Q: I had thought to buy this for months now . Could you please guide me in these
Part2/2 : 9. Could you guide me with a use case for the Google ADK, mcp, agentic AI features ? Are these already implemented
10. How do you compare with ui path or blue prism
11. Can we purchase additional cloud hours ?
12. What unique advantage will I have vs other ai and RPA tools if I stretch for the top tier .
13. How do you see these discussions about RPA vs AI and RPA to AI transitioning impacting RPA and Robomotion as a high ticket enabler ( not just desktop automation)

Faik_Robomotion
Apr 22, 2025A: Hello,
Our MCP package is ready to use. You can convert your flow into an MCP Server and, for example, connect it to Claude Desktop. We're building our AI Agent package on top of ADK. We aimed to launch on AppSumo but couldn’t make the deadline still working on it, and we hope to release it this week.
Agentic AI is possible using our Chat Assistant (available now) together with the upcoming AI Agent package. If you haven’t already, join our Discord for more details and early teasers: https://community.robomotion.io.
You can do pretty much everything that the big RPA vendors offer. We've managed to replace those tools in some customer projects. Migration from an RPA product can be more challenging if you've invested a lot of time building dozens or hundreds of automations but those platforms are also quite expensive, and scaling with them can become costly.
Our biggest advantage over other RPA products is our ability to run automation sequences in parallel this is our true strength. We replaced a major vendor for one of our clients who had to keep buying more robots to meet demand. We're still handling that project today with just a single dedicated robot.
You can purchase additional cloud hours, and they never expire until you consume all.
We’ve shared many of our thoughts on AI in our Robomotion LinkedIn posts. The key thing is: full AI replacement is hard because AI is non-deterministic an automation might work once, but fail the next time. For long-running tasks, this unreliability becomes more problematic. On the other hand, RPA is 100% deterministic if it works once, it will work every time as programmed.
That said, AI is a great assistant. It helps with building flows, generating code, agentic chat assistant running your flows as tools and can serve as a fallback when an RPA process fails trying to continue the task from where it left off.
Best,