Your RPA team is drowning in tickets. A new version of the HR portal arrived last week, and three bots are now broken. The finance team has a dozen unrunnable SOPs because they require manual navigation and exception handling. In many enterprises, the cost of maintaining bots and human-only processes outweighs the savings they were supposed to deliver.
Why RPA breaks here
Traditional automation binds to selectors, xpaths, and object IDs. When an update shifts a field location, changes a button class, or reorders a table, the bot halts. Development teams then spend hours rebuilding each affected flow. Analysts estimate that between 30% and 60% of RPA maintenance time goes into reworking selectors after updates, especially in high-turnover SaaS environments. That is the maintenance treadmill: each platform change forces a rebuild. In large enterprises with dozens of bots and frequent releases, the backlog can grow into months of unplanned work.
What changes with computer use agents
- Survives UI changes: agents look at the screen instead of brittle selectors.
- No brittle selectors: the agent works across any web app, desktop app, or legacy interface.
- Recovers from exceptions: when something unexpected happens, it reads the error and tries a next step instead of failing.
- Follows the SOP as written: the standard operating procedure is already a prompt. The agent reads it, sees the screen, and acts.
- Works on legacy and Citrix: computer use agents interact with the visual layer, so they can run where traditional RPA struggles.
A standard operating procedure written in plain English is already almost a prompt. Turn it into an executable workflow and version control it like code.
How to move without the risk
You do not need to rip out all RPA at once. Treat computer use agents as a complementary layer for the long tail: processes with frequent UI updates, high exception rates, or complex human-like navigation. Start with one high-pain process, such as an end-to-end onboarding workflow that currently requires manual steps and exception handling. Document the process as a clear SOP, then run it through the Coasty agent to see how it behaves. Measure the time saved and the number of exceptions avoided, then compare that against the ongoing cost of maintaining the existing RPA bots. Once you have a proof point, expand to similar workflows. Keep using RPA for high-volume, stable, backend tasks that are better suited to strict selector-based automation. The goal is to reduce rebuild cycles, not eliminate automation.
Your SOPs can become version-controllable workflows that adapt to change instead of breaking. The Coasty team can show you how to pilot this approach on your highest-pain process. Book a demo with the Coasty team at https://cal.com/coasty/15min.
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