Most automation teams live on a treadmill. A bot works for weeks, then a vendor UI update, a new release, or a security patch breaks it. The team rebuilds it, tests, and redeploys. The cost is real. Gartner estimates that over 60 percent of RPA implementations fall short within two years, largely because they cannot keep up with UI changes. At the same time, your teams write standard operating procedures in plain English: clear, step-by-step instructions that only humans can execute. You are paying for bots to follow a human manual you already have, but the bots never actually read it.
Why RPA breaks here
Low-code platforms like UiPath, Automation Anywhere, and Power Automate excel at high-volume, stable, backend tasks. They bind to selectors, XPath, and object IDs. When the application changes, those identifiers change, and the bot breaks. A 2023 industry survey found that IT teams spend roughly 40 percent of their RPA maintenance budget on rework caused by UI updates. That means for every dollar of new automation, you are spending nearly half a dollar just to keep it running. When exceptions appear, unexpected alerts, error pages, or state shifts, traditional bots halt. You need a human to investigate and reconfigure the flowchart, then redeploy. The process is brittle, manual, and expensive.
What changes with computer use agents
- Agents SEE the screen and act like a human: they move the mouse, click, type, and read the result.
- No brittle selectors. Agents work even when UI elements change names, move, or disappear.
- When an exception occurs, agents can reason about what went wrong and try a different path instead of halting.
- Computer use agents can follow a standard operating procedure written in plain English directly.
- They work across any app, including legacy systems, Citrix, and virtualized desktops, where RPA struggles.
Selectors bind to a fixed UI; agents read the screen like a human does.
How to move without the risk
You do not need to rip out your existing RPA stack. The pragmatic path is to treat computer use agents as an additional automation layer that complements your current investments. Start by identifying one high-pain process: a workflow with frequent UI changes, heavy exception handling, or clear SOP documentation. Run a pilot with a computer use agent. Measure the difference in time to resolution, maintenance effort, and error recovery. Once you have a baseline, expand the agent layer to adjacent processes. Over time, you shift more of the long-tail, exception-heavy work to agents while keeping stable, high-volume back-end tasks on your existing RPA platform. This phased approach lets you build confidence, prove value, and control risk.
The durable automation layer for modern enterprises is not another flowchart builder. It is a system that can see, read, and act on the screen like a human. Book a demo with the Coasty team at https://cal.com/coasty/15min to see how computer use agents can reduce maintenance, handle exceptions, and follow your SOPs automatically.
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