Public sector back offices are stuffed with repetitive tasks: onboarding, claims processing, vendor approvals, grant tracking. Most agencies run these on a mix of UiPath, Power Automate, Blue Prism, and manual SOPs. The result is a mounting backlog of broken bots, endless redevelopment cycles, and processes that stall whenever a web portal, ERP, or case management system updates.
Why RPA breaks here
Traditional RPA relies on selectors, xpaths, and object IDs. When an agency upgrades a case management portal, rebrands a vendor portal, or changes a legacy VB6 interface, RPA bots stop. In many agencies, each UI change forces a full rebuild, a regression test, and a new deployment cycle. Firms report that roughly 30, 40 percent of RPA effort goes into maintenance and re‑engineering, not new bots. A single back office process with frequent UI changes can easily cost more in upkeep than in initial development. That creates a maintenance treadmill where the more you automate, the more you must rebuild.
What changes with computer use agents
- Survives UI changes: agents see the screen and act like a human, so they can adapt when layouts or fields shift.
- No brittle selectors: agents read visual elements and text, not fragile IDs or xpaths.
- Recovers from exceptions: when an error occurs, agents read the screen and retry, rather than halting.
- Follows the SOP as written: standard operating procedures in plain English are already close to prompts agents can follow directly.
- Works on legacy and Citrix: agents can control virtual desktops and older systems where traditional RPA often fails.
Agents see the screen and adapt. That’s the durable answer to brittle RPA.
How to move without the risk
A phased approach reduces risk and shows value quickly. Start with one high‑pain, SOP‑driven process where UI changes frequently. Run a pilot with a computer use agent to compare time, errors, and maintenance demand versus the existing RPA or manual workflow. Measure how often the agent adapts without developer intervention and how quickly it clears exceptions. When you see a clear advantage, expand to adjacent processes. Use the same agents for processes that RPA can still handle, and keep RPA for high‑volume, stable, backend tasks. This hybrid model lets agencies scale automation without abandoning what already works.
Public sector back offices can move beyond brittle RPA to agents that see the screen and adapt to change. To explore how computer use agents fit your automation roadmap, book a demo with the Coasty team at https://cal.com/coasty/15min .
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