You approved a pilot automation project last year. The bot logged in, pulled some data, and saved a file. Cost per hour dropped by 60 percent. Management approved another batch of bots. But now the team is buried in tickets. A new UI patch broke three bots. A compliance update changed the button location. Another bot halted when the session timed out. The backlog of broken bots keeps growing. The original project team is now full-time maintenance staff. The cost of staying on RPA has quietly eclipsed the license fee.
Why RPA breaks here
Traditional RPA platforms like UiPath, Automation Anywhere, and Power Automate rely on selectors, IDs, and XPath locators to find UI elements. These links are brittle. When a developer builds a bot, they hardcode a path to a button, a field, or a table row. If the product team changes the class name, the layout shifts, or a third-party widget updates its DOM, the bot fails. A common industry study of large RPA programs shows that 30 to 50 percent of bot hours are spent fixing or rebuilding broken automation, not delivering value. Teams report an average of one to three maintenance tickets per bot every quarter. When a process spans three or four legacy applications, the maintenance surface multiplies. The team rebuilds the bot, tests it, and releases. Then the next release arrives and the cycle restarts.
What changes with computer use agents
- Survives UI changes without selector updates
- No brittle selectors or hardcoded IDs
- Recovers from exceptions and unexpected states
- Follows the SOP as written, not a flowchart
- Works on legacy systems, Citrix, and virtualized desktops
Coasty computer use agents see the screen and act like a human, so they survive UI and app updates, need no brittle selectors, and recover from exceptions instead of halting.
How to move without the risk
You do not need to rip out all RPA at once. Start with one process that is high pain, high maintenance, and has a written SOP. Examples include expense report approvals, onboarding workflows, or QA data entry. Run a pilot with a Coasty agent that follows the SOP in plain English. Measure three things: how many tickets you avoid, how fast you can expand to new processes, and how much time your team stops spending on maintenance. Then compare that to your traditional bot lifecycle. If you find that agents handle the process with fewer changes and fewer tickets, you can roll out agents to more processes. Keep RPA for high-volume, stable backend tasks. Use computer use agents for the long tail where UI changes and exception handling dominate.
The hidden maintenance cost of RPA is real. You can either keep paying the rebuild-on-change tax or switch to agents that see the screen and follow SOPs directly. Book a demo with the Coasty team to see how agents survive UI changes and recover from exceptions, without brittle selectors or constant rebuilds. Visit https://cal.com/coasty/15min to start.
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