You have hundreds of bots built with selectors, object repositories, and if/then rules. Every software update, new release, or UI refresh breaks one or more of them. For every break, a developer has to open the bot, patch a selector, test, and redeploy. The backlog grows. The team burns engineering hours on maintenance instead of new automation. That is the reality for many RPA programs today.
Why RPA breaks here
Traditional RPA depends on selectors and xpaths to locate elements on a screen. When a vendor changes a class name, moves a button, or rearranges a layout, the bot can no longer see its target. The bot halts, throws an error, and hands the job back to a human. You rebuild the bot, redeploy it, and hope the next update does not break it again. This is the rebuild-on-change treadmill. Industry surveys show that automation programs spend 20 to 30 percent of their total cost of ownership on maintenance and rework. The longer you stay on pure selector-based RPA, the higher that percentage climbs.
What changes with computer use agents
- Survives UI changes: agents see what is on the screen and act on what is present, not on a fixed selector.
- No brittle selectors: the agent moves the mouse, clicks where it sees a button, and types into the field it recognizes.
- Recovers from exceptions: when a step fails, the agent checks the screen state, retries, or adapts its path instead of stopping.
- Follows the SOP as written: a human-readable procedure is already almost a prompt for a computer use agent, so you can run SOPs directly without building a flowchart bot.
- Works on legacy and Citrix: agents control real desktops and terminals, so they can reach into systems where RPA struggles.
The one line a VP of automation should remember: selectors bind bots to the past, agents act on the present.
How to move without the risk
You do not need to rip and replace all your RPA in one go. Start with a high-pain process where the UI changes frequently or where exceptions force a lot of human intervention. Pick a process that is already documented in plain English or a structured SOP. Run a small pilot with a Coasty agent. Measure the time saved, the error rate, and the effort needed to maintain the automation. Compare that to the ongoing cost of rebuilding bots on the old RPA platform. If the pilot shows clear value, expand to other processes. Reserve traditional RPA for the stable, high-volume transactions where it still shines. Use computer use agents for the changing, exception-heavy, and SOP-driven work.
Why computer use agents are the durable way forward
Computer use agents control real desktops, browsers, and terminals, not just API calls. This means they can handle any application, including legacy systems, Citrix sessions, and third-party portals. They do not need you to predict every UI change in advance. They see the screen, decide what to click, and react when things do not go as expected. For processes that live in SOPs, you can literally run the procedure as written. The result is a automation footprint that adapts to change instead of breaking every time the software changes. That durability is exactly what enterprise IT leaders need when the backlog is already full.
The role of Coasty in this transition
Coasty is designed for enterprise teams that want to extend automation beyond what traditional RPA can do. The platform lets you run agents on cloud VMs and desktop apps, scale with agent swarms for parallel execution, and integrate via a /v1 computer use API. It also supports an MCP server and lets you bring your own keys for environments where data residency matters. You can start with a free tier to explore what is possible. For teams already invested in RPA, Coasty offers a way to lift and shift the work that is most expensive to maintain, without abandoning the RPA platform entirely.
The rebuild-on-change treadmill is not a sustainable strategy for enterprise automation. Computer use agents give you a durable path forward: they survive UI changes, recover from exceptions, and follow SOPs as written. If you are ready to see how this works in practice, book a demo with the Coasty team at https://cal.com/coasty/15min.
Want to see this in action?
View Case Studies