Every automation center of excellence faces the same reality: a backlog of broken bots and processes that can only be run by hand. The pain shows up when a payroll update breaks a month-end reconciliation bot, or when a new vendor portal forces your team to rebuild workflows from scratch. The bills add up, but the real cost is the loss of momentum.
Why RPA breaks here
Traditional RPA relies on selectors, xpaths, and object IDs. When a screen changes, the bot stops. Industry benchmarks show that up to 70 percent of RPA maintenance time goes into re-engineering bots after UI updates. This is the rebuild-on-change treadmill. Every version of a web application, every new field in a legacy system, and every update to a Citrix virtual desktop creates new work for your developers. The result is a brittle automation portfolio that cannot scale without constant hand-holding.
What changes with computer use agents
- Survives UI changes because the agent sees the screen like a human.
- No brittle selectors or xpaths to maintain.
- Recovers from exceptions by re-reading the screen and trying a different action.
- Follows the SOP as written, without needing a separate flowchart bot.
- Works across legacy apps, Citrix environments, and any desktop or browser.
RPA automates by binding to brittle selectors; computer use agents see the screen and adapt.
How to move without the risk
You do not need to rip out your existing RPA portfolio overnight. Start with one high-pain, rule-heavy process that sits on a volatile UI or requires complex exception handling. Document it in plain English, then pilot a computer use agent on that process. Measure time savings, error reduction, and maintenance effort. Once the team sees the agent handle UI changes and exceptions without developer intervention, you can expand to other processes. This phased approach keeps risk low while proving the value of computer use agents in your environment.
The next step is to see how a computer use agent handles your actual processes. Book a demo with the Coasty team to compare your current automation pain points against a durable AI agent approach at https://cal.com/coasty/15min.
Want to see this in action?
View Case Studies