building a month-end close bot on an SAP interface. The next release breaks the selector, and the bot fails. A developer rebuilds it in a week. A few months later, the UI updates again. The same cycle repeats. This is the RPA maintenance treadmill. Meanwhile, a standard operating procedure sits untouched because no one can turn it into a reliable bot. As automation leaders, you face a choice: keep fixing brittle bots or adopt a more durable approach.
Why RPA breaks here
Traditional RPA like UiPath, Automation Anywhere, Blue Prism, and Power Automate relies on selectors, xPaths, and object IDs. These are brittle fingerprints that bind a bot to a specific UI layout. When a developer changes a column width, moves a button, or reorders a menu, the selector breaks. The bot halts and reports an error. You must manually find the new selector and redeploy the bot. Industry surveys suggest that a significant share of RPA projects require developer intervention after each major UI refresh. The cost shows up in maintenance hours, delayed deployments, and reduced confidence in automation coverage. For IT and operations leaders, this is not just a technical issue. It is a resource drain that crowds out new initiatives and creates a backlog of processes that never get automated because the effort to maintain old bots is too high.
What changes with computer use agents
- Survives UI changes without rebuilding
- No brittle selectors or xPaths to maintain
- Recovers from exceptions and unexpected states
- Follows standard operating procedures written in plain English
- Works across legacy apps, Citrix, and virtualized desktops where RPA struggles
RPA depends on brittle selectors. Computer use agents see the screen and adapt. That is the durable path forward.
How to move without the risk
You do not need to rip out your existing RPA overnight. Start with a high-pain process that is exception-heavy, UI-unstable, or written as a human-friendly SOP. Use Coasty to automate it with a computer use agent. Compare the time to build, the downtime from UI changes, and the support effort against your current RPA. If the agent reduces rebuilds and handles exceptions without developer intervention, expand to similar processes. As you build confidence, you can gradually shift workloads where RPA truly shines, high-volume, stable, backend tasks. This phased approach lets you modernize your automation stack without betting the farm on a single platform.
RPA still delivers value for stable, high-volume tasks, but it is not the right tool for changing screens and exception-heavy workflows. Computer use agents see the screen, adapt, and follow SOPs directly. Ready to see how agents can reduce rebuilds and handle exceptions without developer intervention? Book a demo with the Coasty team at https://cal.com/coasty/15min .
Want to see this in action?
View Case Studies