Most automation teams today hit a wall. A new version of the ERP, a refreshed vendor portal, or a changed compliance screen breaks automation. Developers spend weeks rebuilding bots that were supposed to run for months. Operational teams stop trusting automation and fall back to manual work. The result is a maintenance backlog that grows faster than the backlog of new projects you want to build.
Why RPA breaks here
Traditional RPA binds to selectors, XPath, and object IDs. That design was brilliant for stable, backend-heavy workflows. But modern software updates frequently change those identifiers or shifts the layout. When that happens, the bot either fails silently or crashes. Enterprise studies show that a single UI change can cost $20,000 to $50,000 in downtime, lost billing, and developer effort. Beyond the direct cost, each break creates a shadow backlog of patches and rework. Teams become reactive rather than proactive. The more you automate, the more you must maintain.
What changes with computer use agents
Computer use agents work differently. They see the screen and act like a human: move the mouse, click elements, type into fields, read results. That means they do not depend on brittle selectors. If the UI changes, the agent still sees the new layout and adapts. If an unexpected screen appears, the agent can recover instead of halting. This approach also lets agents follow a standard operating procedure written in plain English. No flowchart bot to build, no developer to babysit. And because they control real desktops and browsers, they work on legacy systems, Citrix environments, and virtualized desktops where traditional RPA struggles.
Traditional RPA is brittle because it depends on fixed identifiers. Computer use agents are durable because they see and act.
How to move without the risk
You do not have to rip out existing RPA overnight. Start with a single high-pain process that has frequent UI changes or heavy exception handling. Identify a process that is documented in plain English. That is your first candidate for a computer use agent. Run a pilot using the Coasty platform. Measure uptime, error recovery, and time saved compared to the RPA bot. If the agent meets expectations, expand to similar processes. Over time, you can replace bots that are repeatedly broken and focus development effort on new value instead of endless maintenance. This phased path lets you modernize while protecting the value you already have.
Why agents fit the long tail of automation
High-volume, deterministic backend tasks where UI rarely changes still work well with traditional RPA. The value of computer use agents is in the long tail: workflows that change often, require exception handling, or span multiple applications. Agents can operate across browsers, desktop apps, and terminals, so they work wherever your people work. They can also run in parallel using agent swarms, which speeds up execution without more manual configuration. This flexibility lets you automate processes that were previously off the table.
The RPA maintenance treadmill is not inevitable. You can move from brittle, rebuild-heavy automation to durable, adaptive automation. The first step is to see how a computer use agent handles your most painful process. Book a demo with the Coasty team to talk through your use cases and see the difference for yourself. https://cal.com/coasty/15min
Want to see this in action?
View Case Studies