Lift and Shift Your RPA Workflows to Computer Use Agents
Your automation team built bots for procurement entry, invoice matching, and case intake. They work well today. But every UI update creates a new ticket. Your developers spend days rebuilding workflows instead of delivering value. SOPs for complex approval chains sit in shared drives, documented in plain English but never automated. The maintenance backlog grows while the business expects faster turnaround. This is the cost of staying on brittle, selector-based RPA.
Why RPA breaks here
Most enterprise RPA platforms rely on selectors, XPath, and object IDs to locate elements on a screen. A change in a vendor portal, a new version of a CRM, or even a font update breaks those bindings. Gartner estimates that 30 to 40 percent of RPA maintenance time goes into fixing selector drift, not on new automation. When a bot hits an unexpected screen state, it halts. A human must intervene, investigate, and change the flow. This means higher downtime, more manual handoffs, and rising total cost of ownership for every process.
What changes with computer use agents
Computer use agents do not depend on a fixed map of UI elements. They see the screen like a human, read text, interpret buttons by context, and move the mouse, click, and type. This core difference changes three key behaviors. First, the agent survives UI changes because it works from what it sees, not from a brittle selector list. Second, it recovers from exceptions, re-reading the screen to find the correct control instead of crashing. Third, it follows SOPs written in plain language. No flowchart bots to build, no new automation platforms to learn. The same SOP that a human reads becomes a natural prompt for the agent.
The durability advantage is clear: RPA needs rebuilding on every change, while computer use agents adapt and keep running.
How to move without the risk
You do not need to replace all RPA at once. Start with a high-pain, SOP-heavy process where UI changes frequently and exceptions are common. For example, a multi-step vendor onboarding workflow with conditional approvals. Run a pilot with a computer use agent on a cloud VM. Compare uptime, exception rate, and hands-off execution hours against the existing bot. When you see the durability gap, expand to related processes. Keep your stable, high-volume RPA for backend data movement and unchanging integrations. The goal is a hybrid model where agents handle the changing, exception-rich work and RPA handles the stable, high-volume tasks.
If your automation team is stuck in a rebuild cycle, it is time to lift and shift to computer use agents. A demo with the Coasty team will show how agents survive UI changes, follow SOPs directly, and recover from exceptions. Book a demo to see the durable automation path for your enterprise. https://cal.com/coasty/15min