How to Run a 30-Day Pilot Replacing One RPA Process with an Agent
Three years ago, your automation team built a UiPath bot to reconcile monthly vendor invoices. It worked fine for six months. Then the finance system introduced a new screen layout and a new column name. The bot started skipping rows. Your developers spent two weeks hunting down the new selectors and xPaths. The bot finally worked again, but the team spent another week testing it against a new HR portal. Your backlog grew. Your operational risk grew. And the team spent less time building new automations and more time babysitting the existing ones. That is the classic maintenance treadmill of traditional RPA.
Why RPA breaks here
Traditional RPA tools bind automation to specific UI elements. They use selectors, xPaths, and object IDs. When an application changes its layout, renames a field, or reorders columns, those bindings become invalid. The bot stops working. According to Gartner, a typical enterprise RPA program spends 40 percent of its budget on maintenance and rework. A study by McKinsey estimates that 15 percent of RPA projects fail after their initial deployment because of unanticipated UI changes. The cost is not just engineering time. It is also the risk of missed deadlines, audit issues, and shrinking confidence in automation. When the process involves reading and writing data across multiple systems, a single UI change can cascade into multiple broken workflows.
What changes with computer use agents
- ●Survives UI changes: Agents see the screen and navigate using coordinates and visual cues rather than brittle selectors. When a field moves, the agent finds it again.
- ●No brittle selectors: Agents treat the screen as a visual surface. They can work in browsers, desktop apps, Citrix, and legacy systems where selector-based RPA struggles.
- ●Recovers from exceptions: Agents read the result of each step, detect failures, and try alternative actions. They do not halt at the first unexpected state.
- ●Follows the SOP as written: A standard operating procedure written in plain English is already a prompt. Agents can read it directly and execute it without a flowchart bot to build and maintain.
- ●Works on legacy and Citrix: Because agents move the mouse and type like a human, they bypass the need for direct API access or perfect screen scraping.
Competitors rely on brittle selectors and halt on the first error. Coasty computer use agents see the screen, adapt to change, and recover from exceptions.
How to move without the risk
You do not need to rip out your entire RPA portfolio. Start with one high-pain, UI-sensitive process. Use a 30-day pilot to prove the value. Here is a practical path. First, identify a process that is prone to UI changes and exception handling. Examples include data migration between systems, reconciling reports across multiple portals, or onboarding users across legacy and modern applications. Second, document the process as a clear SOP. Write each step in plain language and capture the decision logic. Third, integrate the SOP with Coasty’s computer use agent. You can connect via the /v1 computer use API or use the desktop app. The agent reads the SOP, navigates the systems, and performs the actions. Fourth, run the pilot in a controlled environment. Compare the time to process, error rate, and maintenance effort with the existing bot. Fifth, measure the difference. You will likely see faster deployments, fewer rewrites, and a lower maintenance backlog. Sixth, expand the pilot to additional processes. Use the lessons learned to refine your SOPs and agent workflows. Finally, decide where RPA and agents fit together. RPA remains strong for high-volume, stable, backend tasks. Agents excel in the long tail of changing UIs, exception-heavy workflows, and SOP-driven processes.
Practical pilot checklist
- ●Pick one process that is UI-sensitive and exception-heavy.
- ●Document the process as a clear SOP in plain language.
- ●Set up a pilot environment using Coasty’s desktop app or cloud VMs.
- ●Define success metrics: processing time, error rate, maintenance effort.
- ●Run the pilot for 30 days and compare results against the existing bot.
- ●Use the results to refine SOPs and expand to additional processes.
You can replace one brittle RPA bot with a computer use agent in a month. The pilot is low risk, high signal. It shows how agents adapt to change instead of breaking, and how SOPs become executable automation. Ready to see the difference? Book a demo with the Coasty team at https://cal.com/coasty/15min.