How to Run a 30 Day Pilot Replacing One RPA Process with a Computer Use Agent
You have an RPA bot that processes a monthly reconciliation. It runs reliably for weeks, then fails the moment HR updates the payroll screen or the finance app rolls out a new version. Your team spends days rebuilding selectors and retesting. The backlog grows. Meanwhile, the SOP for this task is already written in plain English, but only humans can follow it. This is the common reality for many automation programs. The bot is brittle. The process is untethered. You are stuck between a tool that breaks and a procedure that only people can execute.
Why RPA breaks here
Most enterprise RPA tools like UiPath, Automation Anywhere, Blue Prism, and Power Automate rely on selectors, xpaths, or object IDs to know where to click or what to read. When the UI changes, those identifiers stop working, and the bot halts. A 2025 industry analysis of major RPA deployments found that about 60 percent of automation failures trace back to UI updates, selector breaks, or other environmental changes. The cost is not just downtime. Each change triggers a rebuild, regression test, and redeployment cycle. Teams report an average of four to six rebuilds per bot per year for processes that touch frequently changing web portals or internal applications. That is maintenance work that does not move the needle on revenue or compliance. The bot becomes a liability, not a lever.
What changes with computer use agents
- ●Agents SEE the screen and act like a human: move the mouse, click, type, read the result.
- ●They survive UI changes and app updates because they do not depend on brittle selectors.
- ●When an exception occurs, the agent looks around, adjusts, and continues instead of halting.
- ●They can follow a standard operating procedure written in plain English as a prompt.
- ●They work across any application, including legacy systems, Citrix environments, and virtual desktops where traditional RPA struggles.
The one line a VP of automation should remember: selectors break with every UI change, but agents see the screen and keep going.
How to move without the risk
A 30 day pilot helps you decide where agents fit and where bots remain appropriate. Start by picking one high-pain process that has recurring failures, frequent UI changes, or a well-defined SOP. Examples include onboarding paperwork, invoice reconciliation, or customer support ticket triage. Define the scope clearly: which screens to touch, what data to capture, and how success is measured. Record current uptime and failure rates. Run the process with your existing RPA bot. Next, engage an agent like Coasty on the same process. The agent reads the SOP and works through the same steps, navigating the same applications and handling the same inputs. After 30 days, compare uptime, error rates, and time to resolve issues. Be honest about what works. Agents excel at processes that change often, require exception handling, and are documented in natural language. RPA remains strong for high-volume, stable, back-end tasks with predictable interfaces. The pilot tells you where each tool is best applied, not that one tool replaces everything on day one.
What you need to make the pilot work
- ●A clearly written SOP in plain English for the process.
- ●Access to the same accounts and applications used by the current bot.
- ●A way to monitor and log agent actions for review and compliance.
- ●A team with basic IT and process knowledge who can answer questions and validate outputs.
The durable path forward
Computer use agents control real desktops, browsers, and terminals, not just API calls. On OSWorld benchmarks, our in-house model scores 85.6 percent on public results, and an independently verified score of 82.81 percent on the official leaderboard at osworld-v1.xlang.ai. This performance is on real desktop environments, not sandboxes. Coasty provides cloud VMs, a desktop app, agent swarms for parallel execution, a /v1 computer use API, an MCP server, and a free tier to get started. The platform lets you scale agents as your use cases grow, while keeping controls around data and integration. The pilot is not a gamble. It is a controlled experiment that shows where agents add durable value and where traditional RPA remains the right tool. The question is not whether agents will be used. The question is which processes you will pilot first.
Ready to see how a computer use agent handles your most fragile process? Book a demo with the Coasty team at https://cal.com/coasty/15min and start your 30 day pilot today.