At a midsize financial services firm I visited last year, the automation team showed me a three-year-old workflow that handled onboarding for new advisors. It worked perfectly when it was built, but the last six months had been a grind of bug fixes and manual workarounds. Every time the HR portal UI changed, the selectors broke. Every time a new field was added, the bot failed. The SOP still said, "Click the button labeled Submit." But the button label had moved, and nobody updated the documentation. The team spent more time fixing the bot than the bot saved. This is the pattern I see across enterprises in 2025 and 2026.
Why RPA breaks here
Traditional RPA works by binding to specific UI elements. It finds a button by its selector, an input field by its XPath, or a container by its object ID. When the application changes, the selector no longer points to the same element, and the bot halts. Gartner estimates that up to 40 percent of RPA maintenance costs are tied to UI and selector changes. A medium-sized enterprise with a few hundred bots can easily spend millions a year on rebuilds, retraining, and exception handling. The process owner writes a SOP. The automation engineer translates it into a flowchart and builds selectors. When the app evolves, the engineer rebuilds the flowchart and the selectors. The cost compounds with every release.
What changes with computer use agents
- Agents see the screen and act like a human: move the mouse, click, type, read the result.
- They do not depend on brittle selectors or fixed XPath patterns.
- They adapt when the UI changes because they re-evaluate what they see.
- They recover from exceptions instead of halting. If a step fails, they can inspect the screen, retry, or switch to a fallback workflow.
- They can follow a plain‑English SOP without a separate flowchart or bot.
- They work across any application including legacy systems, Citrix virtual desktops, and browser-based tools where RPA struggles.
RPA is great when the process is stable and the UI does not change. Computer use agents are durable when the process is complex, the UI evolves, and the SOP is written for humans. The durable automation platform is the one that survives the next UI update without a rebuild.
How to move without the risk
You do not need to rip out all your existing RPA in one go. Start with a single high‑pain process where the SOP is written for humans and the UI changes frequently. Examples include onboarding workflows, vendor setup, or order fulfillment that touches multiple systems. Document the process in plain English as it is currently performed. Then run a small pilot with a computer use agent. Measure how much of the process completes automatically, how often the agent needs human intervention, and the total time saved. Compare that to the cost of maintaining the existing RPA bot. If the agent can run on the same systems and produce a net benefit, expand to other processes. Reserve traditional RPA for high‑volume, stable back‑end tasks where the ROI is clear and the UI is unlikely to change. This phased approach lets you modernize without a big‑bang disruption.
Why Coasty is different
Coasty is a computer use platform that lets you control real desktops, browsers, and terminals using agents that see and act like humans. It supports cloud VMs, a desktop app, and the ability to run multiple agents in parallel for larger workloads. There is an API endpoint to trigger agents from your own systems and an MCP server to integrate with your existing tooling. You can bring your own keys for BYOK, and a free tier lets you start experimenting. Coasty’s agents have achieved high performance on OSWorld benchmarks, with 85.6 percent on public results from our in-house model and 82.81 percent on the official OSWorld leaderboard. These scores reflect real‑world control of desktops, browsers, and terminals, not just API calls. That means you get durable automation that can handle the messy, changing parts of your workflows that traditional RPA struggles with.
A more durable automation strategy in 2026
The enterprise automation playbook in 2026 will be a hybrid. Keep RPA for processes that are stable, deterministic, and high‑volume, like reconciliations or batch processing. Shift computer use agents to the long tail of work: SOP‑driven tasks that touch multiple systems, evolve with new fields, and require exception handling. When the UI changes, your agents adapt. When a step fails, they recover. When a new SOP is written, you can deploy an agent without rebuilding a flowchart. The result is a digital workforce that scales without a growing maintenance backlog.
If you are tired of rebuilding bots every time the UI changes, it is time to add computer use agents to your automation stack. Book a demo with the Coasty team to see how an agent can run your first SOP‑driven process and reduce your RPA maintenance burden.
Want to see this in action?
View Case Studies