Your finance team still runs a bot to download and reconcile vendor invoices. The HR team has a script to pull HRIS data and push it into a travel system. These bots work today. But every time the ERP updates its layout or the travel portal redesigns the booking page, the bot breaks. A developer has to find the new selectors, test the fix, and redeploy. The cost is not just development time. It is lost productivity, delayed releases, and a growing backlog of broken automations. This is the RPA maintenance treadmill, and most organizations are stuck on it.
Why RPA breaks here
Traditional RPA tools like UiPath, Automation Anywhere, and Power Automate rely on selectors, xpaths, and object IDs to locate elements on a screen. These identifiers are tightly coupled to the application layout. When a vendor changes a button label, a column order, or a mobile view, the selectors no longer match. The bot halts, reports an error, and waits for a developer. In many enterprises, developers spend 60 percent of their time on maintenance rather than building new automations. A Gartner estimate puts the average failure rate of RPA bots at 7 to 10 percent per month, largely due to UI changes and unanticipated states. Each failure forces a rebuild that can take hours or days. The cycle repeats every time the application changes, creating a treadmill that never ends.
What changes with computer use agents
- Agents SEE the screen and act like a human: move the mouse, click, type, read the result.
- No brittle selectors means agents keep working when UI elements change.
- Agents recover from exceptions and unexpected states instead of halting.
- A plain‑English SOP is already almost a prompt. Agents follow it directly.
- Work across any app, including legacy systems, Citrix environments, and virtual desktops where RPA struggles.
Computer use agents replace brittle selectors with visual perception and recovery. They turn a fragile, rebuild‑on‑change approach into durable, SOP‑driven automation.
How to move without the risk
Do not rip out all existing RPA at once. Pick one high‑pain process that is UI‑heavy, has frequent updates, or lives on legacy infrastructure. For example, a bot that reconciles invoices across multiple ERPs and a third‑party procurement portal. Build a pilot computer use agent for that process, measure the time saved and the reduction in maintenance incidents, then expand to similar workflows. Keep the stable, high‑volume, deterministic backend tasks on traditional RPA where it still fits best. This phased migration lets you realize benefits quickly while keeping risk low.
The durable alternative
Coasty is a computer use agent that controls real desktops, browsers, and terminals. It does not require brittle selectors and it can handle UI changes and exceptions autonomously. Our in‑house model achieves 85.6 percent on OSWorld from public results, and independent verification shows 82.81 percent on the official OSWorld leaderboard, reflecting strong performance on real‑world tasks. Organizations can run agents on cloud VMs, the desktop app, or through a /v1 computer use API. An MCP server connects agents to your internal tools, and BYOK options let you keep data where it belongs. You can start with a free tier to evaluate the technology. For enterprises that need parallel execution, agent swarms can scale across multiple workloads.
The RPA maintenance treadmill is not a feature, it is a cost you can reduce. Computer use agents give you a path off that treadmill by seeing the screen, recovering from errors, and following SOPs without brittle selectors. If you want to explore how agents can replace rebuilds for a specific process, book a demo with the Coasty team at https://cal.com/coasty/15min .
Want to see this in action?
View Case Studies