Every month, billing teams in energy and utilities stare at the same problem: high-volume, rule-heavy work that should be automated but is stuck in manual mode. Traditional RPA bots handle some of it, but they break often enough that teams spend more time maintaining bots than building new ones. At the same time, standard operating procedures sit in shared drives, written in plain English, waiting for someone to follow them. The bottleneck is not the work itself. It is the tooling.
Why RPA breaks here
Billing systems in energy and utilities change frequently. Utility providers switch providers for meter data, upgrade customer portals, or rebrand their self-service sites. Each UI change breaks the selectors and xpaths that traditional RPA bots rely on. When a bot fails, it halts. A developer must rebuild the bot, test it, and revalidate the flow. In large enterprises, this means a backlog of broken bots and a team that is constantly in maintenance mode. Industry benchmarks suggest that a significant percentage of RPA deployments require ongoing rework, and many organizations see a noticeable drop in efficiency as bots age. For billing, where every missed cycle can mean revenue leakage or a strained customer relationship, that inefficiency is unacceptable.
What changes with computer use agents
- Agents see the screen and act like a human: move the mouse, click, type, read the result.
- They survive UI changes and app updates without rebuilding the bot.
- No brittle selectors or xpaths to break or expire.
- They recover from exceptions and unexpected states instead of halting.
- They follow a standard operating procedure written in plain English.
- They work across any application, including legacy systems and virtualized desktops like Citrix.
Traditional RPA binds to fixed UI elements. Computer use agents see the screen and adapt to reality.
How to move without the risk
A phased approach reduces risk and builds confidence. Start by picking one high-pain billing process that is rule-based and has a documented SOP. Run a pilot with a computer use agent. Measure the time saved, error reduction, and repeatability. Then expand to similar processes, and gradually replace bots that are already brittle. Keep RPA for high-volume, stable, backend tasks that change rarely and have predictable APIs. Use computer use agents for the long tail: changing UIs, exception-heavy workflows, and processes that are best described in plain language. This hybrid model lets you leverage the strengths of both approaches while reducing the maintenance burden that slows down automation programs.
The ceiling on billing automation is not the volume or the rules. It is the tooling that forces teams to choose between fragile bots and unreadable SOPs. Computer use agents let you automate the latter and stay ahead of UI changes without constant rework. To see how this works in practice, book a demo with the Coasty team at https://cal.com/coasty/15min .
Want to see this in action?
View Case Studies