What to Do When Your RPA Vendor Doubles the Price
The support ticket arrives at 3 PM. The finance team’s data entry bot suddenly fails because the vendor updated their ERP table layout. The bot cannot find the old selector. The developer is on vacation. The workaround is two hours of manual work, and the cost of staying on this vendor has just crossed the line from acceptable to untenable. This is exactly how many automation teams end up with a maintenance backlog and a vendor that knows it can demand more because the bots are built to break.
Why RPA breaks here
Traditional RPA partners with selectors, XPath, and object IDs. An ERP update, a CSS class change, or a new layout shifts every selector in a complex workflow. When the bot cannot find the target, it halts. A developer must analyze the error, locate the new selectors, retrain the bot, and redeploy. This is the rebuild-on-change cycle. Studies on RPA maintenance show that a single change request can cost between four and 30 times the original development effort when bots are built on brittle selectors. Teams often spend more time maintaining bots than they did building them. The vendor knows this dependency and uses it to justify renewal pricing. The price hike is not a market adjustment. It is the price of staying on a platform that breaks every time the business changes.
What changes with computer use agents
- ●survives UI changes without rebuilding
- ●no brittle selectors or object maps
- ●recovers from exceptions instead of halting
- ●follows the SOP as written
- ●works on legacy apps, Citrix, and virtualized desktops
RPA works well for high-volume, stable, deterministic backend tasks. Computer use agents are the durable answer for changing UIs, exception-heavy workflows, and SOP-driven processes.
How to move without the risk
A phased migration protects your team and proves the new model before you commit. Start with a single high-pain process: a workflow that touches multiple legacy systems, suffers frequent UI updates, or requires frequent human overrides. Map the process as a standard operating procedure in plain English. Run that SOP through Coasty’s computer use agent on a sandbox environment. Measure the time to complete, the number of exceptions, and the cost of maintenance. Compare those results against your current RPA metric. When the agent matches or exceeds the current performance with fewer rework hours, expand to the next process. This approach lets you move incrementally. It keeps your existing RPA fleet running for the stable, high-volume tasks it does best, while building a parallel set of agents for the long tail of work that RPA cannot handle.
An RPA price hike should be a signal to rethink the foundation of your automation strategy. Computer use agents see the screen and act like a human, so they survive UI changes, need no brittle selectors, and recover from exceptions instead of halting. Start with one process that is costing you in maintenance and rework, pilot the agent approach, and measure the difference. Talk to the Coasty team to see how a computer use agent can make that move with less risk and more durable results. Book a demo at https://cal.com/coasty/15min .