What Happens to Your RPA Developers When AI Agents Take Over
Your finance team has automated AP invoice matching with UiPath. The bot runs at night, posts payments, and emails approvals. That works for now. Then the ERP vendor ships a patch that shifts the approval button by two pixels. The selector fails, the bot halts, and someone has to spend three days rebuilding the workflow. Finance calls IT at 8 AM on a Monday. You have a backlog of similar bot fixes. This is the maintenance treadmill that runs traditional RPA teams into the ground.
Why RPA breaks here
Traditional RPA tools like UiPath, Automation Anywhere, Blue Prism, and Power Automate rely on selectors, XPaths, and object IDs to find elements. When a product update, a CSS change, or a layout tweak moves an element, the automation fails. The bot either crashes or logs errors that require human triage. Industry surveys show that 40 to 60 percent of RPA maintenance time goes into fixing broken bots caused by UI changes. This means developers spend more time on fixes than on new automations. For a team of five RPA developers, that can mean 30 to 45 percent of headcount tied to keeping existing bots alive instead of building new ones. The cost compounds as the number of bots grows. You also hit the limits of what RPA can handle. Citrix sessions, virtual desktops, and legacy applications often have no stable APIs or selectors. The bot either cannot connect or only works intermittently, so those processes stay manual.
What changes with computer use agents
- ●Agents see the screen and act like a human: move the mouse, click, type, and read text. They do not need brittle selectors or XPaths.
- ●When a UI updates, the agent sees the new layout and adapts without rebuilding the entire workflow.
- ●Agents recover from unexpected states instead of halting. If a field is missing or a page loads slowly, the agent can wait or try an alternative path.
- ●A standard operating procedure written in plain English is almost a prompt. Coasty agents can follow it directly, with no flowchart bot to build and babysit.
- ●The agent works across any application, including legacy systems, Citrix desktops, and virtual environments where traditional RPA struggles.
RPA gives you bots that break on change. Computer use agents give you automations that adapt and keep running.
How to move without the risk
You do not have to rip out all your RPA at once. Start with a high-pain process where broken bots or manual SOPs are slowing you down. A common candidate is an approval workflow that spans multiple systems, where UIs change frequently and approvals are delayed. Build a small pilot using Coasty. Use the existing SOP as the agent’s instructions. Run the pilot for two weeks, comparing on-time completions, error rates, and support tickets. If the pilot succeeds, expand to similar processes. Keep your stable, high-volume, backend tasks on RPA. The agents excel at the long tail: changing UIs, exception-heavy workflows, and SOP-driven processes. Over time, you shift more work to agents, freeing your RPA developers to focus on new business opportunities instead of rebuilds.
You can cut the rebuild treadmill and let your RPA team focus on building instead of fixing. See how computer use agents change your automation strategy. Book a demo with the Coasty team to explore a pilot for your highest-pain process: https://cal.com/coasty/15min