The RPA exit strategy: moving from bots to autonomous AI agents
Your automation team spent months building bots that do the same three steps every day. Then the vendor released a new release, or the finance team changed the form fields, or a compliance update added a new checkbox. The bot broke. A developer had to hunt down the new selectors, rebuild the flow, and redeploy. This is the RPA treadmill, and it is coming for every large organization.
Why RPA breaks here
Traditional RPA in tools like UiPath, Automation Anywhere, Blue Prism, and Power Automate works by binding directly to UI elements. It looks for a specific XPath, CSS selector, or object ID, clicks the button, grabs the text, and moves on. When the application changes, the bot stops. A Gartner survey shows that 60 percent of RPA projects exceed their original budget, largely because maintenance consumes 70 to 80 percent of total cost of ownership over time. Every time a UI updates, a process changes, or a user reports a new error, the developers spend more time patching bots than building new automation. This creates a backlog of broken processes that only humans can run, defeating the purpose of automation.
What changes with computer use agents
- ●Survives UI changes: agents read the screen and act on what they see, so a new tab or reformatted field does not stop execution.
- ●No brittle selectors: they do not depend on stable object IDs or XPaths, which are the first things to break when systems evolve.
- ●Recovers from exceptions: when an agent hits an unexpected state, it can retry, adjust, or ask for guidance instead of halting.
- ●Follows the SOP as written: standard operating procedures written in plain English are already close to a prompt. Agents interpret them directly, with no flowchart bot to build and babysit.
- ●Works on legacy and Citrix: because agents see and control the desktop the same way a human does, they run on terminals and virtualized environments where RPA struggles.
RPA is excellent for high-volume, stable, backend tasks. Computer use agents are the durable answer for the long tail of changing processes, exception-heavy workflows, and SOP-driven work.
How to move without the risk
You do not need to rip out all RPA at once. Start with one process that is high‑pain, frequently changing, and documented in plain English. For example, a procurement request workflow that touches three different systems, has multiple approval steps, and often requires human judgment. Build a Coasty agent to run that process in parallel with a human. Measure how often the agent pauses, how much time it saves, and how many cases it handles without manual intervention. Once you have confidence in an agent’s reliability, expand to other high‑pain, SOP‑heavy processes. Keep RPA for the parts that are truly stable and deterministic, such as high‑volume data entry or rule-based backend processing. This phased approach lets you benefit from agents while maintaining the reliability of your existing RPA stack.
The cost of staying on brittle, rebuild‑on‑change RPA grows every time a UI or process changes. Autonomous computer use agents let you automate the long tail of work that RPA can no longer handle. Ready to see how agents can work on your desktops and browsers? Book a demo with the Coasty team at https://cal.com/coasty/15min.