Your automation team has a backlog of bots that are down for maintenance. A business user sends a new SOP and it gathers dust because no one has time to build a flowchart bot. IT is warned about RPA sprawl and security risk. This is the cost of staying on RPA: a fragile fleet, a growing maintenance team, and processes that only humans can run.
Why RPA breaks here
Most enterprise RPA tools rely on selectors, xpaths, and object IDs. When a vendor updates a UI, changes a class name, or shifts a page layout, the bot breaks. A developer has to rebuild the automation. Gartner estimates that 40 percent of RPA maintenance time goes into reworking bots after updates. Another study shows that 30 percent of automation tickets are caused by UI changes, not logic flaws. This is the rebuild-on-every-change treadmill. If your IT team spends more time fixing selectors than adding new automations, you are already on that treadmill.
What changes with computer use agents
- Agents see the screen like a human, so they survive UI changes and layout shifts.
- No brittle selectors or xpaths to maintain. The automation adapts to whatever is visible.
- When a step fails, an agent can read the result and retry, go around the problem, or ask for a human handoff instead of halting.
- Agents can follow any SOP written in plain English. No flowcharts, no special development effort.
- Because they see the screen, they work on legacy apps, Citrix, virtual desktops, and any system that exposes a browser or desktop.
RPA breaks on UI change; computer use agents adapt to the UI and recover from exceptions, so they are the durable way forward.
How to move without the risk
You do not need to rip everything out at once. A phased approach protects your business while you gain the benefits of computer use. First, pick one process that is high pain and high opportunity: a workflow that repeatedly fails because of UI changes, or a business SOP that few humans can follow reliably. Run that process in parallel with both the old RPA bot and a Coasty computer use agent. Compare failure rates, uptime, and time needed to fix issues. If the agent stabilizes the workflow, retire the RPA bot. Then scale that pattern to other processes. This approach lets you validate the new model, train your team, and build confidence before expanding to more complex workloads. RPA still makes sense for high-volume, stable, deterministic backend tasks like large-volume data entry or rule-based exceptions. The computer use agents take over the long tail, exception-heavy, and UI-volatile work.
The durability advantage
Computer use agents have a different cost structure than RPA. They do not require a specialized developer for every change. An SOP updated by a business user can be handed directly to an agent. When an application updates, the agent can see the new layout, adjust its actions, and keep running. This reduces the number of tickets and the time IT spends on maintenance. It also opens the door to automating processes that were never reachable with traditional RPA because they relied on UI elements that change or are not exposed via APIs.
Preparing your team
Moving to computer use agents means a shift in skills and process. Your automation team will focus on designing clear SOPs and validating outcomes rather than hunting for selectors. Business users become more involved in defining and updating workflows because the language is plain English. IT gains a new tool for automating work that was previously out of scope because of technical complexity. This alignment reduces the communication gap between operations, business teams, and IT, so automation delivers faster and stays relevant longer.
You can migrate off RPA without a single point of failure by starting with one high-pain process, running it in parallel, and expanding where the agent performs better. Computer use agents are the durable way forward for the long tail and exception-heavy work. Talk to the Coasty team to see how this approach works for your environment. Book a demo at https://cal.com/coasty/15min.
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