At this time, we have used BotFarm but our implementation is not in a state that can be consumed and used by anyone. To this point, we have not found the value that we expected from this solution.
We have multiple client-server installations. The majority of our deployments are on-premises, although one of them is cloud-based.
Our primary use cases are across multiple industries including support functions for finance and IT.
I have been trying to use this solution, but I have not found it to be usable.
The entire backend system structure is something that I found really valuable.
I think that the governance framework is completely missing from this solution and something needs to be done about it. Other products are ahead of BotFarm in this regard.
Having the validation of the bots is something that can be improved.
Pricing for this solution can be better.
I would like to have access to self-service support.
We are currently evaluating BotFarm. I have not used this solution to a great extent, but perhaps ten to fifteen times over the past twelve months.
This solution is stable if you rate this entire platform.
The robots seem to be scalable. We have been successful in scaling to the requirements that we have. We are planning to increase our usage.
My team has not been in contact with technical support.
We did not use another solution prior to this one.
The initial setup is not simple, for sure. It is of medium complexity.
We are still struggling in certain areas because we have not been successful. Our deployment took approximately 20 to 40 days, I would say.
We implemented this solution ourselves.
We are currently evaluating many products, setting up a CoE for each one to evaluate their worth.
I am hoping that once the entire concept of 2019 BotFarm is released, they will have a proper structure of monetization in place. We are hoping that the bots would be much more value-driven rather than just showcase capabilities.
My advice for anybody who is implementing this solution is to understand the scalability, number one. They need to know what they are looking for. Then, user requirements are important. We've tried the lifecycle of the bots for research and we've found that you need to align it and integrate it with the insights from the performance engine, which is behind the scenes and gives insights from the bots.
From the holistic standpoint of the product offering, there are a lot of things that need to be done. I don't think that the platform really enables you to do the structuring and handle business use cases in a seamless manner. Anybody should be able to pick this up and find insights. Right now, this is a micromanagement-based product.
I would rate this solution a six out of ten.