Run in Parallel vs Rip and Replace: Migrating Off RPA Safely
Your RPA team is drowning in tickets. Every time a UI update lands, a bot fails. A developer has to rebuild the flowchart, update selectors, and test. The backlog grows while the business waits for stable automation. The problem is not a lack of effort. It is the brittle foundation of traditional RPA. When the application changes, the automation breaks. When an exception occurs, the bot halts and creates a ticket. The only way out is to replace everything at once, or keep the broken bots forever. Neither option is sustainable.
Why RPA breaks here
Traditional RPA bots rely on selectors, xpaths, and object IDs to navigate applications. When a web form changes a class name, when a desktop app adds a new toolbar, or when a legacy system updates its layout, the selector no longer points to the right element. The bot clicks the wrong button, enters data in the wrong field, or fails to find the target. A developer must rebuild the flowchart, update every selector, and re-test the entire workflow. This rebuild-on-change cost adds up fast. Industry research suggests that up to 30 percent of an RPA project’s total cost of ownership is maintenance, not development. Another study shows that 40 percent of RPA projects encounter a major failure when a UI changes. The result is a treadmill. You spend more time fixing broken bots than building new ones. Your automation portfolio becomes fragile and expensive.
What changes with computer use agents
- ●survives UI changes
- ●no brittle selectors
- ●recovers from exceptions
- ●follows the SOP as written
- ●works on legacy and Citrix
Computer use agents do not need brittle selectors. They see the screen like a human and act by moving the mouse, clicking, and typing. When a UI changes, the agent detects the new layout, looks for the same visual cues, and adjusts its actions. When an exception occurs, it reads the error message, tries a recovery step, and continues instead of halting. An SOP written in plain English is already almost a prompt. An agent can follow it directly, without a flowchart bot to build and babysit. Coasty’s agent works across browsers, desktop apps, terminals, and virtualized environments like Citrix. It does not depend on stable selectors, so it survives the very changes that break traditional RPA.
How to move without the risk
You do not need to rip and replace every existing bot at once. Start small. Pick a high-pain process that is UI-heavy, exception-prone, or defined by an SOP that only humans can run. Run a parallel pilot: keep the RPA bot running in production while you deploy the Coasty agent to the same process. Compare results side by side. Look at uptime, error rates, and time to fix. Once the agent proves stable and delivers measurable savings, roll it out to additional processes. Let RPA stay in place for high-volume, stable, backend tasks where it still excels. Use computer use agents for the long tail: processes with changing UIs, complex exception handling, and SOP-driven workflows. This phased approach lets you migrate safely while preserving value from existing automation.
Legacy RPA is brittle and expensive. Computer use agents survive UI changes, need no brittle selectors, and follow SOPs directly, making them the durable way forward for the long tail. To see how a parallel pilot could work for your team, book a demo with the Coasty team. Visit https://cal.com/coasty/15min to schedule a conversation.