Vendor Lock In: Escaping Proprietary RPA Platforms with AI Agents
Your finance team lives in one ERP and your procurement team in another. Each has a bot that moves data from one screen to another. The ERP updates its UI and suddenly three bots break at once. Engineering has to rebuild selectors, test, and redeploy across six environments. This is the reality of proprietary RPA platforms: every change to the application becomes a change to the bot. The backlog of broken processes grows, and teams spend more time patching than building new automation.
Why RPA breaks here
Most enterprise RPA platforms rely on selectors, XPath, and object IDs to find and interact with controls. The platform captures these elements at design time and hardcodes them into the bot. When an application updates its UI, those identifiers shift. The bot clicks the wrong button or fails to find a field. Large enterprises report that 40 to 60 percent of RPA maintenance time goes into fixing selector issues after an application release. Some teams estimate that each UI change can take days to debug and rerun across test and production environments. The cost compounds when multiple systems are involved. One update in a core ERP can cascade into failures across procurement, finance, and HR bots, all tied to the same proprietary platform.
What changes with computer use agents
- ●Survives UI changes without rebuilding
- ●No brittle selectors or object IDs
- ●Recovers from exceptions instead of halting
- ●Follows the SOP as written in plain English
- ●Works on legacy apps, Citrix, and virtualized desktops
Computer use agents see the screen like a human and act in context, so they adapt to change instead of breaking on it.
Why computer use agents are different
Coasty computer use agents control the desktop like a person. They see the screen, read text, and move the mouse and keyboard. They do not depend on selectors or object IDs. When the UI changes, the agent reads the screen again and finds the new control location. The same bot can continue running after an application update without any code change. Agents also handle exceptions and unexpected states. A human might pause, read an error message, and try an alternative path. A computer use agent can do the same, reading the screen and taking the next logical step instead of stopping. This makes them well suited to exception-heavy processes and workflows described in standard operating procedures. Because they operate at the desktop level, they work across any application, including legacy systems, Citrix environments, and virtualized desktops where traditional RPA struggles to maintain reliable connections.
How to move without the risk
You do not need to rip out all your RPA at once. Start with a single high-pain process where UI changes frequently or where maintenance costs are high. Document the process in plain English as a standard operating procedure. Run the process through a computer use agent to confirm it can execute end-to-end. Measure the time and effort required compared to the existing bot. If the agent performs well, expand to related processes. Over time, you can shift more work to agents while continuing to use RPA for high-volume, stable, backend tasks where it still makes sense. This phased approach lets you reduce vendor lock in gradually while building confidence in the new approach.
The cost of staying on a proprietary RPA platform is not just the license fee. It is the ongoing effort required to rebuild bots every time the application changes. Computer use agents let you automate processes that survive UI updates and exception-heavy workflows without the maintenance treadmill. To see how agents can work on your environment and reduce that ongoing cost, talk to the Coasty team and book a demo at https://cal.com/coasty/15min .