Your automation center of excellence has a backlog of fixes and a growing list of processes that only humans can touch. The bots you built on UiPath, Automation Anywhere, or Power Automate still run at high volume, but they break every time a vendor updates a portal or a new form lands in the queue. The fix is manual, expensive, and never-ending. The alternative is not to rip out all RPA. It is to pilot computer use agents alongside it.
Why RPA breaks here
Legacy RPA works by binding to selectors, XPath locators, or object IDs. When a UI changes even slightly, the selector becomes stale and the bot halts. A recent industry survey found that more than 60 percent of RPA projects spend at least 40 percent of their budget on maintenance and rework. For many teams, that number is even higher because each new release of a core system triggers a cascade of fixes. You end up with a maintenance treadmill instead of a scaling automation engine.
What changes with computer use agents
- Survives UI changes. Agents see the screen and act like a human, so they keep working when selectors no longer match.
- No brittle selectors. They read text, locate icons, and navigate visually instead of relying on fragile locators.
- Recovers from exceptions. When a step fails, agents read the result and decide the next action rather than crashing.
- Follows the SOP as written. A process described in plain English is already almost a prompt. An agent can follow it directly without building a flowchart bot.
- Works on legacy and Citrix. Because agents control real desktops, they operate where traditional RPA often struggles.
Computer use agents turn fragile, selector-driven bots into durable, SOP-driven processes.
How to move without the risk
The best way to pilot computer use agents is to pick one high-pain, SOP-heavy process and run it alongside existing RPA. Start by mapping the process in plain language, not with screenshots and flowcharts. Then, use the Coasty agent to follow that same description. Compare the two runs side by side on accuracy, speed, and maintenance effort. If the agent performs better on UI changes and exception handling, expand the pilot to similar processes. Keep the RPA bots in place for the stable, high-volume tasks where they still excel. Over time you can migrate those tasks to agents or retire the bots as the backlog shrinks. This phased approach lets you build confidence, prove value, and avoid a big-bang rip-and-replace.
Where RPA still fits
RPA remains ideal for high-volume, deterministic, backend tasks that do not depend on changing UIs. For example, batch data entry from well-defined files or rules-based validation in stable systems. Computer use agents shine on the long tail, front-office workflows, customer portals, legacy apps, and processes that rely on human-like perception and judgment. The most successful automation strategies combine both: RPA for scale and stability, and computer use agents for flexibility and durability.
You do not have to choose between RPA and agents. Start with one process that hurts the most, pilot Coasty alongside your existing RPA, and measure the difference. Ready to see how computer use agents can reduce your maintenance backlog and scale your automation? Book a demo with the Coasty team at https://cal.com/coasty/15min .
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