yes effectively, but we use LLM vision in multiple places - for context, there are multiple ways an RPA can fail:

1. RPA code breaks (ex: throws an exception if a window does not exist) 2. RPA reports success but was clicking / typing in the wrong place 3. Underlying system breaks (virtual machine / legacy software)

the skill we have in our MCP is to build the RPA code to throw exceptions where possible so an LLM can understand the context and recover

to avoid false success states we add LLM vision steps in the workflow itself to error out if it sees that the system is in the wrong state

and for the underlying system breaking it can be as simple as having a CRON job that checks the status of the process / the health of the VM and running a script to reboot the system

it depends on the system but the pattern we've seen with RPAs is you can catch maybe 80% of the edge cases in the first week it's been rolled out