Rip and Replace vs Run in Parallel: Migrating Off RPA Safely
Your automation team has been adding bots for years. Some run on autopilot for months. Many stop working after the next software update. You keep a maintenance backlog of selector fixes and developer rewrites. Some processes never get automated at all because the UI is too unstable or the steps are written as human instructions instead of flowcharts. This is the RPA treadmill. The cost of staying on it is not just the license fees. It is the hours spent keeping brittle bots alive and the work stuck on manual steps.
Why RPA breaks here
Traditional RPA tools like UiPath, Automation Anywhere, Blue Prism and Power Automate work by finding a specific element on the screen and binding to it. They use selectors, xpaths, object IDs and other locators that depend on the current layout. When an application updates its UI, a developer must find the new selector, update the bot and test it. This rebuild-on-every-change cost shows up as a growing maintenance queue. Industry estimates suggest that for every dollar spent on RPA licenses, enterprises spend two to three dollars on maintenance over a five-year period. That maintenance is mostly fixing selector breaks and adapting to UI changes. The more complex or unstable the environment, the faster the backlog grows. Processes that involve Citrix, legacy applications or frequent releases are particularly brittle. The bot halts when it cannot find the expected element, and a human must intervene. This interruption creates unplanned downtime and forces teams to maintain multiple versions of the same process.
What changes with computer use agents
Computer use agents see the screen and act like a human: they move the mouse, click, type and read the result. They do not rely on a fixed selector or xpath. When the UI changes, the agent finds the next best matching element instead of failing. This makes them much more durable across updates. Because they read the screen, they can also follow a standard operating procedure written in plain English, without converting it into a flowchart. When an exception occurs , for example, a missing field or an unexpected message , the agent can reason about the situation and recover, rather than halting. This makes them suitable for complex, exception-heavy workflows. Coasty is a computer use agent platform that controls real desktops, browsers and terminals. Our in-house model scores 85.6 percent on OSWorld with public results and 82.81 percent on the official OSWorld leaderboard at osworld-v1.xlang.ai, the only real benchmark for AI computer use. This level of performance matters when you need an agent that can reliably work across different applications and operating systems, including legacy systems and virtualized desktops where traditional RPA struggles.
- ●Survives UI changes
- ●No brittle selectors
- ●Recovers from exceptions
- ●Follows the SOP as written
- ●Works on legacy and Citrix
Computer use agents survive UI changes and follow SOPs, replacing the rebuild-on-change treadmill with durable automation.
How to move without the risk
A rip-and-replace strategy is risky when your automation portfolio is still in production. A safer approach is to run in parallel for a pilot process. Pick one high-pain workflow where manual steps are frequent, the UI is unstable, or the process is documented as a human SOP. Coordinate with the business to measure the current cost: hours of manual work, errors and downtime. Then deploy a computer use agent for the same workflow. Compare the two in production. Measure success by speed, consistency and error rates, not just by license cost. If the agent performs well and the business is comfortable, expand the pilot to related processes. Over time, you can gradually shift more work from the RPA bots to the agents. This phased migration lets you de-risk the transition while proving the value of computer use automation. Keep the RPA bots running for high-volume, stable, backend tasks where their determinism and maturity still make sense. The goal is not to replace everything at once but to move the long tail of brittle, exception-heavy workflows to a more durable automation layer.
You do not have to rip out all your RPA at once. Start with one process that suffers from selector fragility and rebuild cycles. See how a computer use agent handles the same steps across UI changes and exceptions. If you want to see this in action, book a demo with the Coasty team at https://cal.com/coasty/15min.