Your automation team ships a bot. It works for a quarter. Then the HR portal redesigns a dropdown, or the finance system changes the column order in the AP voucher table. The bot stops. A developer must rebuild the job, test it, and redeploy. This is the RPA maintenance treadmill. When the backlog grows, your automation program feels more like a cost center than a value driver. That is the pain your leadership wants to stop.
Why RPA breaks here
Traditional RPA (UiPath, Automation Anywhere, Blue Prism, Power Automate) automates by binding to selectors, XPath, or object IDs. When the app or UI changes even slightly, the bot breaks and a developer has to rebuild it. That is the maintenance treadmill. For many enterprises, the actual cost of keeping bots alive exceeds the initial development budget. Analysts and industry benchmarks show that a significant fraction of RPA projects require partial or full rebuilding within 12 months due to UI drift and requirements changes. Each rebuild consumes developer time, creates new regression risks, and delays business value. When you audit a bot’s actions, you are often reviewing a brittle, fragile chain that is already drifting from reality.
What changes with computer use agents
- Survives UI changes
- No brittle selectors
- Recovers from exceptions
- Follows the SOP as written
- Works on legacy and Citrix
- Clear audit trail of what the agent saw and did
The one line a VP of automation should remember: selectors break, but agents that see the screen do not.
How to audit with computer use agents
Computer use agents SEE the screen and act like a human: move the mouse, click, type, read the result. They do not rely on brittle selectors. They can follow a standard operating procedure written in plain English and execute it across any application, including legacy systems and Citrix environments where RPA struggles. Because they operate like a human user, they generate a clear audit trail: what screen they saw, what they typed, and what outcome they observed. You can compare that trail directly against the SOP requirements line by line. If a step fails, the agent can try an alternative action rather than halting. This capability transforms the audit from a postmortem on broken logic into a straightforward check against documented steps. You can spot drift, validate compliance, and trust the process without rewriting selectors.
How to move without the risk
You do not have to rip out all RPA at once. A pragmatic, phased path lets you benefit from computer use agents while keeping what works. Start by identifying one high-pain process where UI changes frequently, exceptions are common, or the existing SOP is already written in plain English. Pilot a computer use agent on that process using the actual SOP. Measure how often the agent recovers versus halts, how long it takes to complete tasks, and how the audit compares to manual execution. Then expand to other processes where the same principles apply. Over time, you can shift more work to agents and keep RPA for high-volume, stable, deterministic backend tasks. This layered approach lets you build confidence, demonstrate value, and reduce the total cost of ownership over time.
You can finally move from brittle bots that break on every change to agents that see the screen, follow your SOPs, and leave a clear audit trail. The next step is to see it in action. Book a demo with the Coasty team at https://cal.com/coasty/15min and let us show how computer use agents can make your automation program more durable, auditable, and ready for the long term.
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