Change Management: Getting Your RPA Team to Adopt AI Agents for Durable Automation
Your automation team is already working hard to keep bots running. New releases, UI tweaks, and occasional errors pile up into a growing maintenance backlog. Processes that should be repeatable are still manual because the SOPs are too vague, or the bots break as soon as the app changes. The cost is not just lost time. It is the pressure on your team to rebuild and babysit brittle bots over and over again.
Why RPA breaks here
Traditional RPA tools like UiPath, Automation Anywhere, and Power Automate rely on selectors, xpaths, and object IDs. These are brittle. When a UI element moves, changes name, or is styled differently, the bot stops. Gartner estimates that up to 35 percent of an RPA bot’s total cost comes from maintenance and rework after initial deployment. In practice, this means your developers spend more time fixing broken bots than building new ones. The rebuild-on-change treadmill is real. It forces teams into a reactive cycle: a process changes, the bot breaks, the developer rebuilds, and the cycle repeats after the next update.
What changes with computer use agents
- ●Survives UI changes instead of halting
- ●No brittle selectors or object IDs to maintain
- ●Recovers from exceptions and unexpected states
- ●Follows standard operating procedures written in plain English
- ●Works across apps, including legacy systems and Citrix environments
The one line a VP of automation should remember: selectors are a maintenance tax, but computer use agents treat the screen as a living document that updates with the application.
How to move without the risk
A phased approach keeps the core automation running while you test AI agents. Start with a high-pain process that is currently manual or fragile. Document the process in plain English. Run a pilot on one process using a computer use agent to see how it handles UI changes and exceptions. Measure the impact on manual effort and bot failures. If the pilot succeeds, expand to related processes. Reserve traditional RPA for high-volume, stable backend tasks where it still fits. This balance lets you move toward more durable automation without a big-bang rewrite.
The RPA team does not need to abandon existing bots. It needs a way to build automation that is less fragile and easier to maintain. Computer use agents offer that path. Book a demo with the Coasty team at https://cal.com/coasty/15min to see how agents can fit into your current automation strategy.