What to Do When Your RPA Vendor Doubles the Price: Why Computer Use Agents Are the Durable Answer
Your automation team hit a wall. The vendor announced a price hike. Then, two weeks later, the finance portal layout changed and half your bots stopped working. You now have a maintenance backlog, a ballooning bill, and processes that only humans can run. This is the cost of staying on brittle, selector-bound RPA.
Why RPA breaks here
Traditional RPA tools like UiPath, Automation Anywhere, or Power Automate rely on selectors, xpaths, and object IDs to locate elements on a screen. When an application updates even slightly, those identifiers shift and the bot fails. A Gartner-style industry analysis suggests that 30 to 40 percent of RPA maintenance hours are spent on redefining selectors rather than new work. When a vendor raises prices, the team often responds by shrinking scope to protect the budget. That means fewer processes get automated and the backlog grows. The rebuild-on-change treadmill makes automation feel like a permanent project rather than a durable capability.
What changes with computer use agents
- ●Survives UI changes instead of halting on them
- ●No brittle selectors or xpaths to maintain
- ●Recovers from exceptions and unexpected states
- ●Follows the SOP as written, without flowcharts or complex logic
- ●Works on legacy software, Citrix, and virtualized desktops where RPA struggles
The one line a VP of automation should remember: selectors break when the app changes, but agents that see the screen adapt.
How to move without the risk
A phased migration protects your investment and builds confidence. First, identify one high-pain process that is exception-heavy or runs on a changing UI. Build a plain English SOP for it. Then run a pilot with a computer use agent to see how it performs across the steps. Measure the time saved and the reduction in manual exception handling. If the agent handles the process successfully, expand to other similar workflows. This approach lets you scale automation gradually while keeping RPA for high-volume, stable backend tasks where it still fits. You avoid a big-bang switch and can prove value before committing to a broader rollout.
The next step is to see how a computer use agent performs on your own workflows. Book a demo with the Coasty team to run a pilot on a real process and understand the practical impact on your automation roadmap at https://cal.com/coasty/15min .