Your RPA License Renewal Is Coming: The AI Agent Alternative
Your UiPath, Automation Anywhere, or Power Automate contract is up for renewal. You have a backlog of bots that need updates, a growing list of processes your team still runs manually, and a VP asking what you’ll do when the next version of the ERP or CRM ships. The usual answer is more maintenance and another multi-year license. This time, there’s a different option.
Why RPA breaks here
Traditional RPA relies on selectors, xpaths, and object IDs to drive applications. When a vendor releases a new UI theme, reorders a column, or changes a field label, the bot stops. You have to rebuild the flow, re-identify elements, and redeploy. In many enterprises, this rebuild-on-every-change cycle consumes 30, 40 percent of a bot’s total cost of ownership, according to industry research. Teams spend more time patching bots than building new ones. The original ROI story, that bots run forever with minimal intervention, starts to erode.
What changes with computer use agents
- ●Survives UI changes: Agents see the screen and react to what’s there, not what used to be there.
- ●No brittle selectors: They don’t depend on fragile element IDs, xpaths, or proprietary selectors.
- ●Recovers from exceptions: When a page loads slowly or a popup appears, agents retry, pause, or ask for guidance rather than halting.
- ●Follows the SOP as written: A standard operating procedure in plain English can drive an agent directly, removing the need for separate flowchart bots.
- ●Works on legacy and Citrix: Agents interact with virtualized and terminal-based environments where traditional RPA struggles.
Traditional RPA automates by binding to selectors. Computer use agents survive UI updates and exceptions by seeing the screen and acting like a human.
How to move without the risk
You do not need to retire all RPA at once. Start with one high-pain process: a workflow that involves frequent UI changes, many exception cases, or a complex set of steps written as a standard operating procedure. Run a small pilot on Coasty. Measure the difference in maintenance effort, the number of hours your team spends re-identifying elements, and the number of times the bot halts on unexpected state. Use those results to justify a broader rollout. RPA still makes sense for high-volume, stable, backend tasks that do not depend on the UI. Computer use agents are the durable way forward for the long tail of changing environments and exception-heavy work.
If your RPA license renewal is coming, the real question is whether you want to keep investing in brittle bots or move to a model that survives change. Book a demo with the Coasty team to see how computer use agents can handle your most fragile processes: https://cal.com/coasty/15min