Lift and Shift Your RPA Workflows to Computer Use Agents

Why RPA breaks here

Traditional RPA tools like UiPath, Automation Anywhere, and Blue Prism control applications by binding to specific elements. They use selectors, xpaths, and object IDs to find a button, an input field, or a dropdown. When the software changes even one character in a class name or an ID, the binding breaks. The bot clicks the wrong place or gives up entirely. Your team has to re-record or reconfigure the steps. Each change in the application means another ticket, another review, another rebuild. The cost compounds. A typical RPA program can spend 20 to 30 percent of its total cost of ownership just on maintenance and rework. The more complex the flow, the more fragile the automation becomes.

What changes with computer use agents

• ●Survives UI changes: agents see the screen and act where the human would, not where a selector says a button is.
• ●No brittle selectors: they do not rely on fixed element IDs or xpaths that break on updates.
• ●Recovers from exceptions: when a step fails, agents can read the error message and retry or try an alternative path.
• ●Follows the SOP as written: a standard operating procedure written in plain English is already almost a prompt. Agents can execute it directly without building flowchart bots.
• ●Works on legacy and Citrix: RPA tools often struggle with virtualized and legacy environments. Computer use agents control the desktop and browser like a human, so they can run anywhere.

How to move without the risk

You do not have to rip out every RPA bot at once. A phased lift-and-shift approach lets you test agents where they will clearly win. Start with one high-pain process where UI changes frequently or where exceptions are common. Pilot a computer use agent on a cloud VM. Compare uptime, maintenance effort, and time to value. If the agent handles the flow with fewer rewrites and fewer tickets, expand to more processes. Keep the stable, deterministic RPA bots that still fit high volume, stable backend tasks. Over time you can shift more work to agents. This path lets you use what works and replace what breaks.

Why computer use agents fit the long tail

The long tail of enterprise automation is full of edge cases, changing forms, and SOPs that were never automated because the tools required too much manual design. Computer use agents do not need flowcharts. They read the steps and execute them on the screen. They can handle unstructured data, read error messages, and choose alternative actions when something unexpected happens. This fits perfectly with the many processes that live in text, PDFs, and legacy systems where RPA struggles. Instead of rebuilding every time the app changes, you let the agent see what is there and act accordingly.

What Coasty brings to the lift and shift

• ●Top computer use agent performance: Coasty achieved 85.60 percent on OSWorld, the leading benchmark for desktop control agents.
• ●Cloud VMs and desktop app: run agents in the environment that fits your governance and security requirements.
• ●Agent swarms: run multiple agents in parallel to scale across processes and teams.
• ●Computer use API and MCP server: integrate agents into your existing workflows and automation stacks.
• ●BYOK: keep your keys and data where you control them.
• ●Free tier to start: try agents without an immediate commitment.